Dear Colleague, Apologies if you receive multiple copies of this announcement. Please kindly help forward it to potentially interested authors/attendees. The 6th International Conference on Machine Learning, Optimization, and Data Science – July 19-23, 2020 – Certosa di Pontignano, Siena – Tuscany, Italy An multidisciplinary Conference: Machine Learning, Optimization, Big Data & Artificial Intelligence without Borders From 2015, the LOD Conference brings academics, researchers and industrial researchers together in a unique multidisciplinary community to discuss the state of the art and the latest advances in the integration of machine learning, optimization and data science to provide the scientific and technological foundations for interpretable, explainable and trustworthy AI adopting, from 2017, the Asilomar AI Principles. The 6th Annual Conference on machine Learning, Optimization and Data science (LOD) is a international conference on machine learning, computational optimization, data science that includes invited talks, tutorial talks, special sessions, industrial tracks, demonstrations and oral and poster presentations of refereed papers. The International Conference on Machine Learning, Optimization, and Data Science (LOD) has established itself as a premier interdisciplinary conference in machine learning, computational optimization and data science. It provides an international forum for presentation of original multidisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences. We invite submissions of papers, abstracts, posters and demos on all topics related to Machine learning, Optimization and Data Science including real-world applications for the Conference proceedings – Springer Lecture Notes in Computer Science. LOD 2020 an On-Site & On-Line Conference! After numerous discussions, we have concluded that holding the event this year in mixed form both in presence (like previous editions) and virtual is more advantageous than postponing it until next year. In order to accommodate a large number of situations and constraints, we are offering the option for either physical presence or virtual participation. We would be delighted if all authors and participants manage to attend, but are aware that special circumstances are best handled by having flexible options. The Conference, hence, will be held in presence with virtual rooms for authors and participants using remote connection (e.g., Zoom or MS Teams). The online lectures (e.g., live presentations and/or recorded ones) will be made possible. W: https://lod2020.icas.xyz E: lod@icas.cc EC: https://easychair.org/conferences/?conf=lod2020 FB: https://www.facebook.com/groups/2236577489686309/ News: https://lod2020.icas.xyz/category/news/ Important Date: * Paper Submission Deadline: June 4 – Anywhere on Earth. * Early Registration: June 30 KEYNOTE SPEAKERS: * Pierre Baldi, University of California Irvine, USA Talk: TBA * Yoshua Bengio, Université de Montréal, Canada - A.M. Turing Award 2018 LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA * Nando de Freitas, Google DeepMind, London, UK & Oxford University, UK Talk: TBA * Marco Gori, University of Siena, Italy Talk: TBA * Marta Kwiatkowska, University of Oxford, UK Talk: TBA (online talk) * Jan Peters, Technische Universitaet Darmstadt & Max-Planck Institute for Intelligent Systems, Germany Talk: Machine Learning of Robot Skills (online talk) * Panos Pardalos, University of Florida, USA Talk: Inverse Combinatorial Optimization Problems * Tomaso Poggio, MIT, USA LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA * Raniero Romagnoli, Almawave, Italy Talk: NLP for Close Domain Applications with Real World Data: an hybrid approach to jointly leverage prior domain knowledge, reasoning techniques and deep learning * Cristina Savin, Center for Neural Science, New York University, USA LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA * Tali Tishby, The Hebrew University, Israel LOD 2020 Satellite Workshop on "Biologically Plausible Learning" on July 19 Talk: TBA More Keynote Speakers Coming soon! Tutorial Speakers * Chip Huyen, Stanford University, USA 4-hour tutorial on "TensorFlow 2.0 for Deep Learning Research" * Vincenzo Sciacca, Almawave, Italy Tutorial on "Natural Language Processing and Deep Learning" More Tutorial Speakers Coming soon! SATELLITE WORKSHOPS I) Satellite Workshop on "Biologically Plausible Learning" on July 19 https://lod2020.icas.xyz/workshop-on-biologically-plausible-learning/ Chair: Marco Gori, University of Siena, Italy Keynote Speaker: * Pierre Baldi, University of California Irvine, USA * Yoshua Bengio, Université de Montréal, Canada - A.M. Turing Award 2018 * Tomaso Poggio, MIT, USA * Cristina Savin, Center for Neural Science, New York University, USA * Tali Tishby, The Hebrew University, Israel Paper Submission Deadline: June 4 – Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 II) Workshop on “Integrative Machine Learning” Chair: Marco Gori, University of Siena, Italy https://lod2020.icas.xyz/workshop-on-integrative-machine-learning/ Paper Submission Deadline: June 4 – Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 SPECIAL SESSIONS: https://lod2020.icas.xyz/special-sessions/ * Big data in Economics and Finance Organized by the Big Data and Forecasting of Economic Developments project (bigNOMICS) of the Centre for Advanced Studies of the European Commission, Joint Research Centre. Chairs: Sergio Consoli, Luca Barbaglia, Luca Tiozzo Pezzoli * Industrial Session Chairs: Vincenzo Sciacca – Almawave, 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 * 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 Special Session Paper Submission Deadline: June 4 – Anywhere on Earth. https://easychair.org/conferences/?conf=lod2020 BEST PAPER AWARD Springer sponsors the LOD 2020 Best Paper Award with a cash prize of 1,000 Euro. https://lod2020.icas.xyz/best-paper-award/ PROGRAM COMMITTEE 500+ confirmed PC members! Breaking the record of the last edition of LOD! https://lod2020.icas.xyz/program-committee/ BIG DATA CHALLENGE Our sponsor, Neodata Lab, will offer a prize of €2000 to the applicant who develops the most accurate algorithm to process the following problem. https://lod2020.icas.xyz/lod-2020-challenge/ See you in Siena next July! Best regards, LOD 2020 Organizing Committee W: https://lod2020.icas.xyz E: lod@icas.cc EC: https://easychair.org/cfp/LOD2020 FB: https://www.facebook.com/groups/2236577489686309/ T: https://twitter.com/TaoSciences L: https://www.linkedin.com/groups/12092025/ News: https://lod2020.icas.xyz/category/news/ * Apologies for multiple copies. Please forward to anybody who might be interested * Past Editions https://lod2020.icas.xyz/past-editions/