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ML4PM 2021 - Second International Workshop on Leveraging Machine Learning in Process Mining
by Paolo Ceravolo 10 May '21

10 May '21

3rd International Conference on Process Mining, October 31-November 4, 2021, Eindhoven, the Netherlands # ML4PM 2021 ## SECOND INTERNATIONAL WORKSHOP ON LEVERAGING MACHINE LEARNING IN PROCESS MINING ### October 31-November 4, 2021, Eindhoven, the Netherlands [http://ml4pm2021.di.unimi.it](http://ml4pm2021.di.unimi.it) ### AN ACTIVITY FROM THE [IEEE TASK FORCE ON PROCESS MINING](https://www.win.tue.nl/ieeetfpm/doku.php?id=start) ## About ML4PM The interest in combining Machine Learning and Process Mining has seen increasing growth in the last few years along with the relevance of the ICPM conference. Thus, this workshop offers a focused environment to discuss new approaches, applications and their results to a wide audience, composed of researchers and practitioners. ML4PM will be held in Eindhoven, in conjunction with the ICPM conference. ### Call for Papers This workshop invites papers that present works that lay in the intersection between machine learning and process mining. The event provides a suitable environment to discuss new approaches presented by researchers and practitioners. Main themes include automated process modeling, predictive process mining, application of deep learning techniques and online process mining. The workshop will count with leading researchers, engineers and scientists who are actively working on these topics. ### Topics Topics of interest for submission include, but are not limited to: * Outcome and time prediction * Classification and clusterization of business processes * Application of Deep Learning for PM * Stream mining for online process environments * Anomaly detection for PM * Natural Language Processing and Text Mining for PM * Multi-perspective analysis of processes * Machine Learning for robot process automation * Automated process modeling and updating * Conformance checking based on Machine Learning * Transfer Learning applied to business processes * IoT business services leveraged by Machine Learning * Multidimensional Process Mining * Predictive Process Mining * Prescriptive Learning in Process Mining * Convergence of Machine Learning and Blockchain in Process Mining ### Submission Guidelines Contributions to all calls should be submitted electronically to the Workshop management system connecting to [https://easychair.org/my/conference?conf=icpm2021](https://easychair.org/my…. At least one author of each accepted paper is expected to participate in the conference and present his/her work. Submissions must be original contributions that have not been published previously. Authors are requested to prepare submissions according to the format of the Lecture Notes in Business Information Processing (LNBIP) series by Springer [href="http://www.springer.com/computer/lncs?SGWID=0-164-6-791344-0](http://www.sp…. Submissions must be in English and must not exceed 12 pages (including figures, bibliography and appendices). Each paper should contain a short abstract, clarifying the relation of the paper with the workshop topics, clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to the literature. > > **Registrations** are managed by the [ICPM system](https://icpmconference.org/2021/registration/) > ### Important Dates | Milestone | Deadline| | ------ | ------ | | Abstract Submission| August 19, 2021| | Paper Submission| August 26, 2021| | Notification of Acceptance| September 16, 2021| | Submission of Camera Ready Papers| September 30, 2021| | Workshop| November 1, 2021| |Post-workshop Camera-Ready Papers| November 16, 2021| ## Organizers ### CHAIRS * Paolo Ceravolo, Università degli Studi di Milano, Italy (https://orcid.org/0000-0002-4519-0173) * Sylvio Barbon Jr., State University of Londrina, Brazil (https://orcid.org/0000-0002-4988-0702) * Annalisa Appice, Università degli Studi di Bari, Italy (https://orcid.org/0000-0001-9840-844X) ### Program Committee Matthias Ehrendorfer, University of Vienna Sarajane Marques Peres, University of São Paulo Luís Paulo Faina Garcia, University of Brasilia Michelangelo Ceci, University of Bari Aldo Moro Gabriel Marques Tavares, Università degli Studi di Milano Domenico Potena , Università Politechnica delle Marche Antonella Guzzo, Università della Calabria Natalia Sidorova, Eindhoven University of Technology Irene Teinemaa, Booking.com Wil van der Aalst, RWTH Aachen University María Teresa Gómez, University of Seville Mariangela Lazoi, University of Salento Emerson Cabrera Paraiso, Pontifícia Universidade Católica do Paraná Bruno Bogaz Zarpelão, State University of Londrina Chiara Di Francescomarino, Fondazione Bruno Kessler Fabrizio Maria Maggi, Free University of Bozen-Bolzano

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Call for Papers Special Issue on Machine Learning for Complex Systems Modelling and Control [Mathematical Biosciences and Engineering, AIMS]
by Alessio Martino 07 May '21

07 May '21

Dear Colleagues, I am contacting you in my capacity as Guest Editor for a Special Issue titled: "Machine Learning for Complex Systems Modelling and Control" to appear in “Mathematical Biosciences and Engineering” journal (AIMS Press): http://www.aimspress.com/mbe/article/5971/special-articles <http://www.aimspress.com/mbe/article/5971/special-articles> I hereby invite you and your co-authors to submit an original research paper, or a focused review, for our special issue. Deadline for manuscript submissions is 31 October 2021. Submitted papers will be peer reviewed and, upon acceptance, the paper will be published in open access form soon after professional editing. Thank you in advance for your consideration and I sincerely hope that you will accept this invitation to contribute to this Special Issue. If you believe that you will be able to submit a manuscript, I would also greatly appreciate if you could respond to this invitation at your earliest convenience. “Mathematical Biosciences and Engineering” (ISSN 1551-0018) is an EI, Scopus, WoS, PubMed indexed, interdisciplinary open access journal focuses on new developments in the fast-growing fields of mathematical biosciences and bioengineering. Areas covered include general mathematics, biology, and engineering with an emphasis on cutting-edge integrative and interdisciplinary research bridging mathematics, biology and engineering. Best Regards ________________________________________ Alessio Martino, PhD, Research Fellow Italian National Research Council Institute of Cognitive Sciences and Technologies (ISTC-CNR) Via San Martino della Battaglia 44, 00185 Rome, Italy <https://www.google.com/maps/place/Via+S.+Martino+della+Battaglia,+44,+00185…> Phone: (+39)0644362370-5 E-mail: alessio.martino(a)istc.cnr.it <mailto:alessio.martino@istc.cnr.it> Web: www.istc.cnr.it/en <http://www.istc.cnr.it/en>

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[CFP] International Workshop on Mining and Learning in the Legal Domain (MLLD 2021)
by Zarrinkalam, Fattane (TR Technology) 06 May '21

06 May '21

The International Workshop on Mining and Learning in the Legal Domain (MLLD 2021)<https://sites.google.com/view/mlld2021/home> will be co-located with ICDM-2021<https://icdm2021.auckland.ac.nz/> to be held on December 7-10, 2021, in Auckland, New Zealand. Call For Papers Introduction The increasing accessibility of large legal corpora and databases create opportunities to develop data driven techniques as well as more advanced tools that can facilitate multiple tasks of researchers and practitioners in the legal domain. While recent advancements in the areas of data mining and machine learning have gained many applications in domains such as biomedical, healthcare and finance, there is still a noticeable gap in how much the state-of-the-art techniques are being incorporated in the legal domain. Achieving this goal entails building a multi-disciplinary community that can benefit from the competencies of both law and computer science experts. The goal of this workshop is to bring the researchers and practitioners of both disciplines together and provide an opportunity to share the latest novel research findings and innovative approaches in employing data analytics and machine learning in the legal domain. Topics Following the success of the 1st MLLD workshop (MLLD 2020)<https://sites.google.com/view/mlld2020/home>, the 2nd workshop on Mining and Learning in the Legal Domain (MLLD 2021) discusses a broad variety of topics in various aspects of analyzing legal data such as Legislations, litigations, court cases, contracts, patents, Non-Disclosure Agreements (NDAs) and Bylaws. We encourage submissions on novel mining and learning based solutions in: * Applications of data mining techniques in the legal domain * case outcome prediction * classifying, clustering and identifying anomalies in big corpora of legal records * legal analytics * citation analysis for case law * eDiscovery * Applications of natural language processing and machine learning techniques for legal textual data * information extraction and entity extraction/resolution for legal document reviews * information retrieval and question answering in applications such as identifying relevant case law * summarization of legal documents * legal language modelling and legal document embedding and representation * recommender systems for legal applications * topic modelling in large amounts of legal documents * harnessing of deep learning approaches * Ethical issues in mining legal data * privacy and GDPR in legal analytics * bias in the applications of data mining * transparency in legal data mining * Training data for legal domain * digital lawyers and legal machines * smart contracts * future of law practice in the age of AI * Emerging topics in the intersection of data mining and law * acquisition, representation, indexing, storage, and management of legal data * automatic annotation and learning with human in the loop * data augmentation techniques for legal data * semi-supervised learning, domain adaptation, distant supervision and transfer learning Submissions You are invited to submit your original research and application papers to the workshop. As per ICDM instructions, papers are limited to a maximum of 8 pages, and must follow the IEEE ICDM format requirements. All accepted workshop papers will be published in the formal proceedings by the IEEE Computer Society Press. Each paper is reviewed by at least 3 reviewers from the program committee. Paper review is triple-blind. Manuscripts are to be submitted through CyberChair<https://www.wi-lab.com/cyberchair/2021/icdm21/>. More information about the workshop is available here<https://sites.google.com/view/mlld2021/home>. Important Dates * Paper submission due date: September 3, 2021 * Notification of acceptance: September 24, 2021 * Camera ready submission: October 1, 2021 * MLLD -2021 Workshop: December 7, 2021 Organizing Committee Masoud Makrehchi<mailto:masoud.makrehchi@uoit.ca>, OntarioTech University and Thomson Reuters Labs Shohreh Shaghaghian<mailto:shohreh.shaghaghian@thomsonreuters.com>, Thomson Reuters Labs Ali Vahdat<mailto:ali.vahdat@thomsonreuters.com>, Thomson Reuters Labs Fattane Zarrinkalam<mailto:fattane.zarrinkalam@thomsonreuters.com>, Thomson Reuters Labs This e-mail is for the sole use of the intended recipient and contains information that may be privileged and/or confidential. If you are not an intended recipient, please notify the sender by return e-mail and delete this e-mail and any attachments. Certain required legal entity disclosures can be accessed on our website: https://www.thomsonreuters.com/en/resources/disclosures.html

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CFP: Resilience@Euro-Par 2021 - Papers due May 14 (extended)
by Thomas Naughton 06 May '21

06 May '21

14th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <https://www.csm.ornl.gov/srt/conferences/Resilience/2021> in conjunction with the 27th International European Conference on Parallel and Distributed Computing (Euro-Par), Lisbon, Portugal August 30 - September 3, 2021 <http://2021.euro-par.org> Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), hardware complexity increases (such as due to heterogeneous computing) and software complexity increases (such as due to complex data- and workflows, real-time requirements and integration of artificial intelligence (AI) technologies with traditional applications). Correctness and execution efficiency, in spite of faults, errors, and failures, is essential to ensure the success of the HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. The impact of faults, errors, and failures in such HPC systems can range from financial losses due to system downtime (sometimes several tens-of-thousands of Dollars per lost system-hour), to financial losses due to unnecessary overprovision (acquisition and operating costs), to financial losses and legal liabilities due to erroneous or delayed output. The emergence of AI technology opens up new possibilities, but also new problems. Using AI technology for operational intelligence that enables resilience in HPC systems and centers is a complex control problem, while designing resilient AI technology for HPC applications is a difficult algorithmic problem. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, error/failure and anomaly detection, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient algorithms. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and BETWEEN 10 AND 12 PAGES, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with less than 10 or more than 12 pages will not be accepted due to publisher guidelines. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2021 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2021> - Resilience 2021 Submissions: <https://easychair.org/conferences/?conf=europar2021> (Select "WS06" Track) - Euro-Par 2021 website: <http://2021.euro-par.org> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Experience reports - Error/failure/anomaly detection and reliability/dependability modeling: - Statistical analyses - Machine learning and artificial intelligence - Digital twins - Data collection and aggregation - Information visualization - Monitoring and control for resilience: - Center, system and application monitoring and control - Reliability, availability, serviceability and performability - Tunable fidelity and quality of service - Automated response and recovery - Operational intelligence to enable resilience - End-to-end integrity: - Fault tolerant design of centers, systems and applications - Forward migration and verification - Degraded operation - Error propagation, failure cascades, and error/failure containment - Testing and evaluation, including fault/error/failure injection - Enabling infrastructure for resilience: - Reliability, availability, serviceability systems - System software and middleware - Resilience extensions for programming models - Tools and frameworks - Support for resilience in heterogeneous architectures - Resilient algorithms: - Algorithmic detection and correction - Resilient solvers and algorithm-based fault tolerance - Fault tolerant numerical methods - Robust iterative algorithms - Resilient artificial intelligence Important Dates: - Workshop papers due: May 14, 2021 (23:59 AoE) [Extended] - Workshop author notification: June 30, 2021 - Workshop author registration: TBD - Workshop paper (for informal workshop proceedings, due in EasyChair): July 14, 2021 - Workshop date: August 30 or 31, 2021 - Workshop camera-ready papers: September 10, 2021 General Co-Chairs: - Stephen L. Scott Tennessee Tech University, USA scottsl(a)ornl.gov - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc(a)ornl.gov Program Co-Chairs: - Ferrol Aderholdt Middle Tennessee State University, USA ferrol.aderholdt(a)mtsu.edu - Thomas Naughton Oak Ridge National Laboratory , USA naughtont(a)ornl.gov Workshop Chair Emeritus: - Chokchai (Box) Leangsuksun Louisiana Tech University, USA box(a)latech.edu Program Committee: - Wesley Bland, Intel Corporation, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Marc Casas, Barcelona Supercomputer Center, Spain - Zizhong Chen, University of California at Riverside, USA - James Elliott, Sandia National Laboratories, USA - Kurt Ferreira, Sandia National Laboratories, USA - Saurabh Hukerikar, NVIDIA, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Scott Levy, Sandia National Laboratories, USA - Rolf Riesen, Intel Corporation, USA - Yves Robert, ENS Lyon, France - Thomas Ropars, Universite Grenoble Alpes, France - Martin Schulz, Technical University of Munich, Germany - Keita Teranishi, Sandia National Laboratories, USA _________________________________________________________________________ Thomas Naughton naughtont(a)ornl.gov Research Associate (865) 576-4184

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CFP - 37th International Conference on Logic Programming (extended deadlines)
by Miguel Areias 04 May '21

04 May '21

========================================================================= FINAL CALL FOR PAPERS The 37th International Conference on Logic Programming (ICLP 2021) Fully virtual event hosted by the Department of Computer Science of the University of Porto ========================================================================= New: Extended deadlines (regular papers) ** Abstract registration: May 12, 2021 ** Paper submission: May 18, 2021 New: Invited speakers ** William W. Cohen, Google AI ** John Hooker, CMU ** Phokion Kolaitis, UC Santa Cruz and IBM Almaden ** Stuart Russell, UC Berkeley ** Jeffrey Ullman, Stanford University ========================================================================= Contributions are sought in all areas of logic programming, including but not restricted to: ** Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. ** Languages issues: Concurrency, Objects, Coordination, Mobility, Higher order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming techniques. ** Programming support: Program analysis, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. ** Implementation: Compilation, Virtual machines, Memory management, Parallel/distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. ** Related Paradigms and Synergies: Inductive and coinductive logic programming, Constraint logic programming, Answer set programming, Interaction with SAT, SMT and CSP solvers, Theorem proving, Argumentation, Probabilistic programming, Machine learning. ** Applications: Databases, Big data, Data integration and federation, Software engineering, Natural language processing, Web and semantic web, Agents, Artificial intelligence, Computational life sciences, Cybersecurity, Robotics, Education. Tracks and Affiliated Events **************************** Besides the main track, ICLP 2021 will host additional tracks: ** Applications Track ** Recently Published Research Track and affiliated events: ** MentorLP - Mentoring Workshop on Logic Programming ** Fall School on Logic and Constraint Programming ** Doctoral Consortium ** Tutorials and co-located Workshops More details ************ https://iclp2021.dcc.fc.up.pt Any additional question can be directed towards ICLP Chairs: iclp2021(a)easychair.org =========================================================================

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PhD Position at CIAD / Technology University of Belfort-Montbaliard on "Contribution to cooperative perception and cooperative planning and control of robots in uncertain environment"
by Stéphane Galland 03 May '21

03 May '21

The CIAD laboratory is searching for a PhD candidate to work on cooperative control and planning, cooperative environmental perception,machine learning, multi-agent systems and robot behavior analysis. The PhD project is funded by the Technology University of Belfort- Montbeliard for 36 months.Starting period is September/October 2021. Application details are into the attached file or available on https://www.linkedin.com/feed/update/urn:li:activity:6794917064424341505/ 1) Introduction / background: Several applications in the field of robotics require interactions between robots toaccomplish their task. These interactions can be conflictual as in the case of space sharing,or collaborative as during handling operations. The movements of the robots in both casesmust be synchronized to perform their tasks safely. Due to the uncertain environment,especially in the presence of humans, these movements can experience delays, hence theneed to share the perception of the environment. There are two possible solutions tomeet this need. The first one consists of building a global dynamic representation mapshared and updated by all robots. This assumes that it must be managed centrally. In thesecond approach, which is decentralized, the robots communicate interfering elementswith each other. To do this, they must be able to classify the states of the environmentand jointly define the different sources of delay to synchronize accordingly. Two scientificbuilding blocks are identified in the proposed thesis subject.Cooperative planning and control: This involves studying interaction models and analyzing theproperties of control or trajectory planning. In addition to the properties of the solutions, themodel will be used to deduce the relevant information to be exchanged between the robots.Other control or planning techniques can be exploited. Through these analyzes, the student will beable to address the thorny issue of multi-agent reinforcement learning in the context ofcontinuous decision-making [1]. The aim here is to test the potentials of Deep ReinforcementLearning (DRL) in the context of the learning of several agents [2]. Also, other distributed controlstrategies can be deduced, explored and compared.Dynamic cooperative perception: This involves sharing the perception of a robot's environmentwith other robots and vice versa in a collaborative context [3]. The objective is to increase theperception of each of the robots in order to offer them broader perspectives to carry out theirindividual and collective tasks as well as possible [4]. In general, each robot, equipped with one ormore sensors (cameras, Lidars, etc.), must be able to locally perceive its surrounding space, thenintegrate all the information useful for the mission of each robot in its perception or knowledgemap [5]. The student will focus particularly on creating a dynamic representation of the perceptionof each robot by exploiting its own perception and those shared by other robots. The objectivehere is to understand the dynamic content of the environment by recognizing situations or eventsthat may cause difficulties to the robot itself, but also to other robots participating in the collectivemission. This representation requires a spatial and temporal registration, which can be complexdepending on the type of information shared.2) Planned works:The two scientific topics presented above will have to be treated and exploited jointly.Cooperative control and planning can benefit fromdynamic cooperative perception and vice versa.Indeed, the results of perception will be exploited to optimize the control of the robots, and inreturn, the perception process will exploit the robots control or planning to improve theirperception in terms of prediction for example. From a practical point of view, the sharing andupdating of the perception map of each robot can be done at the request of the robot concerned(to other robots) or can be detected automatically as part of a strategy defined by the missionitself and made known to all robots participating in the mission.For experiment and testing, the student will benefit from an application in a concrete case ofcollaboration between several real robots and a computing platform. The data will be generatedthrough real and augmented tests. [1] Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, and Igor Mordatch. 2017. Multi-agentactor-critic for mixed cooperative-competitive environments. In Proceedings of the 31stInternational Conference on Neural Information Processing Systems (NIPS'17). Curran AssociatesInc., Red Hook, NY, USA, 6382–6393.[2] OROOJLOOYJADID, Afshin et HAJINEZHAD, Davood. A review of cooperative multi-agent deepreinforcement learning. arXiv preprint arXiv:1908.03963, 2019.[3] SCHMUCK, Patrik et CHLI, Margarita. CCM ‐ SLAM: Robust and efficient centralized collaborativemonocular simultaneous localization and mapping for robotic teams. Journal of Field Robotics,2019, vol. 36, no 4, p. 763-781.[4] QUERALTA, Jorge Pena, TAIPALMAA, Jussi, PULLINEN, Bilge Can, et al. Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision. IEEE Access,2020, vol. 8, p. 191617-191643.[5] YANG, Chule, WANG, Danwei, ZENG, Yijie, et al. Knowledge-based multimodal informationfusion for role recognition and situation assessment by using mobile robot. Information Fusion,2019, vol. 50, p. 126-138.-- Laboratoire Connaissance et Intelligence Artificielle Distribuées CIAD UMR 7533 Prof. Dr. Stéphane GALLAND Full Professor of Computer Science and Multiagent Systems Deputy Director of CIAD French Head of ARFITEC ARF-17-11 & ARF-19-11 "Energy, Transport, Industry, Challenges for tomorrow" Senior member of the Multiagent Group Member of AFIA Université de Technologie de Belfort-Montbéliard - UBFC 13, rue Ernest Thierry-Mieg 90010 Belfort Cedex, FRANCE CIAD Lab: www.ciad-lab.fr Web: www.ciad-lab.fr/author-10836 Phone: +33 384 583 418 (work office)

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Ada-Europe Int.Conf. Reliable Software Technologies, AEiC 2021
by Dirk.Craeynest＠cs.kuleuven.be 27 Apr '21

27 Apr '21

----------------------------------------------------------------------- Call for Participation *** PROGRAM SUMMARY *** 25th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2021) 7-10 June 2021, Virtual Event www.ada-europe.org/conference2021 Organized by University of Cantabria and Ada-Europe in cooperation with ACM SIGAda, SIGPLAN, SIGBED and the Ada Resource Association (ARA) #AEiC2021 #AdaEurope #AdaProgramming ----------------------------------------------------------------------- *** General Information The 25th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2021), initially scheduled to take place in Santander, Spain, will be held online from the 7th to the 10th of June 2021, using the underline.io conference platform. The conference program includes parallel tutorials on Monday 7th, and a technical program and vendor exhibition from Tuesday to Thursday. The conference also includes breaks and virtual social events that will allow networking among the participants. *** Overview of the Week Monday 7th - Welcome Social Event - 5 Parallel Tutorials - Ice-Breaking Social Event Tuesday 8th - Ice-Breaking Social Event and Opening - Techn. Session 1: Scheduling and mixed-criticality systems - Keynote 1 - Techn. Session 2: Software modeling - Social Event Wednesday 9th - Welcome Social Event - Techn. Session 3: Autonomous systems - Work-in-Progress Session - Keynote 2 - Techn. Session 4: Ada issues and Ravenscar - Social Event Thursday 10th - Welcome Social Event - Techn. Session 5: Validation and verification tools - Techn. Session 6: Emerging applications with reliability requirements - Keynote 3 - Techn. Session 7: Safety challenges - Best Presentation Award, Closing Session and Party The program runs between 12:30 and 18:30 CEST, to allow participation from different time zones. For full details and up-to-date information, see the conference web page: http://www.ada-europe.org/conference2021 *** Keynote Talks In each of the three main conference days, a keynote will be delivered to address hot topics of relevance in the conference scope, with ample time for questions and answers. The keynotes will be: - Ángel Conde, Data Analytics and Artificial Intelligence team leader at IKERLAN (Spain), who will present his work on "Software reliability in the Big Data era with an industry-minded focus". - Alfons Crespo, who is with the Institute of Automation and Industrial Informatics of the Universitat Politècnica de València (Spain), will give an answer to the question "Why hypervisor-based approach is the best alternative for mixed-criticality systems". - Tucker Taft, who is Director of Language Research at AdaCore (USA), will talk on "A sampling of Ada 2022". *** Technical Sessions Given the current sanitary situation and the need to resort to a virtual format for the conference, we will all experience the advantages and benefits of exploring new formats. The technical sessions are designed with the flipped-conference concept, where the audience can access the pre-recorded presentation materials in advance and the live sessions are devoted to short presentations of the highlights of each contribution, allowing ample time for questions and answers with the presenter. The recorded materials will also be available for some time after their sessions. The technical sessions include papers submitted to the journal track that are heading towards final acceptance and open-access publication, together with industrial, invited and vendor presentations. *** Work-in-Progress Session The Work-in-Progress session contains contributions of evolving and early-stage ideas, or new research directions. They are presented in a special session consisting of a round of very short presentations of the highlights of each contribution, followed by a poster session in the same virtual space where the breaks are held. *** Exhibition From Tuesday to Thursday the conference platform will provide access to virtual booths where participants will be able to find information on the conference exhibitors and chat with them or request meetings. The virtual break lounge where the breaks and social events will take place will also have a space for meeting with the exhibitors. *** Tutorials Five four-hour parallel tutorials are offered on Monday 7th: - TU-1: Programming mobile robots with ROS2 and the RCLAda Ada client library, by Alejandro R. Mosteo - TU-2: Introduction to the development of safety critical software, by Jean-Pierre Rosen - TU-3: Parallel programming with Ada and OpenMP, by Sara Royuela, S. Tucker Taft, Luis Miguel Pinho - TU-4: Timing verification from UML & MARTE design models: techniques & tools, by Laurent Rioux, Julio Medina and Shuai Li - TU-5: Programming shared memory computers, by Jan Verschelde *** Social Program The virtual conference platform will offer a space under the gather.town environment to allow informal and lively gathering of the participants. This space may have different areas, such as rooms, tables, and corners where a participant can approach to talk though videoconferencing with participants in the same virtual area. This facility will be used for the breaks, poster session, exhibition and social events. Particular themes for some of the social events will be announced in the conference platform and in the web page. *** Further Information Participation for the full event, including tutorials, is free for Ada-Europe members and only 60 EUR for all others. Registration is required for all. The conference web page will shortly give full and up-to-date details on the program, the registration process and the virtual platform: http://www.ada-europe.org/conference2021 *** AEiC 2021 Sponsors - AdaCore: https://www.adacore.com/ - Ellidiss: https://www.ellidiss.com/ - PTC: http://www.ptc.com/developer-tools - Universidad de Cantabria: https://web.unican.es/en/ - Vector: https://www.vector.com/at/en/ The conference is supported and sponsored by - Ada-Europe: http://www.ada-europe.org/ and organized in cooperation with - ACM SIGAda: http://www.sigada.org/ - ACM SIGBED: https://sigbed.org/ - ACM SIGPLAN: http://www.sigplan.org/ - ARA: https://www.adaic.org/community/ ----------------------------------------------------------------------- Our apologies if you receive multiple copies of this announcement. Please circulate widely. Dirk Craeynest, AEiC 2021 Publicity Chair (aka Ada-Europe 2021) Dirk.Craeynest(a)cs.kuleuven.be

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CAS at ICCSA 2021: New Conference Dates and Deadlines
by Ana Cristina Silva Braga 27 Apr '21

27 Apr '21

Dear Colleague, ICCSA 2021 will be organized as a virtual conference with online-only participation (which includes online attendance and presentation in sessions, and the publication of papers in Springer LNCS or IEEE CPS conference proceedings) Optional in-presence participation may be organized, should the COVID-19 restrictions allow it. The Organizing Committee decided to move the dates of the conference to 13-16 September 2021 to benefit from the vaccine effect and to have a higher number of participants in person. Registration fees: * Virtual conference online-only participation: 150 Euro * Optional in-presence participation: regular 520 Euro, students 340 Euro, workshop chair 315 Euro ***************************************************************************** ********************** APOLOGIES FOR MULTIPLE COPIES RECEIVED ****************** ************************** CAS 2021 at ICCSA 2021 ******************************* ************************University of Cagliari, Cagliari, Italy ************************ *************************** NEW CONFERENCE DATES **************************** ***************************************************************************** Computational and Applied Statistics (CAS 202<https://cas2020.webnode.com/>1) Workshop of the 21th International Conference on Computational Science and Applications (ICCSA 2021, http://www.iccsa.org/) will be held in Cagliari, Italy. TOPICS ====== The aim of CAS workshop is to bring together scientists working in computational statistics, scientific computation and applications in all areas of sciences, engineering, industry, economics, life sciences and social sciences. Topics of interest include (but are not limited to): * Computational Statistics: new issues in the design of computational algorithms for implementing statistical methods, development in R, etc * Applications: statistical case study in all areas of sciences, engineering and industry, including economics, medicine, biology, earth sciences and social sciences. IMPORTANT DATES (NEW) ====================== May 10, 2021: Deadline for paper submission to the General Tracks (Workshops may select a different deadline) June 6, 2021: Notification of Acceptance. June 21, 2021: Submission deadline for the final version of the Proceeding Papers (firm deadline). June 28, 2021: Registration ends (firm deadline). September 13-16, 2021: ICCSA 2021 Conference PROCEEDINGS ============ The proceedings of the CAS 2021 Workshop will appear in the Springer-Verlag, Lecture Notes in Computer Science (LNCS) series. The paper must be camera-ready, between 10 and 16 pages long and formatted according to the LNCS rules SUBMISSION DETAILS ================== All accepted papers will be included in the Springer Lecture Notes in Computer Science (LNCS, http://www.springer.com/gp/computer-science/lncs ) series and indexed by Scopus, EI Engineering Index, Thomson Reuters Conference Proceedings Citation Index (included in ISI Web of Science), and several other indexing services. The papers will contain linked references, XML versions and citable DOI numbers. Submitted papers will be subject to stringent peer review by at least three experts and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. The authors can submit abstracts and papers to your session accessing the electronic submission site: http://ess.iccsa.org/ You can find the instructions to prepare and submit papers on the web site: http://www.iccsa.org/instructions-for-authors If you are not registered, you must to register before the submission. From the personal page the author is able to submit first an abstract (phase 1), then a full paper (phase 2), selecting the session from the list of sessions in the submission forms. The author will be able to update the paper until the submission deadline. ORGANIZER =========== * Ana Cristina Braga (acb(a)dps.uminho.pt<mailto:acb@dps.uminho.pt>), Dep. of Production and Systems (University of Minho), Algoritmi Research Centre (University of Minho), Portugal. If you have some doubts or problems, do not hesitate to contact the organizer. Best regards, Ana Cristina Braga (CAS 2021 organizer)

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Distinguished Lecture by Prof. Milind Tambe: ‘AI for Social Impact: Results from deployments for public health and conservation’
by COMP HKBU 27 Apr '21

27 Apr '21

Dear Sir or Madam, You are cordially invited to attend the *HKBU Faculty of Science 60th Anniversary Distinguished Lecture by Prof. Milind Tambe*, which will be held on* Thursday, 13 May 2021 HKT (GMT+8) *via *Zoom Webinar*. Please register at http://bit.ly/d-reg on or before 12:00nn, 12 May 2021 (HKT). Details are as follows:- *Abstract* With the maturing of AI and multiagent systems research, we have a tremendous opportunity to direct these advances towards addressing complex societal problems. I focus on the problems of public health and conservation, and address one key cross-cutting challenge: how to effectively deploy our limited intervention resources in these problem domains. I will present results from work around the globe in using AI for HIV prevention, Maternal and Child care interventions, TB prevention and COVID modeling, as well as for wildlife conservation. Achieving social impact in these domains often requires methodological advances. To that end, I will highlight key research advances in multiagent reasoning and learning, in particular in, computational game theory, restless bandits and influence maximization in social networks. In pushing this research agenda, our ultimate goal is to facilitate local communities and non-profits to directly benefit from advances in AI tools and techniques. *Biography* Milind Tambe is Gordon McKay Professor of Computer Science and Director of Center for Research in Computation and Society at Harvard University; concurrently, he is also Director "AI for Social Good" at Google Research India. He is a recipient of the IJCAI John McCarthy Award, ACM/SIGAI Autonomous Agents Research Award from AAMAS, AAAI Robert S Engelmore Memorial Lecture award, INFORMS Wagner prize, Rist Prize of the Military Operations Research Society, Columbus Fellowship Foundation Homeland security award, over 25 best papers or honorable mentions at conferences such as AAMAS, AAAI, IJCAI and meritorious commendations from agencies such as the US Coast Guard and the Los Angeles Airport. Prof. Tambe is a fellow of AAAI and ACM. For more details, please visit https://www.comp.hkbu.edu.hk/dlecture/ . If you have any questions, please feel free to contact comp(a)comp.hkbu.edu.hk . Thank you. Best regards, Department of Computer Science Hong Kong Baptist University

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Last call: Invitation to join 2021 Spring School 'CVML Short Course - Computer Vision for Autonomous Systems', 5-6th May 2021 (6th edition)
by Ioanna Koroni 27 Apr '21

27 Apr '21

Dear Computer Vision, Deep Learning and/or Autonomous systems engineers, scientists and enthusiasts, you are welcomed to register in this CVML Short e-course on 'Computer Vision for Autonomous Systems', 5-6th May 2021: <https://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-aut onomous-systems/> https://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-auto nomous-systems/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming exercises to improve your programming skills. It is part of the very successful CVML short course series that took place in the last three years. The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (8 hours) provide an in-depth presentation of 2D and 3D Computer Vision theory and applications in the above-mentioned diverse domains, primarily for semantic 3D world modeling and localization. Computer Vision starts with a detailed presentation of digital image/video fundamentals and image acquisition and camera geometry, including camera calibration. Then, two lectures on: a) Stereo and Multiview imaging and b) Structure from motion will provide the theoretical and algorithmic tools to recover 3D world models from images. They will be used on Localization and mapping that is of primary importance in Autonomous Systems and Robotic perception. This is complemented by Neural techniques for recovering depth information and 3D world modeling, even from monocular images. Deep semantic image segmentation will conclude this part, by providing DNN methods both to label and segment regions, e.g., roads and targets, e.g., cars, pedestrians. Part B lectures (8 hours) will start with an overview of Autonomous Systems Sensors. Then , it will provide an in-depth presentation of Computer Vision theory and applications in autonomous systems, particularly as related to target detection, tracking and object pose estimation. Applications will be presented for Multiple Drone Systems Autonomous Car Vision and Autonomous Marine Surface Vessels. Finally, CVML programming tools (e.g., DNN frameworks, BLAS/cuBLAS, DNN and CV libraries) are overviewed, as they allow fast application of all the above knowledge in almost any application domain. Course lectures Part A: Computer Vision (first day, 8 lectures) 1. Digital images and videos 2. Image Acquisition. Camera Geometry 3. Stereo and Multiview Imaging 4. Structure from Motion 5. 3D Robot Localization and Mapping 6. Neural 3D world modeling 7. Image/Point cloud registration 8. Deep semantic image segmentation Part B: Autonomous Systems (second day, 8 lectures) 1. Autonomous Systems Sensors 2. Deep object detection 3. Object Tracking 4. Object Pose Estimation 5. Multiple Drone Systems 6. Autonomous Car Vision 7. Autonomous Surface Vessels 8. CVML Software Development Tools Though independent, the attendees of this short e-course will greatly benefit by attending the CVML Short e-course on 'Machine Learning and Deep Neural Networks' 27-28th April 2021: <http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-dee p-neural-networks/> http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-deep -neural-networks/ You can use the following link for course registration: <http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-auto nomous-systems/> http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-auton omous-systems/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires and programming exercises can be found therein. For questions, please contact: Ioanna Koroni < <mailto:koroniioanna@csd.auth.gr> koroniioanna(a)csd.auth.gr> The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: <https://aerial-core.eu/> https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: <https://multidrone.eu/> https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: <https://ai4media.eu/> https://ai4media.eu/ 5) AIIA Lab: <https://aiia.csd.auth.gr/> https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: <https://lists.auth.gr/sympa/info/cvml> https://lists.auth.gr/sympa/info/cvml -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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Call for Papers: The 7th Int. Conf. on Machine Learning, Optimization & Data Science – LOD 2021, October 5-8, 2021 – Grasmere, Lake District, England – UK - Paper Submission Deadline: April 29
by Ludovico Montalcini 26 Apr '21

26 Apr '21

Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees, thanks! -- The 7th International Conference on Machine Learning, Optimization, and Data Science – LOD 2021 - October 5-8, 2021 – Grasmere, Lake District, England – UK LOD 2021, An Interdisciplinary Conference: Machine Learning, Optimization, Big Data & Artificial Intelligence without Borders https://lod2021.icas.cc lod(a)icas.cc PAPERS SUBMISSION: All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=lod2021 Paper Submission deadline: Thursday April 29, 2021 (Anywhere on Earth) Any questions regarding the submission process can be sent to conference organizers: lod(a)icas.cc PAPER FORMAT: Please prepare your paper in English using the Springer Nature – Lecture Notes in Computer Science (LNCS) template, which is available here. Papers must be submitted in PDF. TYPES OF SUBMISSIONS: When submitting a paper to LOD 2021, authors are required to select one of the following four types of papers: * long paper: original novel and unpublished work (max. 15 pages in Springer LNCS format); * short paper: an extended abstract of novel work (max. 5 pages); * work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference; * abstract for poster presentation only (max 2 pages; any format). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the conference. Each paper submitted will be rigorously evaluated. The evaluation will ensure the high interest and expertise of reviewers. Following the tradition of LOD, we expect high-quality papers in terms of their scientific contribution, rigor, correctness, novelty, clarity, quality of presentation and reproducibility of experiments. Accepted papers must contain significant novel results. Results can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact. It is also possible to present the talk virtually (Zoom). KEYNOTE SPEAKERS: * Ioannis Antonoglou, DeepMind, UK Topics: AlphaGO, Model-Based Reinforcement Learning Title: TBA * Paige Bailey, Microsoft, USA Topics: TensorFlow 2.0, Data Analysis, Machine Learning Title: Machine Learning with TF 2.x and JAX * Panos Pardalos, University of Florida, USA Topics: Optimization, Complex Networks & Data Science Title: TBA * Verena Rieser, Heriot Watt University, UK Topics: Natural Language Processing, Conversational AI, Spoken Dialogue Systems, Dialog, Natural Language Generation Title: Advances and Challenges in Conversational AI More Keynote Speakers Coming soon! TUTORIAL SPEAKER(S): * "Introduction to PyTorch" (4 hours), Thomas Viehmann, MathInf GmbH, Germany More Tutorial Speakers Coming soon! PAST LOD KEYNOTE SPEAKERS: https://lod2021.icas.cc/past-keynote-speakers/ Pierre Baldi, University of California Irvine, USA Yoshua Bengio, Head of the Montreal Institute for Learning Algorithms (MILA) & University of Montreal, Canada Bettina Berendt, TU Berlin, Germany & KU Leuven, Belgium, and Weizenbaum Institute for the Networked Society, Germany Jörg Bornschein, DeepMind, London, UK Michael Bronstein, Imperial College London, UK Nello Cristianini, University of Bristol, UK Peter Flach, University of Bristol, UK, and EiC of the Machine Learning Journal Marco Gori, University of Siena, Italy Arthur Gretton, UCL, UK Arthur Guez, Google DeepMind, Montreal, UK Yi-Ke Guo, Imperial College London, UK George Karypis, University of Minnesota, USA Vipin Kumar, University of Minnesota, USA Marta Kwiatkowska, University of Oxford, UK Angelo Lucia, University of Rhode Island, USA George Michailidis, University of Florida, USA Kaisa Miettinen, University of Jyväskylä, Finland Stephen Muggleton, Imperial College London, UK Panos Pardalos, University of Florida, USA Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany Tomaso Poggio, MIT, USA Andrey Raygorodsky, Moscow Institute of Physics and Technology, Russia Mauricio G. C. Resende, Amazon.com Research and University of Washington Seattle, Washington, USA Raniero Romagnoli, CTO Almawave, Italy Ruslan Salakhutdinov, Carnegie Mellon University, USA, and AI Research at Apple Maria Schuld, Xanadu & University of KwaZulu-Natal, South Africa Vincenzo Sciacca, Almawave, Italy My Thai, University of Florida, USA Richard E. Turner, Department of Engineering, University of Cambridge, UK Ruth Urner, York University, Toronto, Canada Isabel Valera, Saarland University, Saarbrücken & Max Planck Institute for Intelligent Systems, Tübingen, Germany SPECIAL SESSIONS: https://lod2021.icas.cc/special-sessions/ *) Special Session on "Data Science for Sustainable Cities" Chairs: Alberto Castellini, Alessandro Farinelli, Giuseppe Nicosia, Varun Ojha Contact: alberto.castellini(a)univr.it The amount of data generated nowadays by society, city infrastructures, and digital technologies around us is astonishing. The analysis, modeling and knowledge extraction of/from these data is a key asset for understanding urban environments and improving the efficiency of urban mobility, air quality and other forms of sustainability. This special session provides a platform to share high-quality research ideas related to data science methods and technologies for urban environments, a topic of crucial importance for many Sustainable Development Goals (i.e., SDG 7 on Sustainable Energy and SDG 11 on Sustainable Cities and Communities). Another important goal is to establish a meeting point for researchers in academia and industry who develop methodologies and technologies for data science, machine learning and artificial intelligence with specific applications in smart and sustainable cities. Analytics for smart growth and effective infrastructure A selection of the best papers accepted for the presentation at the special session will be invited to submit an extended version for publication on Frontiers in Sustainable Cities ( https://www.frontiersin.org/journals/sustainable-cities#) *) Special Session on AI for Sustainability We welcome contributions on AI for Sustainable Development, AI for Sustainable Urban Mobility, AI for Food Security, AI to fight Deforestation, cutting-edge technology AI to create Inclusive and Sustainable development that leaves no one behind. *) Special Session on AI to help to fight Climate Change AI is a new tool to help us better manage the impacts of climate change and protect the planet. AI can be a “game-changer” for climate change and environmental issues. AI refers to computer systems that “can sense their environment, think, learn, and act in response to what they sense and their programmed objectives,” World Economic Forum report, Harnessing Artificial Intelligence for the Earth. We accept papers/short papers/talks at the intersection of climate change, AI, machine learning and data science. AI, Machine Learning and Data Science can be invaluable tools both in reducing greenhouse gas emissions and in helping society adapt to the effects of climate change. We invite submissions using AI, Machine Learning and/or Data Science to address problems in climate mitigation/adaptation including but not limited to the following topics: * Industrial Session Chairs: Giovanni Giuffrida – Neodata. * Special Session on Explainable Artificial Intelligence Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications. https://robotics.sciencemag.org/content/4/37/eaay7120 * Special Session on Multi-Objective Optimization (MOO) & Multi Criteria Decision Aiding (MCDA) * The 7 Special Sessions on Machine Learning Multi-Task Learning Reinforcement Learning Deep Learning Generative Adversarial Networks Deep Neuroevolution Networks with Memory Learning from Less Data and Building Smaller Models * The 7 Special Session on Data Science and Artificial Intelligence Simulation Environments to understand how AI Systems Learn Chatbots and Conversational Agents Data Science at Scale & Data in the Cloud Urban Informatics & Data-Driven Modelling of Complex Systems Data-centric Engineering Data Security, Traceability of Information & GDPR Economic Data Science BEST PAPER AWARD: Springer sponsors the LOD 2021 Best Paper Award with a cash prize of 1,000 Euro. https://lod2021.icas.cc/best-paper-award/ PROGRAM COMMITTEE: 500+ confirmed PC members! Breaking the record of the last edition of LOD! https://lod2021.icas.cc/program-committee/ VENUE: https://lod2021.icas.cc/venue/ “ESCAPE THE HURRYING WORLD – The loveliest spot that man hath ever found…” Escape to the Lake District, England – a UNESCO World Heritage site – and you’ll find it’s easy to share William Wordsworth’s delight in the area. The Wordsworth Hotel & Spa (****) Address: Grasmere, Ambleside, Lake District, Cumbria, LA22 9SW, England, UK Phone: +44-1539-435592 Email: enquiry(a)thewordsworthhotel.co.uk Web: www.thewordsworthhotel.co.uk ACCOMMODATION: https://lod2021.icas.cc/accommodation/ ACTIVITIES: https://lod2021.icas.cc/activities/ Best WALKS in the Lake District National Park: https://lod2021.icas.cc/walks/ Submit your research work today! https://easychair.org/conferences/?conf=lod2021 See you in the beautiful Lake District - UK in October! Best regards, LOD 2021 Organizing Committee Past Editions https://lod2021.icas.cc/past-editions/ LOD 2020, The Sixth International Conference on Machine Learning, Optimization and Big Data Certosa di Pontignano – Siena – Tuscany – Italy. Nature Springer – LNCS volumes 12565 and 12566. LOD 2019, The Fifth International Conference on Machine Learning, Optimization and Big Data Certosa di Pontignano – Siena – Tuscany – Italy. Nature Springer – LNCS volume 11943. LOD 2018, The Fourth International Conference on Machine Learning, Optimization and Big Data Volterra – Tuscany – Italy. Nature Springer – LNCS volume 11331. MOD 2017, The Third International Conference on Machine Learning, Optimization and Big Data Volterra – Tuscany – Italy. Springer – LNCS volume 10710. MOD 2016, The Second International Workshop on Machine learning, Optimization and big Data Volterra – Tuscany – Italy. Springer – LNCS volume 10122. MOD 2015, International Workshop on Machine learning, Optimization and big Data Taormina – Sicily – Italy. Springer – LNCS volume 9432. Past Keynote Speakers: https://lod2021.icas.cc/past-keynote-speakers/ https://www.facebook.com/groups/2236577489686309/ https://twitter.com/TaoSciences https://www.linkedin.com/groups/12092025/ * Apologies for multiple copies. Please forward to anybody who might be interested * lod(a)icas.cc https://lod2021.icas.cc LOD2021 Poster: https://lod2021.icas.cc/wp-content/uploads/sites/16/2021/04/poster-LOD-2021… --

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Live e-Lecture by Prof. Anibal Ollero: “Toward efficient and safe intelligent aerial robotics and aerial manipulation”, 4th May 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures
by Ioanna Koroni 26 Apr '21

26 Apr '21

Dear AI scientist/engineer/student/enthusiast, Prof. Anibal Ollero (University Seville, Spain), a prominent AI & Robotics researcher internationally, will deliver the e-lecture: ‘Toward efficient and safe intelligent aerial robotics and aerial manipulation’, on Tuesday 4th May 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: <http://www.i-aida.org/ai-lectures/> http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/91092951412 & Passcode: 148148 The <http://www.i-aida.org/> International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects <https://ai4media.eu/> AI4Media, ELISE <https://www.elise-ai.eu/> , Humane AI Net <https://www.humane-ai.eu/> , TAILOR <https://tailor-network.eu/> , VISION <https://www.vision4ai.eu/> , currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures are typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. John Shawe-Taylor (University College London, UK), 18th May 2021 17:00 – 18:00 CET. More lecture infos in: <http://www.i-aida.org/future-lectures/> http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list <https://lists.auth.gr/sympa/info/aida> and <https://lists.auth.gr/sympa/info/cvml> CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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[SIGKDD Workshop on Mining and Learning from Time Series 2021]: Call for papers
by Sanjay Purushotham 22 Apr '21

22 Apr '21

CFP Webpage: https://kdd-milets.github.io/milets2021/#call -------------------------------------------------------------- 7th SIGKDD Workshop on Mining and Learning from Time Series (MiLeTS) 2021 Aug 14th, 2021 - KDD Virtual Conference https://kdd-milets.github.io/milets2021/ -------------------------------------------------------------- ---------------- KEY DATES ---------------- Paper Submission Deadline: May 20th, 2021, 11:59PM Alofi Time Author Notification: June 10th, 2021 Camera Ready Version: June 24th, 2021 Workshop: August 14th, 2021 ------------------------------------------------- MiLeTS is the premier KDD workshop on Mining and Learning from Time Series. Time series data are ubiquitous. In domains as diverse as finance, entertainment, transportation, and health care, we observe a fundamental shift away from parsimonious, infrequent measurement to nearly continuous monitoring and recording. Rapid advances in diverse sensing technologies, ranging from remote sensors to wearables and social sensing, are generating rapid growth in the size and complexity of time series archives. Thus, although time series analysis has been studied extensively, its importance only continues to grow. What is more, modern time series data pose significant challenges to existing techniques (e.g., irregular sampling in hospital records and spatiotemporal structure in climate data). Finally, time series mining research is challenging and rewarding because it bridges a variety of disciplines and demands interdisciplinary solutions. Now is the time to discuss the next generation of temporal mining algorithms. The focus of MiLeTS workshop is to synergize the research in this area and discuss both new and open problems in time series analysis and mining. The solutions to these problems may be algorithmic, theoretical, statistical, or systems-based in nature. Further, MiLeTS emphasizes applications to high impact or relatively new domains, including but not limited to biology, health and medicine, climate and weather, road traffic, astronomy, and energy. The MiLeTS workshop will discuss a broad variety of topics related to time series, including: · Time series pattern mining and detection, representation, searching and indexing, classification, clustering, prediction, forecasting, and rule mining. · BIG time series data. · Hardware acceleration techniques using GPUs, FPGAs and special processors. · Online, high-speed learning and mining from streaming time series. · Uncertain time series mining. · Privacy preserving time series mining and learning. · Time series that are multivariate, high-dimensional, heterogeneous, etc., or that possess other atypical properties. · Time series with special structure: spatiotemporal (e.g., wind patterns at different locations), relational (e.g., patients with similar diseases), hierarchical, etc. · Time series with sparse or irregular sampling, non-random missing values, and special types of measurement noise or bias. · Time series analysis using less traditional approaches, such as deep learning and subspace clustering. · Applications to high impact or relatively new time series domains, such as health and medicine, road traffic, and air quality. · New, open, or unsolved problems in time series analysis and mining. ------------------------------ Submission Guidelines ------------------------------ Submissions should follow the SIGKDD formatting requirements and will be evaluated using the SIGKDD Research Track evaluation criteria. Preference will be given to papers that are reproducible, and authors are encouraged to share their data and code publicly whenever possible. Submissions are strongly recommended to be no more than 4 pages, excluding references or supplementary materials (all in a single pdf). The appropriateness of using additional pages over the recommended length will be judged by reviewers. All submissions must be in pdf format using the workshop template (latex, word). Submissions will be managed via the MiLeTS 2021 EasyChair website: https://easychair.org/conferences/?conf=milets2021. *Note on open problem submissions:* To promote new and innovative research on time series, we plan to accept a small number of high-quality manuscripts describing open problems in time series analysis and mining. Such papers should provide a clear, detailed description and analysis of a new or open problem that poses a significant challenge to existing techniques, as well as a thorough empirical investigation demonstrating that current methods are insufficient. *COVID-19 Time Series Analysis Special Track:* The COVID-19 pandemic is impacting almost everyone worldwide and is expected to have life-altering short and long-term effects. There are many potential applications of time series analysis and mining that can contribute to the understanding of this pandemic. We encourage the submission of high-quality manuscripts describing original problems, time-series datasets, and novel solutions for time series analysis and forecasting of COVID-19. The review process is single-round and double-blind (submission files have to be anonymized). Concurrent submissions to other journals and conferences are acceptable. Accepted papers will be presented as posters during the workshop and listed on the website. Besides, a small number of accepted papers will be selected to be presented as contributed talks. Any questions may be directed to the workshop e-mail address: kdd.milets(a)gmail.com. ----------------- KEY DATES ----------------- Paper Submission Deadline: May 20th, 2021, 11:59PM Alofi Time Author Notification: June 10th, 2021 Camera Ready Version: June 24th, 2021 Workshop: August 14th, 2021 ------------------------------- Organizing Committee ------------------------------- Sanjay Purushotham University of Maryland, Baltimore County Yaguang Li Google Zhengping Che Didi Chuxing -------------------------- Steering Committee -------------------------- Eamonn Keogh University of California Riverside Yan Liu University of Southern California Abdullah Mueen University of New Mexico ------------- Contact: -------------- Any questions may be directed to the workshop e-mail address: kdd.milets(a)gmail.com.

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CFP - KDD 2021 Workshop on Misinformation and Misbehavior Mining on the Web (MIS2)
by Kai Shu 21 Apr '21

21 Apr '21

Workshop website: http://claws.cc.gatech.edu/mis2-kdd2021Call for papers The web is a space for all, allowing participating individuals to read, publish and share content openly. Despite its groundbreaking benefits in areas such as education and communication, it has also become a breeding ground for misbehavior and misinformation: any individual can reach thousands of people on the web near-instantaneously, purporting whatever they wish while also being shielded by anonymity. This capacity has led to rampant increases in misbehavior and misinformation vectors, via harassment, online scams, spread of propaganda, hate speech, deceptive reviews and more. Such issues have severe implications on both social and financial fronts. The study of misinformation and misbehavior mining has become focal for researchers across many subfields of data, computational and social sciences, including network science, machine learning, cybersecurity, privacy, natural language processing, human computer interaction and more. MIS2 @ KDD 2021 provides a venue for researchers working in, or adjacent to these diverse areas to coalesce around central and timely topics in online misinformation and misbehavior, and present recent advances in research. - Topics of interest include (but are not limited to): - Empirical characterization of false information - Measuring real world and online impact - Deception in misinformation and misbehavior - Reputation manipulation - Measuring economic, ideological, and other rationale behind creation - Rationale behind spread and success - Targets or victims of misbehavior and misinformation - Effect of echo chambers, personalization, confirmation bias, and other socio-psychological and technological phenomenon - Detection methods using graphs, text, behavior, image, video, and audio analysis - Adversarial analysis of misbehavior and misinformation - Prevention and mitigation techniques, tools, and countermeasures - Theoretical and/or empirical modeling of spread - Visualizing spread - Anonymity, security, and privacy aspects of data collection - Usable security in misbehavior detection - Ethics, privacy, transparency, fairness, and biases in current tools and techniques - Case studies Paper Submission We encourage submissions with both academic and industrial motivations, of the following types: - Novel research papers in full or short length - Demo papers - Survey papers - Comparison papers of existing methods and tools - Work-in-progress papers - Case studies - Extended abstracts - Relevant work that has been recently published (must select to opt out from publication in companion proceedings of the workshop) - Work that will be presented at the main conference of KDD 2021 (the submission should mention that your paper has been accepted at the conference) - We explicitly encourage the submission of preliminary work in the form of extended abstracts (2 pages). All submissions will be peer-reviewed by at least 2 reviewers, and all accepted manuscripts will be presented (virtually) at the workshop. Additionally, accepted papers will be published in the companion proceedings of the KDD conference and ACM digital library, unless the authors choose to opt out from publication. Format Papers must be submitted in PDF according to the new ACM format published in ACM guidelines <http://www.acm.org/publications/proceedings-template>, selecting the generic "sigconf" sample, with a font size no smaller than 9pt. Submissions should be 2 to 8 pages long. No need to anonymize your submission. Submission Link Papers should be submitted via the CMT: https://cmt3.research.microsoft.com/KDDMIS2021 Important Dates - Workshop Paper Submission: June 1st, 2021 - Workshop Paper Notification: June 10th, 2021 - Camera ready deadline: July 1st, 2021 - Workshop date: August 14-18, 2021 Organizers Srijan Kumar, Georgia Institute of Technology Aude Hofleitner, Facebook Meng Jiang, University of Notre Dame Neil Shah, Snap Kai Shu, Illinois Institute of Technology ContactPlease direct all questions to kdd_mis2(a)googlegroups.com

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CFP: Resilience@Euro-Par 2021 - Papers due May 7
by Thomas Naughton 20 Apr '21

20 Apr '21

We apologize if you receive multiple copies of this call for papers. -------------------------------------------------------------------------------- 14th Workshop on Resiliency in High Performance Computing (Resilience) in Clusters, Clouds, and Grids <https://www.csm.ornl.gov/srt/conferences/Resilience/2021> in conjunction with the 27th International European Conference on Parallel and Distributed Computing (Euro-Par), Lisbon, Portugal August 30 - September 3, 2021 <http://2021.euro-par.org> Overview: Resilience is a critical challenge as high performance computing (HPC) systems continue to increase component counts, individual component reliability decreases (such as due to shrinking process technology and near-threshold voltage (NTV) operation), hardware complexity increases (such as due to heterogeneous computing) and software complexity increases (such as due to complex data- and workflows, real-time requirements and integration of artificial intelligence (AI) technologies with traditional applications). Correctness and execution efficiency, in spite of faults, errors, and failures, is essential to ensure the success of the HPC systems, cluster computing environments, Grid computing infrastructures, and Cloud computing services. The impact of faults, errors, and failures in such HPC systems can range from financial losses due to system downtime (sometimes several tens-of-thousands of Dollars per lost system-hour), to financial losses due to unnecessary overprovision (acquisition and operating costs), to financial losses and legal liabilities due to erroneous or delayed output. The emergence of AI technology opens up new possibilities, but also new problems. Using AI technology for operational intelligence that enables resilience in HPC systems and centers is a complex control problem, while designing resilient AI technology for HPC applications is a difficult algorithmic problem. Resilience for HPC systems encompasses a wide spectrum of fundamental and applied research and development, including theoretical foundations, error/failure and anomaly detection, monitoring and control, end-to-end data integrity, enabling infrastructure, and resilient algorithms. This workshop brings together experts in the community to further research and development in HPC resilience and to facilitate exchanges across the computational paradigms of extreme-scale HPC, cluster computing, Grid computing, and Cloud computing. Submission Guidelines: Authors are invited to submit papers electronically in English in PDF format. Submitted manuscripts should be structured as technical papers and BETWEEN 10 AND 12 PAGES, including figures, tables and references, using Springer's Lecture Notes in Computer Science (LNCS) format at <http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0>. Papers with less than 10 or more than 12 pages will not be accepted due to publisher guidelines. Submissions should include abstract, key words and the e-mail address of the corresponding author. Papers not conforming to these guidelines may be returned without review. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and interest and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date or not appropriately structured may also not be considered. The proceedings will be published in Springer's LNCS as post-conference proceedings. At least one author of an accepted paper must register for and attend the workshop for inclusion in the proceedings. Authors may contact the workshop program chairs for more information. Important websites: - Resilience 2021 Website: <https://www.csm.ornl.gov/srt/conferences/Resilience/2021> - Resilience 2021 Submissions: TBD - Euro-Par 2021 website: <http://2021.euro-par.org> Topics of interest include, but are not limited to: - Theoretical foundations for resilience: - Metrics and measurement - Statistics and optimization - Simulation and emulation - Formal methods - Efficiency modeling and uncertainty quantification - Experience reports - Error/failure/anomaly detection and reliability/dependability modeling: - Statistical analyses - Machine learning and artificial intelligence - Digital twins - Data collection and aggregation - Information visualization - Monitoring and control for resilience: - Center, system and application monitoring and control - Reliability, availability, serviceability and performability - Tunable fidelity and quality of service - Automated response and recovery - Operational intelligence to enable resilience - End-to-end integrity: - Fault tolerant design of centers, systems and applications - Forward migration and verification - Degraded operation - Error propagation, failure cascades, and error/failure containment - Testing and evaluation, including fault/error/failure injection - Enabling infrastructure for resilience: - Reliability, availability, serviceability systems - System software and middleware - Resilience extensions for programming models - Tools and frameworks - Support for resilience in heterogeneous architectures - Resilient algorithms: - Algorithmic detection and correction - Resilient solvers and algorithm-based fault tolerance - Fault tolerant numerical methods - Robust iterative algorithms - Resilient artificial intelligence Important Dates: - Workshop papers due: May 7, 2021 (23:59 AoE) - Workshop author notification: June 30, 2021 - Workshop author registration: TBD - Workshop paper (for informal workshop proceedings, due in EasyChair): July 14, 2021 - Workshop date: August 30 or 31, 2021 - Workshop camera-ready papers: September 10, 2021 General Co-Chairs: - Stephen L. Scott Tennessee Tech University, USA scottsl(a)ornl.gov - Christian Engelmann Oak Ridge National Laboratory , USA engelmannc(a)ornl.gov Program Co-Chairs: - Ferrol Aderholdt Middle Tennessee State University, USA ferrol.aderholdt(a)mtsu.edu - Thomas Naughton Oak Ridge National Laboratory , USA naughtont(a)ornl.gov Workshop Chair Emeritus: - Chokchai (Box) Leangsuksun Louisiana Tech University, USA box(a)latech.edu Program Committee: - Wesley Bland, Intel Corporation, USA - Hans-Joachim Bungartz, Technical University of Munich, Germany - Marc Casas, Barcelona Supercomputer Center, Spain - Zizhong Chen, University of California at Riverside, USA - James Elliott, Sandia National Laboratories, USA - Kurt Ferreira, Sandia National Laboratories, USA - Saurabh Hukerikar, NVIDIA, USA - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Scott Levy, Sandia National Laboratories, USA - Rolf Riesen, Intel Corporation, USA - Yves Robert, ENS Lyon, France - Thomas Ropars, Universite Grenoble Alpes, France - Martin Schulz, Technical University of Munich, Germany - Keita Teranishi, Sandia National Laboratories, USA _________________________________________________________________________ Thomas Naughton naughtont(a)ornl.gov Research Associate (865) 576-4184

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Invitation to attend the “European Vision for AI” e-event, Thursday 22 April 2021, 11:00-13:00 CEST
by Ioanna Koroni 19 Apr '21

19 Apr '21

European Researchers organize the “European Vision for AI” e-event for the General Public about the Present and Future of Artificial Intelligence in Europe, Thursday 22 April 2021, 11:00-13:00 CEST The European scientific community will share with the general public their actions towards moving European Artificial Intelligence (AI) forward, to future success in a growing competition environment with countries such as the US or China, in the “European Vision for AI'' event. The online discussions are scheduled for Thursday 22 April 2021, 11:00-13:00 CEST and organized by the <https://www.vision4ai.eu/> VISION project partners in cooperation with four networks of AI centers of excellence (AI4Media <https://www.ai4media.eu/> , ELISE <https://www.elise-ai.eu/> , TAILOR <https://tailor-network.eu/> , Humane-AI-Net <https://www.humane-ai.eu/> ). These networks were launched within the European Union’s Horizon 2020 Program in September 2020 and are bringing together scientists across Europe. In the event, European citizens with an interest in AI will gain an overview of Europe's position in the field of AI and how this impacts Europe's economy and society. The "European approach to AI" that is currently being promoted brings together excellence and trust, with the goal of creating a world-leading ecosystem committed to the "AI for Good" and "AI for All" concepts. Since this event is coordinated with, and closely linked to, the official announcement on new regulations and further investment in AI, scheduled by the European Commission in this week, the event will represent one of the first opportunities for public discussion on these new plans at the European level. Ms Dita Charanzová, Vice-President of the European Parliament, and Ms Lucilla Sioli, Director for Digital Industry within Directorate-General CONNECT at the European Commission, stand out prominently among the speakers together with other high-level experts and stakeholders. Prof. Holger Hoos (Leiden University, Netherlands), coordinator of the VISION Project sees this event as a step towards closer communication of the European AI community with the general public: “We aim to get young people, researchers, innovators, companies, and policy makers, at least virtually, around one table and discuss ambitious European plans for AI as well as the emerging ecosystem of AI excellence.” Prof. Ioannis Pitas (Aristotle University of Thessaloniki, Greece), Coordinator of the International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ) and event panelist on ‘Skills & Training’ believes that: “AI education should be anthropocentric and tuned to form true thinkers and Knowledge Society citizens. A major education overhaul is needed, combining scientific basis and classical studies, to support AI excellence for an European AI brand.” Starting at 11am CEST, the event will be fully online, streamed at <http://event.vision4ai.eu> event.vision4ai.eu for free and with no prior registration. The program will be conducted in English. The public will be able to enter discussions via chat. Participants will also get the opportunity to choose from three parallel sessions focusing on society, industry and skills & training, depending on their particular interests. About the organizers This event is organized by the consortium of partners of the project VISION (www.vision4ai.eu <http://www.vision4ai.eu> ), the coordination and support action (CSA) awarded under the <https://cordis.europa.eu/programme/id/H2020_ICT-48-2020> H2020-ICT-48-2020 call. The aim of VISION is to reinforce, interconnect and mobilize Europe’s AI community. Europe has been investing in the European model of AI, with a new set of four <https://www.vision4ai.eu/community/> European networks of AI excellence centres. Launched in September 2020, these four networks of excellence centers - AI4Media, ELISE, HumanE-AI-Net and TAILOR - are now working on various aspects of trustworthy, human-centric AI. In parallel to these efforts, the VISION project aims to create connections, synergy and joint initiatives between these networks as well as with key stakeholders across Europe. These projects are key components in the European Commission's AI strategy. Prof. Holger Hoos (Leiden University, Netherlands), coordinator of the VISION Project Prof. Ioannis Pitas (Aristotle University of Thessaloniki, Greece), Coordinator of the International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ) -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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European Vision for AI 2021 - 22 April 2021 - 11am-1pm
by Ioanna Koroni 19 Apr '21

19 Apr '21

European Researchers organize the "European Vision for AI" event for the General Public about the Present and Future of Artificial Intelligence in Europe The European scientific community will share with the general public their actions towards moving European Artificial Intelligence (AI) forward, to future success in a growing competition environment with countries such as the US or China, in the "European Vision for AI'' event. The online discussions are scheduled for Thursday 22 April 2021 and organized by the <https://www.vision4ai.eu/> VISION project partners in cooperation with four networks of AI centres of excellence (AI4Media <https://www.ai4media.eu/> , ELISE <https://www.elise-ai.eu/> , TAILOR <https://tailor-network.eu/> , Humane-AI-Net <https://www.humane-ai.eu/> ). These networks were launched within the European Union's Horizon 2020 Program in September 2020 and are bringing together scientists across Europe. In the event, European citizens with an interest in AI will gain an overview of Europe's position in the field of AI and how this impacts Europe's economy and society. The "European approach to AI" that is currently being promoted brings together excellence and trust, with the goal of creating a world-leading ecosystem committed to the "AI for Good" and "AI for All" concepts. Since this event is coordinated with, and closely linked to, the official announcement on new regulations and further investment in AI, scheduled by the European Commission in this week, the event will represent one of the first opportunities for public discussion on these new plans at the European level. Prof. Holger Hoos (Leiden University, Netherlands), coordinator of the VISION Project sees this event as a step towards closer communication of the European AI community with the general public: "We aim to get young people, researchers, innovators, companies, and policy makers, at least virtually, around one table and discuss ambitious European plans for AI as well as the emerging ecosystem of AI excellence." Prof. Ioannis Pitas (Aristotle University of Thessaloniki, Greece), Coordinator of the International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ) and event panelist on 'Skills & Training' believes that: "AI education should be anthropocentric and tuned to form true thinkers and Knowledge Society citizens. A major education overhaul is needed, combining scientific basis and classical studies, to support AI excellence for an European AI brand." Starting at 11am, the event will be fully online, streamed at <http://event.vision4ai.eu> event.vision4ai.eu for free and with no prior registration. The program will be conducted in English. The public will be able to enter discussions via chat. Participants will also get the opportunity to choose from three parallel sessions focusing on society, industry and skills & training, depending on their particular interests. About organisers This event is organised by the consortium of partners of the project VISION (www.vision4ai.eu <http://www.vision4ai.eu> ), the coordination and support action (CSA) awarded under the <https://cordis.europa.eu/programme/id/H2020_ICT-48-2020> H2020-ICT-48-2020 call. The aim of VISION is to reinforce, interconnect and mobilise Europe's AI community. Europe has been investing in the European model of AI, with a new set of four <https://www.vision4ai.eu/community/> European networks of AI excellence centres. Launched in September 2020, these four networks of excellence centres - AI4Media, ELISE, HumanE-AI-Net and TAILOR - are now working on various aspects of trustworthy, human-centric AI. In parallel to these efforts, the VISION project aims to create connections, synergy and joint initiatives between these networks as well as with key stakeholders across Europe. These projects are key components in the European Commission's AI strategy. Prof. Holger Hoos (Leiden University, Netherlands), coordinator of the VISION Project Prof. Ioannis Pitas (Aristotle University of Thessaloniki, Greece), Coordinator of the International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ) and AI4Media project -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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2nd Call For Workshops - 37th International Conference on Logic Programming (ICLP 2021)
by Miguel Areias 15 Apr '21

15 Apr '21

========================================================================= CALL FOR WORKSHOPS ========================================================================= The 37th International Conference on Logic Programming (ICLP 2021) https://iclp2021.dcc.fc.up.pt/ September 20--27, 2021 Fully virtual event organized by the Department of Computer Science of the University of Porto. ========================================================================= The ICLP conference series has a long standing tradition of hosting a rich set of co-located workshops. ICLP workshops provide a unique opportunity for the presentation and discussion of work that can be preliminary in nature, novel ideas, and new open problems to a wide and interested audience. Co-located workshops also provide an opportunity for presenting specialized topics and opportunities for intensive discussions and project collaboration. The topics of the workshops co-located with ICLP 2021 can cover any areas related to logic programming (e.g., theory, implementation, environments, language issues, alternative paradigms, applications), including cross-disciplinary areas. However, any relevant workshop proposal will be considered. The format of the workshop will be decided by the workshop organizers, but ample time should be allowed for general discussion. Workshops can vary in length, but the optimal duration will be half a day or a full day. Workshop Proposals ****************** Those interested in organizing a workshop at ICLP 2021 are invited to submit a workshop proposal. Proposals should be in English and about two pages in length. They should contain: ** The title of the workshop; ** A brief technical description of the topics covered by the workshop; ** A discussion of the timeliness and relevance of the workshop; ** A list of any related workshops held in the last years; ** The estimated length of the workshop and an estimate of the number of expected attendees; ** The names, affiliation and contact details (email, web page, phone) of the workshop organizers together with a designated contact person; ** Previous experience of the workshop organizers in workshop/conference organization. Proposals are expected in text or PDF format. All proposals should be submitted to the Workshop Chair by email by May 3rd, 2021. Reviewing Process ***************** Each submitted proposal will be reviewed by the Workshop, Program and General Chairs. Proposals that appear well-organized and that fit the goals and scope of ICLP will be selected. The decision will be notified by email to the responsible organizer by May 10th, 2021. The definitive length of the workshop will be planned according to the number of submissions received by the different workshops. For every accepted workshop, the ICLP local organizers will prepare meeting facilities. The workshops and the conference organizers will collaborate in establishing a uniform approach to produce proficient and accessible proceedings for the workshops. Workshop Organizers' Tasks ************************** ** Producing a "Call for Papers" for the workshop and posting it on the Internet and other means. A web page URL should be provided by May 15th, 2021, and will be published on the ICLP 2021 home page; ** Providing a brief description of the workshop for the conference program; ** Reviewing/accepting submitted papers; ** Scheduling workshop activities in collaboration with the local organizers and the Workshop Chair; ** Providing a workshop program in a format specified by the conference organizers for posting by August 31st, 2021; ** Coordinating the preparation of the workshop proceedings according to the specifications provided by the Workshop Chair. Location ******** Workshops will be virtually collocated with ICLP 2021. See the ICLP 2021 web site (https://iclp2021.dcc.fc.up.pt/) for further details. Important Dates (Tentative) *************************** ** May 3rd, 2021: Proposal submission deadline ** May 10th, 2021: Notification ** May 15th, 2021: Deadline for receipt of CfP and workshop web page URL ** August 18th, 2020: Deadline for acceptance notification to paper authors ** August 31st, 2020: Deadline for workshop program Submissions *********** Please submit your workshop proposals by email to the Workshop Chair. Workshop Chair ************** Nicos Angelopoulos https://www.cardiff.ac.uk/people/view/2436650-angelopoulos-nicos =========================================================================

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2nd Call For Papers - 37th International Conference on Logic Programming (ICLP 2021)
by Miguel Areias 15 Apr '21

15 Apr '21

========================================================================= CALL FOR PAPERS ========================================================================= The 37th International Conference on Logic Programming (ICLP 2021) https://iclp2021.dcc.fc.up.pt/ Fully virtual event organized by the Department of Computer Science of the University of Porto. Besides the main track, ICLP 2021 will host additional tracks and special sessions. In attach, follows the CFP for the Applications Track and for the Recently Published Research Track. ========================================================================= Scope ***** Since the first conference held in Marseille in 1982, ICLP has been the premier international event for presenting research in logic programming. Contributions are sought in all areas of logic programming, including but not restricted to: ** Foundations:Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. ** Languages issues: Concurrency, Objects, Coordination, Mobility, Higher order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming techniques. ** Programming support: Program analysis, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. ** Implementation: Compilation, Virtual machines, Memory management, Parallel/distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. ** Related Paradigms and Synergies: Inductive and coinductive logic programming, Constraint logic programming, Answer set programming, Interaction with SAT, SMT and CSP solvers, Theorem proving, Argumentation, Probabilistic programming, Machine learning. ** Applications: Databases, Big data, Data integration and federation, Software engineering, Natural language processing, Web and semantic web, Agents, Artificial intelligence, Computational life sciences, Cybersecurity, Robotics, Education. Tracks and Special Sessions *************************** Besides the main track, ICLP 2021 will host additional tracks: ** Applications Track: this track invites submissions of papers on emerging and deployed applications of LP, describing all aspects of the development, deployment, and evaluation of logic programming systems to solve real-world problems, including interesting case studies and benchmarks, and discussing lessons learned. ** Recently Published Research Track: this track provides a forum to discuss important results related to logic programming that appeared recently (from January 2019 onwards) in selective journals and conferences, but have not been previously presented at ICLP. Each track will have its own dedicated chairs, PC and evaluation criteria. The attached CFPs specify the submission details. ICLP 2021 will also host: ** MentorLP - Mentoring Workshop on Logic Programming: the purpose of MentorLP is to support students and newcomers to pursue careers in logic programming research. This workshop will hold technical sessions on cutting-edge research in logic programming, and mentoring sessions on how to prepare and succeed for a research career. We will have leaders in logic programming research from academia and industry to give talks on their research areas. We will also have live discussions among participants on how to overcome challenges and make contributions to the research community. MentorLP is dedicated to fostering and supporting diversity, equity, and inclusion. We especially encourage members of underrepresented groups to attend. ** Fall School on Logic and Constraint Programming: the school is suited for those who wish to learn advanced topics in logic programming and constraint programming. It will consist of a series of half-day tutorials. ** Doctoral Consortium: the Doctoral Consortium (DC) on Logic Programming provides students with the opportunity to present and discuss their research directions, and to obtain feedback from both peers and experts in the field. The best paper from the DC will be given the opportunity to make a presentation in a session of the main ICLP conference. ** Tutorials and Co-located Workshops. Important Dates *************** ** Abstract registration (regular papers): May 3, 2021 ** Paper submission (regular paper): May 10, 2021 ** Notification to authors (regular paper): June 27, 2021 ** Paper Submission (short papers): July 4, 2021 *+ Revision submission (TPLP papers): July 14, 2021 ** Final notifications (all paper kinds): July 30, 2021 ** Camera-ready copy due (all paper kinds): August 10, 2021 ** Conference: September 20--27, 2021 Submission Details ****************** Expected submissions to the main track (for the additional tracks, please follow the specific CFP): ** Regular papers (14 pages in TPLP format, including references) must describe original, previously unpublished research, and must not simultaneously be submitted for publication elsewhere. These restrictions do not apply to previously accepted workshop papers with a limited audience and/or without archival proceedings. The accepted regular papers will be published in TPLP, along with the selected ICLP-TPLP papers. The program committee may recommend some regular papers to be published as technical communications (TCs), along with the selected ICLP-TC papers. The authors of the TCs can also elect to convert their submissions into extended abstracts (2 or 3 pages) for inclusion in the proceedings. This should allow authors to submit a long version elsewhere. ** Short papers (7 pages in EPTCS format (http://info.eptcs.org/) including references) can describe published research. The accepted short papers that describe original and previously unpublished work will be published as TCs, along with the selected ICLP-TC papers. The accepted short papers that describe published research will be made available at the conference webpage, with the permission of the authors. All accepted regular papers and technical communications will be presented during the conference. Authors of accepted papers will, by default, be automatically included in the list of ALP members, who will receive quarterly updates from the Logic Programming Newsletter at no cost. All submissions must be written in English. Submissions will be done via EasyChair. The submission Web page for ICLP2021 is https://easychair.org/conferences/?conf=iclp2021 Organization ************ ** General Chair Ricardo Rocha, University of Porto, Portugal ** Program Chairs Andrea Formisano, University of Udine, Italy Y. Annie Liu, Stony Brook University, USA ** Organizing and Publicity Chair Miguel Areias, University of Porto, Portugal ** Applications Track Alex Brik, Google Inc., USA Joost Vennekens, KU Leuven, Belgium ** Recently Published Research Track Gian Luca Pozzato, University of Genova, Italy Neng-Fa Zhou, CUNY Brooklyn College and Graduate Center, USA ** MentorLP - Mentoring Workshop on Logic Programming Veronica Dahl, Simon Fraser University, Canada Paul Fodor, Stony Brook University, USA ** Workshop Chair Nicos Angelopoulos, Cardiff University, UK ** Doctoral Consortium and Fall School Chairs Bart Bogaerts, Vrije Universiteit Brussel, Belgium Carmine Dodaro, University of Calabria, Italy ** Programming Contest Chair Mario Alviano, University of Calabria, Italy Program Committee ***************** Agostino Dovier, University of Udine, Italy Alicia Villanueva, Universitat Politècnica de València, Spain Allen van Gelder, University of California Santa Cruz, USA Antonius Weinzierl, Vienna University of Technology, Austria Carlos Olarte, Universidade Federal do Rio Grande do Norte, Brazil Chiaki Sakama, Wakayama University, Japan Ekaterina Komendantskaya, Heriot-Watt University, UK Enrico Pontelli, New Mexico State University, USA Esra Erdem, Sabanci University, Turkey Fangzhen Lin, Hong Kong University of Science and Technology Francesca Alessandra Lisi, University of Bari, Italy Francesco Ricca, University of Calabria, Italy German Vidal, Universitat Politècnica de València, Spain Giovambattista Ianni, University of Calabria, Italy Gopal Gupta, University of Texas, USA Inês Dutra, University of Porto, Portugal Jan Wielemaker, VU University of Amsterdam, Netherlands Jia-Huai You, University of Alberta, Canada Jorge Lobo, Pompeu Fabra University, Barcelona, Spain Jose F. Morales, IMDEA Software Institute, Spain Katsumi Inoue, National Institute of Informatics, Japan Konstantin Schekotihin, Alpen-Adria-Universität Klagenfurt, Austria Laura Giordano, Università del Piemonte Orientale, Italy Magdalena Ortiz, Vienna University of Technology, Austria Manuel Carro, Technical University of Madrid and IMDEA, Spain Manuel Hermenegildo, IMDEA and Universidad Politécnica de Madrid, Spain Manuel Ojeda-Aciego, University of Malaga, Spain Marcello Balduccini, Saint Joseph's University, USA Marco Gavanelli, University of Ferrara, Italy Marina De Vos, University of Bath, UK Mario Alviano, University of Calabria, Italy Martin Gebser, Alpen-Adria-Universität Klagenfurt, Austria Mauricio Osorio, Universidad de las Americas Puebla, Mexico Michael Gelfond, Texas Tech University, USA Michael Hanus, CAU Kiel, Germany Michael Kifer, Stony Brook University, USA Michael Leuschel, University of Dusseldorf, Germany Michael Thielscher, The University of New South Wales, Australia Mirek Truszczynski, University of Kentucky, USA Nicola Leone, University of Calabria, Italy Ondřej Lhoták, University of Waterloo, Canada Orkunt Sabuncu, TED University, Turkey Paul Tarau, University of North Texas, USA Pedro Cabalar,University of Corunna, Spain Roland Yap, National University of Singapore, Republic of Singapore Roman Barták, Charles University, Czech Republic Salvador Abreu, Universidade de Évora, Portugal Sarah Alice Gaggl, Technische Universität Dresden, Germany Stefan Woltran, Vienna University of Technology, Austria Stefania Costantini, University of L'Aquila, Italy Theresa Swift, Universidade Nova de Lisboa, Portugal Thomas Eiter, Vienna University of Technology, Austria Thomas Meyer, University of Cape Town, South Africa Toby Walsh, University of New South Wales, Australia Tom Schrijvers, KU Leuven, Belgium Tomi Janhunen, Tampere University, Finland Torsten Schaub, University of Potsdam, Germany Tran Cao Son, New Mexico State University, USA Tuncay Tekle, Stony Brook University, USA Vitor Santos Costa, University of Porto, Portugal Viviana Mascardi, University of Genova, Italy Vladimir Lifschitz, University of Texas, USA Wolfgang Faber, Alpen-Adria-Universität Klagenfurt, Austria ========================================================================= Any additional question can be directed towards ICLP Chairs: iclp2021(a)easychair.org =========================================================================

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Live e-Lecture by Prof. Nicu Sebe: “Image and Video Generation: A deep Learning Approach”', 20th April 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures
by Ioanna Koroni 15 Apr '21

15 Apr '21

Dear AI scientist/engineer/student/enthusiast, Prof. Nicu Sebe (University of Trento, Italy), a prominent AI researcher internationally, will deliver the e-lecture: ‘Image and Video Generation: A deep Learning Approach’, on Tuesday 20th April 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: <http://www.i-aida.org/ai-lectures/> http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/99459774837 & Passcode: 649253 The <http://www.i-aida.org/> International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects <https://ai4media.eu/> AI4Media, ELISE <https://www.elise-ai.eu/> , Humane AI Net <https://www.humane-ai.eu/> , TAILOR <https://tailor-network.eu/> , VISION <https://www.vision4ai.eu/> , currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Anibal Ollero (University of Seville, Spain), 4th May 2021 17:00 – 18:00 CET. 2. Prof. John Shawe-Taylor (University College London, UK), 18th May 2021 17:00 – 18:00 CET. More lecture infos in: <http://www.i-aida.org/future-lectures/> http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists AIDA email list <https://lists.auth.gr/sympa/info/aida> and <https://lists.auth.gr/sympa/info/cvml> CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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Final Call: CFP: FiCloud 2021
by FiCloud Conference 12 Apr '21

12 Apr '21

---------------------Call for Papers - Final Call ------------------------------ The 8th International Conference on Future Internet of Things and Cloud (FiCloud 2021) IEEE-CS TCI 23-25 August 2021, Online (Virtual) http://www.ficloud.org/2021/ ------------------------------------------------------------ Cloud is a modern computing platform for delivering on-demand computing services to service consumers over the Internet. Computing services include, for example, storage, memory, compute power, databases, and networking among others. Cloud services are generally provided using SaaS (Software-as-a-Service), PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as-a-Service). Unlike conventional distributed computing, cloud offers flexibility, scalability, efficiency and elasticity in service provisioning. The Internet of Things (IoT) provides a dynamic and global network infrastructure which is characterized by intelligent and self configuring capabilities. IoT is considered as an integral part of the future Internet. It is based on interoperable communication protocols in order to enable the interaction and integration of virtual as well as physical Things such as computers, smart devices, sensors, cars, refrigerators, food packages, medicines, etc. Things can be seamlessly integrated into the information network and interaction can be made through the provision of intelligent interfaces. In not so distant future, IoT will be forcing its way into every aspect of our lives and technologies including smart homes, smart cities, environment and nature, green energy, food, medicine, automotive, aerospace and aviation, telecommunication, and so on. IoT is generally characterized by real world and small Things, limited capacity, constrained devices and the consequential issues such as less reliability, security and privacy. Cloud computing on the other hand deals mainly with virtual world and has unlimited capabilities in terms of storage and processing power. Thus cloud and IoT are the main complementary aspects of the future Internet. IoT can benefit from the unlimited capabilities and resources of cloud computing. Similarly, cloud can benefit from IoT by extending its scope to deal with real world things in a more distributed and dynamic manner. The theme of this conference is to promote the state of the art in scientific and practical research of the IoT and cloud computing. It provides a forum for bringing together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas in the area of IoT and cloud computing. CONFERENCE TRACKS: 1. Cloud Services Models 2. Security, Privacy and Trust 3. Software Systems, Models and Architectures 4. Blockchain in Cloud and IoT 5. Data and Knowledge Management 6. Context-aware Systems 7. Software-defined Networking 8. Performance Evaluation and Modelling 9. Networking and Communication Protocols 10. IoT Services and Applications 11. Smart Environment 12. Machine learning in Cloud and IoT 13. Energy Efficiency 14. Federation and Virtualization 15. Fog and Edge Computing 16. Industry Track 17. General Track – Future IoT and Cloud Computing Important Dates: Submission Deadline: 15 April 2021 (Firm) Authors Notification: 20 May 2021 Final Manuscript Due: 15 June 2021 Conference Venue: The organizing committee is carefully monitoring the Covid-19 situation. The safety and well-being of the conference participants is the main priority. The committee will confirm by Spring 2021 of whether to hold the conference onsite in Rome or as an online event. Paper submission and Publication: Authors are requested to submit papers reporting original research results and experience. The page limit for full papers is 8 pages and for short papers is 6 pages. Papers should be prepared using IEEE two-column template. See instructions on the conference website ( http://www.ficloud.org/2020/) All papers accepted for this conference are planned to be published in the conference proceedings by the IEEE Computer Society Conference Publishing Service (CPS). The proceedings will be submitted to the IEEE-Xplore and the IEEE Computer Society (CSDL) digital libraries. The proceedings are also submitted for indexing through IEE INSPEC, EI (Compendex), Thomson ISI, and other indexing services. Authors of selected papers will be invited to submit extended versions of their papers for special issues in international journals (see conference website).

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Phd and Postdoc positions (France)
by El-ghazali Talbi 12 Apr '21

12 Apr '21

The BONUS (Big Optimization and Ultra-scale Optimization -https://sites.google.com/view/bonus-research-group/) research group has three PhD and one post-doctoral proposals. The detailed decsriptions can be found following the Web links given below. - PhD Position F/M [Industrial collaboration] Multi-objective automated design of deep neural networks Details in pdf file enclosed - PhD Position F/M [Campagne doctorant 2021 - CRI Lille] Quantum-assisted optimization https://jobs.inria.fr/public/classic/fr/offres/2021-03448 - PhD Position F/M [Université de Lille - Université du Luxembourg] Productivity-aware parallel cooperative combinatorial optimization for ultra-scale supercomputers https://www.cristal.univ-lille.fr/sujets-these/details.html?id=50e6963dbe06… - Post-Doctoral Research Visit F/M [Campagne Post-doctorant 2021 - CRI Lille] Parallel surrogate-assisted optimization for automatic hyper-parameter and neural architecture search in Deep Learning (M/F) https://jobs.inria.fr/public/classic/fr/offres/2021-03418 Best regards, -- ********************************************************************** META'2021 International Conference on Metaheuristics and Nature Inspired Computing 27-30 Oct 2021, Marrakech, Morocco http://meta2021.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS guide2research.com -- L'absence de virus dans ce courrier électronique a été vérifiée par le logiciel antivirus Avast. https://www.avast.com/antivirus

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Invitation to join 2021 Spring School 'CVML Short Course - Machine Learning and Deep Neural Networks', 27-28th April 2021 (6th edition)
by Ioanna Koroni 12 Apr '21

12 Apr '21

Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in this CVML Short e-course on 'Machine Learning and Deep Neural Networks', 27-28th April 2021: https://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-dee p-neural-networks/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform. They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming exercises to improve your programming skills. It is part of the very successful CVML short course series that took place in the last three years. Course description 'Machine Learning and Deep Neural Networks' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (8 hours) provide an in-depth presentation of Deep Neural Networks, which are at the forefront of AI advances today, starting with introduction to Machine Learning. Then the cornerstone DNN theory and technologies are presented: a) Artificial Neural Networks, Perceptron; b) Multilayer perceptron, Backpropagation; c) Deep neural networks. Both data classification and regression problems are treated. Convolutional NNs; d) Recurrent Neural Networks; e) Attention and Transformers. Applications follow in several image analysis, computer vision and autonomous system applications, notably: a) Deep learning for object detection and b) Deep Semantic Image Segmentation. Finally, Generative Adversarial Networks are presented that promise to revolutionize the way we create media/arts, while seriously threatening our democracy with fake data creation and spread. Part B lectures (8 hours) provide fan in-depth presentation of Machine Learning to complement DNNs. Unsupervised Learning (Data Clustering) is first detailed, allowing us to find structure and extract concepts/knowledge from huge high-dimensionality data. Then Supervised Learning (Data Classification) techniques are presented, notably: a) Decision surfaces (whose special case is DNNs and SVMs) and b) Distance based classification. Dimensionality reduction techniques are overviewed, allowing us to visualize high-dimensionality data found in most applications, ranging from Medicine to Financial Engineering. Kernel methods are presented that can boost performance of any linear ML operation (e.g., PCA, K-means etc). Bayesian learning provides a unified theoretical framework that can encompass many of the ML approaches. Deep Reinforcement Learning is also presented, as it is an essential element in novel Robotics/Control and other decision-making application domains. Finally, CVML programming tools (e.g., DNN frameworks, BLAS/cuBLAS, DNN and CV libraries) are overviewed, as they allow fast application of all the above knowledge in almost any application domain. Course lectures Part A: Deep Neural networks (first day, 8 lectures) 1. Introduction to Machine Learning 2. Artificial Neural Networks, Perceptron 3. Multilayer perceptron. Backpropagation 4. Deep neural networks. Convolutional NNs 5. Recurrent Neural Networks. LSTMs 6. Attention and Transformers 7. Deep learning for object detection 8. Deep Semantic Image Segmentation Part B: Machine Learning. Pattern Recognition (second day, 8 lectures) 1. Generative Adversarial Networks 2. Data Clustering 3. Decision Surfaces. Support Vector Machines 4. Dimensionality Reduction 5. Kernel Methods 6. Bayesian Learning 7. Deep Reinforcement Learning 8. CVML Software Development Tools Though independent, the attendees of this short e-course will greatly benefit by attending the CVML Short e-course on 'Computer Vision for Autonomous Systems' 5-6th May 2021: http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-auton omous-systems/ You can use the following link for course registration: http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-deep -neural-networks/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires and programming exercises can be found therein. For questions, please contact: Ioanna Koroni <koroniioanna(a)csd.auth.gr <mailto:koroniioanna@csd.auth.gr> > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow, Chair of the IEEE SPS Autonomous Systems Initiative, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece, Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 5) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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IEEE HiPC 2021 Programming Contest Call For Participation
by sanmukh＠hipc.org 04 Apr '21

04 Apr '21

********************************************************************** We apologize if you received multiple copies of this Call for Papers Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2021 PROGRAMMING CONTEST CALL FOR PARTICIPATION ********************************************************************** 28th IEEE International Conference on High Performance Computing, Data, and Analytics 17–20 December 2021 in Bangalore, India https://hipc.org/ HiPC 2021 PROGRAMMING CONTEST https://hipc.org/programming/ The objective of the HiPC Programming Contest is to introduce bright and motivated students to industry-relevant problems in the area of high performance computing. This engagement will act as a bridge between industry and academia to forge active engagement between the two. CPU Track Nagendra GD, University of North Texas Amey Karkare, Indian Institute of Technology Kanpur Anuj Pathania, University of Amsterdam Biswabandan Panda, Indian Institute of Technology Kanpur GPU Track Vishwesh Jatala, Indian Institute of Technology Bhilai Jayvant Anantpur, Mentor Graphics, USA FPGA Track Madhura Purnaprajna, PES University, Bangalore Vipin Kizheppatt, BITS Pilani, Goa Nithin George, Intel Corporation Nachiket Kapre, University of Waterloo Tentative Timeline Registration open: August 2nd week Challenge problem release, Mentor forum open: August 4th week Online Training Session: September 2nd week Team given access to cluster for self evaluation: October 1st week Final Submission Deadline: Oct 4th week Final Notifications: Nov 2nd week Please contact contest(a)hipc.org for questions or clarifications.

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IEEE HiPC 2021 Call For Papers
by sanmukh＠hipc.org 04 Apr '21

04 Apr '21

********************************************************************** We apologize if you received multiple copies of this Call for Papers Please feel free to distribute it to those who might be interested ********************************************************************** HiPC 2021 CALL FOR PAPERS ********************************************************************** 28th IEEE International Conference on High Performance Computing, Data, and Analytics 17–20 December 2021 in Bangalore, India https://hipc.org/ PROGRAM CHAIRS HPC: Ana Lucia Varbanescu, University of Amsterdam, The Netherlands (a.l.varbanescu(a)uva.nl) Data Science: Yogesh Simmhan, Indian Institute of Science, India (simmhan(a)iisc.ac.in) HPC TRACKS Algorithms: Sanjukta Bhowmick, University of North Texas, USA Applications: Abhinav Bhatele, University of Maryland, USA Architecture: Michela Becchi, North Carolina State University, USA System Software: Sathish Vadhiyar, Indian Institute of Science, India DATA SCIENCE TRACKS Scalable Algorithms and Analytics: Zeyi Wen, University of Western Australia, Australia Scalable Systems and Software: Min Si, Argonne National Laboratory, USA HiPC 2021 will be the 28th edition of the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science. HiPC serves as a forum to present current work by researchers from around the world as well as highlight activities in Asia in the areas of high performance computing and data science. The meeting focuses on all aspects of high performance computing systems, and data science and analytics, and their scientific, engineering, and commercial applications. Authors are invited to submit original unpublished research manuscripts that demonstrate current research in all areas of high performance computing, and data science and analytics, covering all traditional areas and emerging topics including from machine learning, big data analytics and blockchain. Each submission should be submitted to one of the six tracks listed under the two broad themes of High Performance Computing and Data Science. Up to two best paper awards will be given for outstanding contributed papers. HIGH PERFORMANCE COMPUTING Algorithms. This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Advances in enhancing algorithmic properties or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); * Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management); * Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); * Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models). Architecture. This track invites papers that describe original research on the design and evaluation of high performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): * High performance processing architectures (e.g., reconfigurable, system-on-chip, many cores, vector processors); * Networks for high performance computing platforms (e.g., interconnect topologies, network-on-chip); * Memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); * Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); * Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications. This track invites papers that describe original research on the design and implementation of scalable and high performance applications for execution on parallel, distributed and accelerated platforms, and related advances. Examples of topics of interest include (but not limited to): * Shared and distributed memory parallel applications (e.g., scientific computing, simulation and visualization applications, graph and irregular applications, data-intensive applications, science/engineering/industry applications, emerging applications in IoT and life sciences, etc.); * Methods, algorithms, and optimizations for scaling applications on peta- and exa-scale platforms (e.g., co-design of hardware and software, heterogeneous and hybrid programming); * Hardware acceleration of parallel applications (e.g., GPUs, FPGA, vector processors, manycore); * Application benchmarks and workloads for parallel and distributed platforms. Systems Software. This track invites papers that describe original research on the design, implementation, and evaluation of systems software for high performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): * Scalable systems and software architectures for high-performance computing (e.g., middleware, operating systems, I/O services); * Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); * Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); * Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; * Software for cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); * Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms). SCALABLE DATA SCIENCE Scalable Algorithms and Analytics. This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): * New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery); * Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); * Scalable algorithms and techniques to reduce the complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); * Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); * Scalable algorithms that ensure the transparency and fairness of the analysis; * Case studies, experimental studies, and benchmarks for scalable algorithms and analytics; * Scaling and accelerating machine learning, deep learning, and computer vision applications. Scalable Systems and Software. This track invites papers that describe original research on developing scalable systems and software for handling data at scale and related advances. Examples of topics of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications) * Scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs). * Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); * Systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); * Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy-preserving, and secure schemes). IMPORTANT DATES Abstract Submission Deadline: 4 June, 2021 Paper Submission Deadline: 11 June, 2021 Notification of Initial Decisions: 27 August, 2021 Deadline for Revised Submission: 17 September, 2021 Notification of Final Decisions: 1 October, 2021 Camera Ready Due (for all accepted papers): 15 October, 2021 MANUSCRIPT AND SUBMISSION GUIDELINES Abstracts of no more than 300 words must be submitted by the abstract submission deadline. The title and abstract submitted by this deadline should have sufficient detail and not just be a placeholder. Submitted manuscripts should be structured as technical papers and may not exceed ten (10) single-spaced double-column pages using 10-point size font on 8.5×11 inch pages (IEEE conference style), including figures, tables, and references. The submitted paper should list the authors and their affiliations. The IEEE conference style templates for MS Word and LaTeX provided by IEEE eXpress Conference Publishing are available for download. See the latest versions here. Electronic submissions must be in the form of a readable PDF file. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Papers must be submitted under one of the 6 technical tracks listed above. The topics listed under each track are representative, but not exhaustive. A published proceeding will be available at the conference. Authors may contact the Program Chair at the email address above for further information or clarification. At least one author of each paper must be registered for the conference in order for the paper to be published in the proceedings. Presentation of an accepted paper in person is a requirement of publication for a physical conference. Depending on how the COVID-19 pandemic situation evolves, the presentation may be in person or in a virtual format. Details of these will be specified at the time of paper acceptance. Any paper not meeting requirements will not be included in the conference proceedings under IEEE Xplore. Authors of selected high-quality papers in HiPC 2021 will be invited to submit extended versions of their papers for possible publication in a special issue of the Journal of Parallel and Distributed Computing. Submit your paper: https://easychair.org/conferences/?conf=hipc2021. REVIEW PROCESS All manuscripts will be reviewed by the Program Committee and evaluated on originality, relevance of the problem to the conference theme, technical strength, rigor in analysis, quality of results, and organization and clarity of presentation of the paper. Authors are highly encouraged to list the key contributions of their paper, for example in a separate paragraph in the introduction of the paper. The review process is “single-blind” (i.e., authors can list their names on the paper), and that there will be a rebuttal period. The initial decision for the submission may be Accept, Reject or Revise. Papers that are recommended for revision will have to address the comments from the reviewers, and submit a revised article along with a summary of changes. This will go through a light review and the final decision will be communicated.

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