computational.science

computational.science@lists.iccsa.org

3 participants
1981 discussions

[Deadline Extended: May 1] - CFPs - Brain Informatics 2017
by Yang 10 Apr '17

10 Apr '17

[Apologies if you receive this more than once] CALL FOR PAPERS The 2017 International Conference on Brain Informatics (BI'17) THE 10TH ANNIVERSARY OF BRAIN INFORMATICS November 16-18, 2017, Beijing, China Homepage: http://bii.ia.ac.cn/bi-2017/ ------------------------------------------------------------------------ [EXTENDED!!] FULL PAPER SUBMISSION DEADLINE: May 1, 2017 ------------------------------------------------------------------------ *** KEYNOTE SPEAKERS *** Alan Evans (McGill University, Canada) Tom Mitchell (Carnegie Mellon University, US) Yanchao Bi (Beijing Normal University, China) Adam Ferguson (University of California San Francisco, US) Bin Hu (Lanzhou University, China) Michael Hawrylycz (Allen Institute for Brain Science, US) Dinggang Shen (University of North Carolina at Chapel Hill, US) ================================================== Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing IMPORTANT DATES (Extended): =========================== May 1, 2017: Submission deadline for full papers May 20, 2017: Submission deadline for workshop/special-session papers June 10, 2017: Notification of full paper acceptance June 20, 2017: Notification of workshop/special-session paper acceptance June 20, 2017: Submission deadline for abstracts July 10, 2017: Notification of abstract acceptance November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference PAPER SUBMISSIONS & PUBLICATIONS: ================================= TYPE-I (Full Paper Submissions; Submission Deadline: May 1, 2017): Papers need to have up to 10 pages in LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 All full length papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. TYPE-II (Abstract Submissions; Submission Deadline: June 20, 2017): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference." The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted papers from the conference, including their Best Paper Award papers, will be expended and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. *** Awards *** Best Paper awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best student paper. ORGANIZERS ========== General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng (Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Tielin Zhang (Chinese Academy of Sciences, China) Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** tielin.zhang(a)ia.ac.cn shouyiw(a)uta.edu yang(a)maebashi-it.org

1 0

8th IEEE International Conference on Information, Intelligence, Systems and Applications (IISA 2017): Fifth Call for Papers
by Announce Announcements 09 Apr '17

09 Apr '17

*** Fifth Call for Papers *** 8th International Conference on Information, Intelligence, Systems and Applications IISA 2017 Golden Bay Beach Hotel, Larnaca, Cyprus 28 - 30 August, 2017 http://www.cs.ucy.ac.cy/~george/lm/lm.php?tk=Y29tcHV0YXRpb25hbC5zY2llbmNlCQ… The International Conference on Information, Intelligence, Systems and Applications (IISA) series offers a forum for the constructive interaction and prolific exchange of ideas among scientists and practitioners from different research fields such as computers, mathematics, physics, biology, medicine, chemistry, experimental psychology, social sciences, linguistics, and engineering having the goal of developing methodologies and tools for the solution of complex problems in artificial intelligence, biology, neuroscience, security, monitoring, surveillance, healthcare, sustainability in energy sources, governance, education, commerce, automation, robotics, optimization, image, speech and natural languages, and their integration. IISA 2017 is the eighth conference in the IISA series, technically co-sponsored by IEEE, BAIF, the University of Piraeus and the University of Cyprus. The IISA 2017 proceedings will be published by IEEE and be included in the IEEE DL. The conference is intended as an international forum for researchers and professionals in all areas of Information, Intelligence, Systems, and Applications. We invite submissions of papers presenting high-quality original research and developments for the conference tracks listed below. The conference venue is the Golden Bay Beach Hotel (http://www.goldenbay.com.cy) perfectly situated at the edge of the tourist part of Larnaca, right on a long and wide stretch of fine and clear sandy beach, 10 km from the town center, just 15 km from Larnaca International Airport and 30 minutes from the capital city of Nicosia. This prestigious 5* hotel is renowned for its excellent facilities, combined with impeccable service and finest cuisine in luxurious surroundings The conference will last for three days and will feature tutorials, technical paper presentations, workshops, and distinguished keynote speeches. Instructions to Authors Papers must be submitted in IEEE Conference Style format, which can be downloaded from http://www.cs.ucy.ac.cy/~george/lm/lm.php?tk=Y29tcHV0YXRpb25hbC5zY2llbmNlCQ… . Papers must be limited to 6 pages in length. Topics of Interest We welcome all submissions in the subjects of IISA related (but not limited) to the following tracks and topics: Track I: Information Processing and Intelligence · Advances in databases · Information systems · Information and data management · Data mining, warehousing and knowledge extraction · Recommender systems · Digital rights management · Processing of Social and Emotional Interactions · Biological and artificial neural networks · Biological and artificial immune systems · Cognitive science · Neuroscience · Computational biology · DNA computing · Evolutionary computing and genetic algorithms · Bayesian networks · Expert systems & intelligent agents · Swarm intelligence · Fuzzy logic systems · Kernel methods - support vector machines · Ensemble classifiers · Emerging machine learning paradigms · Decision making techniques · Knowledge-based systems · Ambient-ubiquitous intelligence · Robotics and automation · Affective computing Track II: Multimedia Systems and Networks · Advances in audio/video and multimedia processing · Signal mining · Signal visualization · Human-machine interaction · Multimodal systems · Multimedia systems · Autonomous Computing · Distributed computing · Quantum computing · Mobile computing · Green computing · Trusted computing · Proactive computing · Cloud computing · Ubiquitous computing · Networking · Sensing, sensory systems and sensor networks · Design and implementation · Real time systems Track III: Educational Informatics · Adaptive and personalized learning · Student modeling · Intelligent tutoring systems · E-learning and mobile learning · Social media and learning · Educational games · Computer-supported collaborative learning · Big data in education and learning analytics · Affective computing in learning systems · Smart learning environments · Virtual and augmented reality in education · Risk management in education · Learning management systems · Content management systems · Learning technologies for students with special needs Track IV: Cyber Security · Watermarking, cryptography, cryptanalysis, steganography, and stegananalysis · Privacy and authentication · Malicious software analysis · Information, computer and network security · Infrastructure security · Forensics · Biometrics Track V: Smart Energy and Smart Cities · Methodologies and tools for assessing the energy status in smart cities · Intelligent sensors and data analytics for energy optimization · Monitoring and control of energy resources · Smart grid · Fault detection · Decision support systems in energy planning and scheduling · Middleware for urban computing · Intelligent transportation systems · Public displays for modern cities · Impact of urban computing in modern cities · Case studies and best practices · Big city data · Culture for smart cities Track VI: Healthcare · E-health, mobile health and smart health · Infrastucture for smart health · Advanced devices and robotics for smart health · Ambient intelligence in assisted living · Health information systems · Healthcare management · Case studies Track VII: Applications · E-government and m-government · E-commerce and m-commerce · E-entertainment and m-entertainment · E-legal and m-legal services · Personalized systems and services · Enabling technologies, frameworks and standards · Empirical evaluations · Simulation and evaluation via simulation · Case studies · Applications in culture and heritage · Applications in tourism · Applications in natural resource management · Applications in disabilities and to people at need Important Dates · Submission of Papers: April 24, 2017 · Notification of Acceptance: May 29, 2017 · Camera-ready Submission: June 12, 2017 · Registration and Payment for Authors: June 12, 2017 · Conference Dates: August 28-30, 2017 Organization Program Chairs · N. Bourbakis, Wright State University, USA · G. A. Papadopoulos, University of Cyprus, Cyprus · G. A. Tsihrintzis, University of Piraeus, Greece · N. Virvou, University of Piraeus, Greece Program Committee http://www.cs.ucy.ac.cy/~george/lm/lm.php?tk=Y29tcHV0YXRpb25hbC5zY2llbmNlCQ…

1 0

[AHPC] Deadline extension
by Alessandro Papadopoulos 08 Apr '17

08 Apr '17

AHPC 2017 Call for Papers Apologies if you receive multiple copies. ------------------------------------------------------------------------------------------------------------------- International Workshop on Autonomic High Performance Computing (AHPC 2017) http://hpcs2017.cisedu.info/conference/workshops---hpcs2017/workshop10-ahpc Submission link: https://easychair.org/conferences/?conf=ahpc2017 ------------------------------------------------------------------------------------------------------------------- Genoa, Italy July 17 – July 21, 2017 As part of The International Conference on High Performance Computing & Simulation (HPCS 2017) === Important Dates === Paper Submissions: April 20, 2017 (Extended) Acceptance Notification: April 30, 2017 Camera Ready Papers and Registration Due by: May 03, 2017 === Overview === Due to the increasing complexity, scale and heterogeneity in computing systems and applications, including hardware, software, sensors, communications and networks, there are needs for Autonomic Computing (AC) focusing on self-manageable systems that exhibit self-configuration, self-healing, self-protection, self-optimization, and/or self-monitoring. It is getting even more critical with the ubiquitous permeation of embedded and IoT devices. The purpose of this workshop is intended to bring together specialists and researchers in those converging specialties to share views and address technical issues and developments for autonomic and high performance computing. === Topics === * Autonomic computing systems that exhibit Self-configuration, self-healing, self-protection, self-optimization, self-awareness, and/or self-monitoring * Software engineering principles and architectures in Autonomic Computing * Algorithms: machine learning, operations research, probability and stochastic processes, queueing theory, rule-based systems, biological-inspired techniques, and socially-inspired techniques * Control-based approaches and Control Theory applied to Autonomic High Performance Computing systems * Autonomic components: hardware accelerators, multi-core servers, storage, and networking * Data analysis and decision techniques * Monitoring systems * Theory and practice of autonomic systems * Self-Organization and Organic Computing * Management of resources including hardware, workloads, faults, security, power, and other challenges * Hypervisor, operating systems, middleware, hardware, or application support for autonomic computing * Knowledge-based and/or intelligent user interfaces * Self-adaptability and self-management of context-aware systems * Cognitive computing and self-awareness in HPC and distributed systems * Modeling, virtualization, operating systems or application in autonomic computing * Biologically inspired computing (evolutionary algorithms, cellular automata, DNA computation, amorphous computing, etc) * Autonomic solutions in Cyber-Physical Systems (CPS) and Internet of Things (IoT) * Autonomic solutions in security and integrity * Applications of autonomic computing and experiences in science, engineering, business and society === Organizers === Alessandro Vittorio Papadopoulos, Mälardalen University, Sweden Antonio Filieri, Imperial College London, United Kingdom === Technical Program Committee === * Ahmed Ali-Eldin, Umeå University, Sweden * Mohammad Ashjaei, Mälardalen University, Sweden * Jacob Beal, BBN Technologies, Massachusetts, USA * Javier Cámara Moreno, Carnegie Mellon University, USA * Florina M. Ciorba, University of Basel, Switzerland * Vincenzo Gulisano, Chalmers University of Technology, Sweden * Alexandru Iosup, TU Delft. The Netherlands * Paul Kelly, Imperial College London, U.K. * Alberto Leva, Politecnico di Milano, Italy * Matteo Mordacchini, Istituto di Informatica e Telematica, Italy * Yiannis Nikolakopoulos, Chalmers University of Technology, Sweden * Manish Parashar, Rutgers University, New Jersey, USA * Gauthier Picard, Institut Henri Fayol, MINES Saint-Etienne, France * Francesco Quaglia, Sapienza Università di Roma, Italy * Paolo Romano, Lisbon University & INESC-ID, Portugal * Eric Rutten, INRIA Grenoble Rhône-Alpes, France * Luis Tomás Bolívar, RedHat, Spain

1 0

DeepLearn 2017: early registration April 21
by GRLMC 08 Apr '17

08 Apr '17

DeepLearn 2017: early registration April 21*To be removed from our mailing list, please respond to this message with UNSUBSCRIBE in the subject line* ************************************************************ INTERNATIONAL SUMMER SCHOOL ON DEEP LEARNING DeepLearn 2017 Bilbao, Spain July 17-21, 2017 Organized by: University of Deusto Rovira i Virgili University http://grammars.grlmc.com/DeepLearn2017/ ************************************************************ --- Early registration deadline: April 21, 2017 --- ******************************************************** SCOPE: DeepLearn 2017 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neuroscience, computer vision, speech recognition, language processing, drug discovery, biomedical informatics, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience. Most deep learning subareas will be displayed, and main challenges identified through 4 keynote lectures, 30 six-hour courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event. An open session will give participants the opportunity to present their own work in progress in 5 minutes. ADDRESSED TO: In principle, graduate students, doctoral students and postdocs will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. DeepLearn 2017 is also appropriate for more senior academics and practitioners who want to keep themselves updated on recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators. REGIME: In addition to keynotes, 3-4 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another. VENUE: DeepLearn 2017 will take place in Bilbao, the largest city in the Basque Country, famous for its gastronomy and the seat of the Guggenheim Museum. The venue will be: DeustoTech, School of Engineering University of Deusto Avda. Universidades, 24 48014 Bilbao, Spain KEYNOTE SPEAKERS: (to be completed) Richard Socher (Salesforce), Tackling the Limits of Deep Learning PROFESSORS AND COURSES: Narendra Ahuja (University of Illinois, Urbana-Champaign), [introductory/intermediate] Basics of Deep Learning with Applications to Image Processing, Pattern Recognition and Computer Vision Pierre Baldi (University of California, Irvine), [intermediate/advanced] Deep Learning: Theory and Applications to the Natural Sciences Sven Behnke (University of Bonn), [intermediate] Visual Perception using Deep Convolutional Neural Networks Mohammed Bennamoun (University of Western Australia), [introductory/intermediate] Deep Learning for Computer Vision Hervé Bourlard (Idiap Research Institute), [intermediate/advanced] Deep Sequence Modeling: Historical Perspective and Current Trends Thomas Breuel (NVIDIA Corporation), [intermediate] Segmentation, Processing, and Tracking, with Applications to Video, Gaming, VR, and Self-driving Cars George Cybenko (Dartmouth College), [intermediate] Deep Learning of Behaviors Rina Dechter (University of California, Irvine), [introductory] Algorithms for Reasoning with Probabilistic Graphical Models Li Deng (Microsoft Research), tba Jianfeng Gao (Microsoft Research), [introductory/intermediate] An Introduction to Deep Learning for Natural Language Processing Michael Gschwind (IBM T.J. Watson Research Center), [introductory/intermediate] Deploying Deep Learning Applications at the Enterprise Scale Yufei Huang (University of Texas, San Antonio), [intermediate/advanced] Deep Learning for Precision Medicine and Biomedical informatics Soo-Young Lee (Korea Advanced Institute of Science and Technology), [intermediate/advanced] Multi-modal Deep Learning for the Recognition of Human Emotions in the Wild Li Erran Li (Columbia University), [intermediate/advanced] Deep Reinforcement Learning: Recent Advances and Frontiers Michael C. Mozer (University of Colorado, Boulder), [introductory/intermediate] Incorporating Domain Bias into Neural Networks Roderick Murray-Smith (University of Glasgow), [intermediate] Applications of Deep Learning Models in Human-Computer Interaction Research Hermann Ney (RWTH Aachen University), [intermediate/advanced] Speech Recognition and Machine Translation: From Statistical Decision Theory to Machine Learning and Deep Neural Networks Jose C. Principe (University of Florida), [intermediate/advanced] Cognitive Architectures for Object Recognition in Video Marc’Aurelio Ranzato (Facebook AI Research), [introductory/intermediate] Learning Representations for Vision, Speech and Text Processing Applications Maximilian Riesenhuber (Georgetown University), [introductory/intermediate] Deep Learning in the Brain Ruslan Salakhutdinov (Carnegie Mellon University), [intermediate/advanced] Foundations of Deep Learning and its Recent Advances Alessandro Sperduti (University of Padua), [intermediate/advanced] Deep Learning for Sequences Jimeng Sun (Georgia Institute of Technology), [introductory] Interpretable Deep Learning Models for Healthcare Applications Julian Togelius (New York University), [intermediate] (Deep) Learning for (Video) Games Joos Vandewalle (KU Leuven), [introductory/intermediate] Data Processing Methods, and Applications of Least Squares Support Vector Machines Ying Nian Wu (University of California, Los Angeles), [introductory/intermediate] Generative Modeling and Unsupervised Learning Eric P. Xing (Carnegie Mellon University), [intermediate/advanced] Statistical Machine Learning Perspectives of Extending Deep Neural Networks: Kernels, Logics, Regularizers, Priors, and Distributed Algorithms Georgios N. Yannakakis (University of Malta), [introductory/intermediate] Deep Learning for Games - But Not for Playing them Scott Wen-tau Yih (Microsoft Research), [introductory/intermediate] Continuous Representations for Natural Language Understanding Richard Zemel (University of Toronto), [introductory/intermediate] Learning to Understand Images and Text OPEN SESSION: An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david.silva409 (at) yahoo.com by July 9, 2017. INDUSTRIAL SESSION: A specific session will be devoted to demonstrations of practical uses of deep learning in industrial processes. Companies/people interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration, the duration requested and the logistics necessary. At least one of the people participating in the demonstration should have registered for the event. Expressions of interest have to be submitted to david.silva409 (at) yahoo.com by July 2, 2017. EMPLOYERS SESSION: Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. At least one of the people in charge of the search should have registered for the event. Expressions of interest have to be submitted to david.silva409 (at) yahoo.com by July 2, 2017. ORGANIZING COMMITTEE: Pablo García Bringas (co-chair) José Gaviria Carlos Martín (co-chair) Manuel Jesús Parra Iker Pastor Borja Sanz (co-chair) David Silva REGISTRATION: It has to be done at http://grammars.grlmc.com/DeepLearn2017/registration.php The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an approximation of the respective demand for each course. Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue will be complete. It is much recommended to register prior to the event. FEES: Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline. ACCOMMODATION: A suggestion for accommodation is available on the website. CERTIFICATE: Participants will be delivered a certificate of attendance indicating the number of hours of lectures. QUESTIONS AND FURTHER INFORMATION: david.silva409 (at) yahoo.com ACKNOWLEDGMENTS: Universidad de Deusto Universitat Rovira i Virgili

1 0

IEEE DSAA'2017: IEEE International Conference on Data Science and Advanced Analytics
by Calls＠DataSciences.org 07 Apr '17

07 Apr '17

Apologize if this circulation interrupts you. ========================================================================================= CALL For PAPERS & OTHER CALLS IEEE DSAA'2017: 2017 International Conference on Data Science and Advanced Analytics Tokyo, Japan October 19-21, 2017 http://www.dslab.it.aoyama.ac.jp/dsaa2017/ ========================================================================================= HIGHLIGHTS OF DSAA * A very competitive acceptance rate (about 10%) for regular papers * Jointly supported by IEEE, ACM and American Statistical Association * Strong inter-disciplinary and cross-domain culture * Strong engagement of analytics, statistics and industry/government * Double blind, and 10 pages in IEEE 2-column format * More about DSAA conferences: www.dsaa.co The Program Committee of the 2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA'2017) invites the submission of technical papers for two main tracks: Research and Applications, and a series of Special Sessions of the conference which will be held in Tokyo, Japan, from October 19th to 21th, 2017. DSAA solicits both theoretical and practical works on data science and advanced analytics. All submissions will be blind reviewed by the Program Committee on the basis of technical quality, relevance to conference topics of interest, originality, significance, and clarity. All accepted papers, including in main tracks and special sessions, will be published by IEEE and will be submitted for inclusion in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. Top quality papers accepted and presented at the conference will be selected for extension and invited to the special issues of International Journal of Data Science and Analytics (JDSA, Springer). IEEE DSAA INTRODUCTION Data science encompasses the areas of data analytics, machine learning, statistics, optimization and managing big data, and has become essential to glean understanding from large data sets and convert data into actionable intelligence, be it data available to enterprises, society, Government or on the Web. DSAA takes a strong interdisciplinary approach, features by its strong engagement with statistics and business, in addition to core areas including analytics, learning, computing and informatics. DSAA fosters its unique Trends and Controversies session, Invited Industry Talks session, Panel discussion, and four keynote speeches from statistics, business, and data science. DSAA main tracks maintain a very competitive acceptance rate (about 10%) for regular papers. Following the preceding three editions DSAA'2016 (Montreal), DSAA'2015 (Paris), and DSAA'2014 (Shanghai), DSAA'2017 aims to provide a premier forum that brings together researchers, industry practitioners, as well as potential users of big data, for discussion and exchange of ideas on the latest theoretical developments in Data Science as well as on the best practices for a wide range of applications. RESEARCH TRACK The Research Track is aimed at collecting original (unpublished nor under consideration at any other venue) and significant contributions related to foundations of Data Science and Analytics. Topics: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfpapers/#topics_research APPLICATIONS TRACK The Applications Track is aimed at collecting original papers describing better and reproducible practices with substantial contributions to Data Science and Analytics in real life scenarios. Topics: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfpapers/#topics_applications SPECIAL SESSIONS DSAA special sessions substantially upgrade traditional workshops to encourage emerging topics in data science while maintain rigorous selection criteria. Proposals to organize special sessions and submissions to respective special sessions are highly encouraged. CONFERENCE VENUE The DSAA’2017 conference will be held at Shinagawa Prince Hotel in Tokyo, Japan. It is just two minutes walk from Shinagawa Station, which is the first stop on the Tokaido Shinkansen from Tokyo Station and is about 20 minutes from Haneda Airport (Tokyo International Airport). IMPORTANT DATES Paper Submission deadline: May 25, 2017 Notification of acceptance: July 25, 2017 Final Camera-ready papers due: August 15, 2017 Early Registration dealine: August 31, 2017 Conference dates: October 19-21, 2017 For further details, please visit the conference website: http://www.dslab.it.aoyama.ac.jp/dsaa2017/ +++++++++++++++++ OTHER CALLS & IMPORTANT DATES +++++++++++++++++++ Special Session Proposals Proposal submission: February 25, 2017 Acceptance notification: TBA by Special Session Organizers Special session dates: October 19 – 21, 2017 For more information: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfspecsessions/ Tutorial Proposals Proposal submission: May 30, 2017, 11:59pm PST Notification: June 30, 2017 Tutorial slides/other materials due: September 20, 2017, 11:59pm PST Tutorials dates: October 19-21, 2017 For more information: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cftutorials/ Sponsorships IEEE DSAA'2017 will be held between 19-21 October 2017 in Tokyo, Japan. Sponsorship and opportunities to collaborate with DSAA'2017 should be directed to the DSAA'2017 Sponsorship Co-chairs at dsaa2017[at]dsaa.co. For more information: http://www.dslab.it.aoyama.ac.jp/dsaa2017/cfsponsors/ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ORGANIZING COMMITTEE General Chairs: Hiroshi Motoda, Osaka University, Japan Fosca Giannotti, Information Science and Technology Institute of the National Research Council at Pisa, Italy Tomoyuki Higuchi, Institute of Statistical Mathematics, Japan Program Chairs -- Research Track Takashi Washio, Osaka University, Japan Joao Gama, University of Porto, Portugal Program Chairs -- Application Track Ying Li, DataSpark Pte. Ltd., Singapore Rajesh Parekh, Facebook, also with KDD2016 and The Hive, USA Special Session Chairs Huan Liu, Arizona State University, USA Albert Bifet, Telecom ParisTech, France Trends & Controversies Chairs Philip S. Yu, University of Illinois at Chicago, USA Pau-Choo (Julia) Chung, National Cheng Kung University, Taiwan Award Chair Bamshad Mobasher, DePaul University, USA NGDS (Next Generation Data Scientist) Award Chairs Kenji Yamanishi, University of Tokyo, Japan Xin Wang, University of Calgary, Canada Tutorial Chairs Zhi-Hua Zhou, Nanjing University, China Vincent Tseng, National Chiao Tung University, Taiwan Panel Chairs Geoff Webb, Monash University, Australia Bart Goethals, University of Antwerp, Belgium Invited Industry Talk Chairs Yutaka Matsuo, University of Tokyo, Japan Hang Li, Huawei Technologies, Hong Kong Publicity Chairs Tu Bao Ho, Japan Advanced Institute of Science & Technology, Japan Diane J. Cook, Washington State University Marzena Kryszkiewicz, Warsaw University of Technology, Poland Local Organizing Chairs Satoshi Kurihara, University of Electro-Communications, Japan Hiromitsu Hattori, Ritsumeikan University, Japan Publication Chair Toshihiro Kamishima, National Institute of Advanced Industrial Science and Technology, Japan Web Chair Kozo Ohara, Aoyama Gakuin University, Japan Sponsorship Chairs Yoji Kiyota, NEXT Co., Ltd, Japan Kiyoshi Izumi, University of Tokyo, Japan Tadashi Yanagihara, KDDI Corp., KDDI R\&D Laboratory, Japan Longbing Cao, University of Technology Sydney, Australia Byeong Kang University of Tasmania, Australia CONTACT INFORMATION Hiroshi Motoda motoda(a)ar.sanken.osaka-u.ac.jp Satoshi Kurihara skurihara(a)uec.ac.jp

1 0

CALL FOR PAPERS - The 3nd International Conference on Big Data Innovations and Applications (Innovate-Data 2017)
by Bilan Zhu 07 Apr '17

07 Apr '17

------------------------ Call for Papers (Deadline Extended: 18 April 2017 (Firm)----------------------------------- The 3rd International Conference on Big Data Innovations and Applications (Innovate-Data 2017) (IEEE CS-TCI) 21-23 August 2017, Prague, Czech Republic http://www.ficloud.org/innovate-data-2017/ ---------------------------------------------------------------------------- - Big data has become a key asset in modern societies, economies, and governmental organizations. Big data encompasses various kinds of complex and large scale information that are beyond the processing capabilities of conventional software and databases. The increasing volume and velocity of the data, captured by business organizations, web repositories, social media, data centres, cloud and IoT, have resulted in the exponential growth of big data. Big data provides a key basis for innovations in various domains and applications. It can benefit data managers, developers, companies and various kinds of organizations to carry out useful analysis of data pattern and trends, make intelligent decisions, and solve complex problems that can help societies and economies and speed up innovations. The aim of the Innovate-Data 2017 conference is to promote the state of the art in scientific and practical research of big data and to bring together researchers and practitioners from academia, industry, and public sector in an effort to present their research work and share research and development ideas. Topics of interest include, but are not limited to: - Innovations in big data - Data models and architectures - Applications of big data - Big data engineering and design - Security, privacy, and trust - Data protection and integrity - Identity theft, data loss and leakage - Legal and ethical issues - Data analytics and metrics - Data representation and structures - Data management and processing - Data capturing and acquisition - Tools and technologies - QoS of big data - Social networks analysis - Data searching and mining - Visualisation of data - Personal data logging and quantified-self - Context-aware data - Personalisation of data - Data economics - Applications of open and big data - Open and linked data - Methodologies and use cases - Usability issues - Storages and network requirements - Network models and protocols - Big data in cloud and IoT 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/innovate-data-2017/). All papers accepted for this conference will 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 website). Important Dates: Submission Deadline: 18 April 2017 (Firm) Authors Notification: 30 May 2017 Final Manuscript Due: 20 June 2017 Organising Committee General Chair Mazin Yousif, T-Systems International, USA Program Co-Chairs Dana Petcu, Western University of Timisoara, Romania Muhammad Younas, Oxford Brookes University, UK Local Organising Chair Irena Holubova, Charles University, Prague, Czech Republic Publication Chair Irfan Awan, University of Bradford, UK Workshop Coordinator Lay Ki Soon, Multimedia University, Malaysia International Liaison Chair Ruben Casado, Accenture Digital, Madrid, Spain Publicity Chair Bilan Zhu, Tokyo University of Agriculture and Technology, Japan Journal Special Issues Coordinator Farookh Hussain, University of Technology Sydney, Australia

1 0

TNSM Special Issue on Advances in Big Data Analytics for Management (Submissions due: 3 May 2017)
by Yixin Diao 06 Apr '17

06 Apr '17

=========================================================================== IEEE Transactions on Network and Service Management Special Issue on Advances in Big Data Analytics for Management http://www.comsoc.org/tnsm/cfp/si-bdm (Submissions due: 3 May 2017) =========================================================================== Cloud and network analytics can harness the immense stream of operational data from clouds and networks, and can perform analytics processing to improve reliability, configuration, performance, and security management. In particular, we see a growing trend towards using statistical analysis and machine learning to improve operations and management of IT systems and networks. Research is therefore needed to understand and improve the potential and suitability of Big Data analytics in the context of systems and network management. This will not only provide deeper understanding and better decision making based on largely collected and available operational data, but present opportunities for improving data analysis algorithms and methods on aspects such as accuracy and scalability. Moreover, there is an opportunity to define novel platforms that can harness the vast operational data and advanced data analysis algorithms to drive management decisions in networks, data centers, and clouds. IEEE Transactions on Network and Service Management (IEEE TNSM) is a premier journal for timely publication of archival research on the management of networks, systems, services and applications. Following the success of TNSM special issue on Big Data Analytics for Management (September 2016), this special issue of TNSM will focus on "Advances in Big Data Analytics for Management," presenting recent, emerging approaches and technical solutions that can exploit Big Data and analytics in management solutions. We welcome submissions addressing the underlying challenges of Big Data Analytics for Management and presenting novel theoretical or experimentation results. Survey papers that offer a perspective on related work and identify key challenges for future research will be considered as well. ----------------------------------------------------------------------- Topics of Interest Topics of interest for this special issue include, but are not limited, to the following: Big Data Analytics and Machine Learning - Analysis, modelling and visualization - Operational analytics and intelligence - Event and log analytics - Anomaly detection and prediction - Monitoring and measurements for management - Harnessing social data for management - Predictive analytics and real-time analytics - Data mining, statistical modeling, and machine learning for management Application Domains and Management Paradigms - Cloud and network analytics - Data centric management of virtualized infrastructure, clouds and data centers - Data centric management of storage resources and software defined networks - Data centric management of Internet of Things and cyber-physical systems - Platforms for analyzing and storing logs and operational data for management tasks - Applications of Big data analytics to traffic classification, root-cause analysis, service quality assurance, IT service and resource management - Analytics and machine learning applications to cyber-security, intrusion detection, threat analysis, and failure detection ----------------------------------------------------------------------- Paper Submission All papers should be submitted through the IEEE Transactions on Network and Service Management manuscript submission site at https://mc.manuscriptcentral.com/tnsm. Authors must indicate in the submission cover letter that their manuscript is intended for the "Advances in Big Data Analytics for Management" special issue. Each submission will be limited to 14 pages in IEEE 2-column format. Detailed author guidelines can be found at http://www.comsoc.org/tnsm/author-guidelines. ----------------------------------------------------------------------- Important Dates Submission Deadline: May 3, 2017 Author Notification: July 15, 2017 Revision Deadline: September 15, 2017 Final Decision: November 1, 2017 Camera Ready: December 1, 2017 Publication: March 2018 ----------------------------------------------------------------------- Guest Editors Giuliano Casale (Imperial College London, UK) Yixin Diao (IBM T. J. Watson Research Center, USA) Marco Mellia (Politecnico di Torino, Italy) Rajiv Ranjan (Newcastle University, UK) Nur Zincir-Heyood (Dalhousie University, Canada) Albert Zomaya (University of Sydney, Australia) For more information, please contact the guest editors at TNSM.SI.BDM(a)gmail.com.

1 0

SISAP 2017 -- Call for Papers
by Kröger, Peer 06 Apr '17

06 Apr '17

(Apologies to those who may have received this message more than once.) CALL FOR PAPERS - SISAP 2017 10th International Conference on Similarity Search and Applications Munich, Germany, October, 4 - 6, 2017 Web site: http://www.sisap.org/2017/ Submission site (EasyChair) is now open at: https://easychair.org/conferences/?conf=sisap2017. ---------------------------------------- Scope ---------------------------------------- The 10th International Conference on Similarity Search and Applications (SISAP) is an annual forum for researchers and application developers in the area of similarity data management. It aims at the technological problems shared by numerous application domains, such as data mining, information retrieval, multimedia, computer vision, pattern recognition, computational biology, geography, biometrics, machine learning, and many others that make use of similarity search as a necessary supporting service. >From its roots in metric indexing, SISAP has expanded to become the only international conference entirely devoted to all issues surrounding the theory, design, analysis, practice, and application of content-based and feature-based similarity search. ---------------------------------------- Topics ---------------------------------------- The specific topics include, but are not limited to: * Similarity queries - k-NN, range, reverse k-NN, top-k, approximate, etc. * Similary measures - graph, structural, time series, complex data, tensors, secondary similarity, etc. * Similarity operations - joins, ranking, classification, categorization, filtering, etc. * Indexing and access methods for similarity-based processing * Evaluation techniques for similarity queries and operations * Merging/combining multiple similarity modalities * Cost models and analysis for similarity data processing * Scalability issues and high-performance similarity data management * Feature selection and extraction for similarity search * Multimedia retrieval systems * Security and privacy of similarity search * Similarity for forensics and security * Distributed similarity search * Similarity search cloud services * Languages for similarity databases * Applications of similarity-based operations * Visual analytics for similarity-based operations * Test collections and benchmarks * Performance studies and comparisons * Industrial applications and case studies * Theory - models of similarity, intrinsic dimensionality, discriminability and contrast, manifolds and subspaces, etc. ---------------------------------------- Important Dates ---------------------------------------- Abstracts Due: May 12, 2017 Full Papers Due: May 19, 2017 Conference: October 4-6, 2017 ---------------------------------------- Paper Submission and Publication ---------------------------------------- SISAP 2017 allows for three forms of submissions: long research papers (from 9 to 14 pages), short research papers (of up to 8 pages) and demo papers (of up to 8 pages). Full papers are expected to be descriptions of complete technical work, whereas short papers can describe innovative approaches or preliminary results which may nevertheless require more work to mature. Vision papers and other position papers should be submitted as short research papers. Demo submissions should provide the motivation for the demonstrated concepts, the information about the technology and the system to be demonstrated (including a system description, functionality and figures when applicable), and should state the significance of the contribution. The scenarios within which the demonstration applies should also be explained. Evaluation criteria for the demonstration proposals include: novelty, technical advances and challenges, and the overall practical attractiveness of the demonstrated system. By submitting a paper, its authors commit to its presentation at the conference in the event that the paper is accepted. For an accepted paper to be included in the proceedings, at least one of its authors must register for the conference. At SISAP 2017, all research papers will be presented both orally and in a poster session. The demos will also be presented in the poster session - posters should be prepared for these as well. All research and demo papers will be given an entry in the conference proceedings. Papers submitted to SISAP 2017 must be written in English and formatted according to the LNCS guidelines. Papers will be submitted in PDF format through EasyChair (https://easychair.org/conferences/?conf=sisap2017). If you experience any problems during the submission, please contact the Program Committee Co-Chairs at sisap2017(a)easychair.org. The proceedings of SISAP will be published by Springer as a volume in the Lecture Notes in Computer Science (LNCS) series. For SISAP 2016, as in previous years, extended versions of 5 excellent papers will be invited for publication in a special issue of the journal Information Systems. The conference will also confer a Best Paper Award, as judged by the Program Committee Co-Chairs and Steering Committee. ---------------------------------------- Special Session for Industry ---------------------------------------- A special session devoted to industrial applications and case studies will also take place. Submissions are solicited in multimedia, broadcasting, archiving, image processing, social networks, bioinformatics, and any other area in which similarity technology has made a practical impact. Of particular interest are submissions concerned with one or more of the following: * Use cases and scenarios * Best practice for similarity search * Adoption of similarity search in new industrial contexts * Requirements for research and development ---------------------------------------- Keynote Speakers ---------------------------------------- Christian S. Jensen Aalborg University, Denmark Cyrus Shahabi University of Southern California, USA Reinhard Förtsch Deutsches Archäologisches Intitut (German Institute for Archaeology), Germany ---------------------------------------- Organization ---------------------------------------- Steering Committee Edgar Chávez, CICESE, Mexico Pavel Zezula, Masaryk University, Czech Republic General Chair Peer Kröger, Ludwig-Maximilians-Universität München, Germany Program Committee Co-Chairs Christian Beecks, Fraunhofer FIT, Germany Peer Kröger, Ludwig-Maximilians-Universität München, Germany Local Arrangements Susanne Grienberger, Ludwig-Maximilians-Universität München, Germany Janina Bleicher, Ludwig-Maximilians-Universität München, Germany Proceedings Chair Felix Borutta, Ludwig-Maximilians-Universität München, Germany Web Chair Florian Richter, Ludwig-Maximilians-Universität München, Germany

1 0

BIOKDD-DEXA'17: CFP
by Mourad Elloumi 06 Apr '17

06 Apr '17

*CALL FOR PAPERS* *8th International Workshop on* *Biological **Knowledge Discovery from Big Data **(BIOKDD'17)* Held in parallel with *28th International Conference on Database and * *Expert Systems Applications **(**DEXA’17**)* *www.dexa.org/biokdd2017 <http://www.dexa.org/biokdd2017>* Lyon, France August 28 - 31, 2017 In the recent years, there has been a rapid development of biological technologies producing more and more *biological data*, i.e., data related to biological macromolecules (DNA, RNA and proteins). The rise of *Next Generation Sequencing* (NGS) technologies, also known as *high-throughput sequencing* technologies, has contributed actively to the deluge of these data. In general, these data are big, heterogeneous, complex, and distributed in all over the world in databases. Analyzing biological big data is a challenging task, not only, because of its complexity and its multiple and numerous correlated factors, but also, because of the continuous evolution of our understanding of the biological mechanisms. Classical approaches of biological data analysis are no longer efficient and produce only a very limited amount of information, compared to the numerous and complex biological mechanisms under study. From here comes the necessity to adopt new computer tools and develop new *in silico* high performance approaches to support us in the analysis of biological big data and, hence, to help us in our understanding of the correlations that exist between, on one hand, structures and functional patterns in biological macromolecules and, on the other hand, genetic and biochemical mechanisms. *Biological **Knowledge Discovery from Big Data* (BIOKDD) is a response to these new trends. Topics of BIOKDD’17 workshop include, but not limited to: *Data Preprocessing: *Biological Big Data Storage*, *Representation and Management (data warehouses, databases, sequences, trees, graphs, biological networks and pathways, …), Biological Big Data Cleaning (errors removal, redundant data removal, completion of missing data, …), Feature Extraction (motifs, subgraphs, …), Feature Selection (filter approaches, wrapper approaches, hybrid approaches, embedded approaches, …). *Data Mining: *Biological Big Data Regression (regression of biological sequences…), Biological Big Data Clustering/Biclustering (microarray data biclustering, clustering/biclustering of biological sequences, …), Biological Big Data Classification (classification of biological sequences…), Association Rules Learning from Biological Big Data, Text mining and Application to Biological Sequences, Web mining and Application to Biological Big Data, Parallel, Cloud and Grid Computing for Biological Big Data Mining. *Data Postprocessing:* Biological Nuggets of Knowledge Filtering, Biological Nuggets of Knowledge Representation and Visualization, Biological Nuggets of Knowledge Evaluation (calculation of the classification error rate, evaluation of the association rules *via* numerical indicators, e.g. *measurements of interest*, … ), Biological Nuggets of Knowledge Integration *PAPER SUBMISSION DETAILS: * Authors are invited to submit electronically original contributions in English. Submitted papers should not exceed 5 pages in IEEE CSP format *http://www.computer.org/portal/web/cscps/formatting <http://www.computer.org/portal/web/cscps/formatting>*. All accepted papers will be published in the proceedings of DEXA’17 Workshops with IEEE CSP*. *One of the authors of an accepted paper must register to DEXA’17 conference and present the paper at BIOKDD’17 workshop. For paper registration and electronic submission see http://confdriver.ifs.tuwien.ac.at/dexa2017/ starting from January 2017. *IMPORTANT DATES:* Submission of abstracts: April 16, 2017 Submission of full papers: April 23, 2017 Notification of acceptance: May 17, 2017 Camera-ready copies due: June 07, 2017 *PROGRAM COMMITTEE:* Mourad Elloumi, LaTICE, University of Tunis, Tunisia (PC Chair) Emanuel Weitschek, Uninetuno University, Rome, Italy Daisuke Kihara, Purdue University, West Lafayette, USA Bhaskar DasGupta, University of Illinois at Chicago, Chicago, USA Giuseppe Lancia, University of Udine, Italy Dominique Lavenier, GenScale, IRISA-CNRS, Rennes, France Robert Harrison, Georgia State University, Atlanta, Georgia, USA Hasan Davulcu, Arizona State University, Arizona, USA Vladimir Makarenkov, University of Québec, Montréal, Canada Ronnie Alves, Instituto Tecnológico Vale D.S, Belém, Brasil Paul Yoo, Bournemouth University, UK Davide Verzzotto, Genome Institute of Singapore, Singapore Matteo Comin, University of Padova, Padova, Italy Adrien Goëffon, University of Angers, France Tolga Can, Middle East Technical University, Ankara, Turkey Maad Shatnawi, Higher colleges of Technology, Abu Dhabi, UAE Evangelos Theodoridis, Intel Labs Europe, London, UK. Manoj Kumar Shukla, Amity School of Engineering, Amity University, Noida, India Abdelouahid Lyhyaoui, University Abdelmalek Essaadi, Tangier, Morocco Gaurav Kumar, Virginia Commonwealth University, Richmond, USA Giosuè Lo Bosco, University of Palermo, Italy Yongchao Liu, Georgia Institute of Technology, Georgia, USA Zina M. Ibrahim, King’s College, London, UK ***

1 0

CRITIS 2017 Call for Papers
by Cristina Alcaraz 05 Apr '17

05 Apr '17

Dear Colleague, we invite you to submit a contribution to CRITIS 2017, the International Conference on Critical (Information) Infrastructures Security. This year the conference will take place in Lucca, a gorgeous Renaissance city in Tuscany, 9-11 October 2017. Papers can be submitted via EasyChair; for poster contributions, submission can be limited to an extended abstract. All accepted contributions will be included in full length in the pre-proceedings that will appear at the time of the conference; accepted papers are planned to be published in the LNCS Springer-Verlag series. Special attention will be devoted to young talents. To this purpose, a price (YCA: Young Critis Award) will be awarded to the best contribution presented by a young author. On 12-13 October, the conference will be followed by two satellite workshops on Energy and Water. For further details, please visit our website www.critis2017.org . We would appreciate you advertise the conference by the attached leaflet. The organizers: Cristina Alcaraz, Hypatia Nassopoulos, Antonio Scala, Gregorio D’Agostino, Grigore Havarneanu

1 0

Jump to page:

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

computational.science