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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=MsoNormal>[Apologies for cross-postings]<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>###########################################################<o:p></o:p></p><p class=MsoNormal>CALL FOR PAPERS<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>The 2nd INNS Conference on Big Data 2016<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>October 23-25, 2016, Thessaloniki, Greece<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>http://conferences.cwa.gr/inns-big-data2016/<o:p></o:p></p><p class=MsoNormal>###########################################################<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Big data is not just about storage of and access to data. Analytics play a big role in making sense<o:p></o:p></p><p class=MsoNormal>of that data and exploiting its value. But learning from big data has become a significant challenge<o:p></o:p></p><p class=MsoNormal>and requires development of new types of algorithms. Most machine learning algorithms can’t easily<o:p></o:p></p><p class=MsoNormal>scale up to big data. Plus there are challenges of high-dimensionality, velocity and variety. <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>The neural network field has historically focused on algorithms that learn in an online, incremental <o:p></o:p></p><p class=MsoNormal>mode without requiring in-memory access to huge amounts of data. This type of learning is not only <o:p></o:p></p><p class=MsoNormal>ideal for streaming data (as in the Industrial Internet or the Internet of Things), but could also be <o:p></o:p></p><p class=MsoNormal>used on stored big data. Neural network technologies thus can become significant components of big<o:p></o:p></p><p class=MsoNormal>data analytics platforms and this inaugural INNS Conference on Big Data will begin that collaborative<o:p></o:p></p><p class=MsoNormal>adventure with big data and other learning technologies. <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Thus the aim of this conference is to promote new advances and research directions in efficient and <o:p></o:p></p><p class=MsoNormal>innovative algorithmic approaches to analyzing big data (e.g. deep networks, nature-inspired and <o:p></o:p></p><p class=MsoNormal>brain-inspired algorithms), implementations on different computing platforms (e.g. neuromorphic, <o:p></o:p></p><p class=MsoNormal>GPUs, clouds, clusters) and applications of Big Data Analytics to solve real-world problems <o:p></o:p></p><p class=MsoNormal>(e.g. weather prediction, transportation, energy management).<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>#################### Important dates #####################<o:p></o:p></p><p class=MsoNormal>- Tutorial and workshops proposals: February 15th, 2016<o:p></o:p></p><p class=MsoNormal>- Notification of tutorial and workshops proposals: February 20th, 2016<o:p></o:p></p><p class=MsoNormal>- Paper submission: April 30th, 2016<o:p></o:p></p><p class=MsoNormal>- Notification of paper acceptance: May 30th, 2016<o:p></o:p></p><p class=MsoNormal>- Camera-ready submission (AISC): June 11th, 2016<o:p></o:p></p><p class=MsoNormal>- Early registration: June 20th, 2016<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Registration deadline: papers without confirmed registration by <o:p></o:p></p><p class=MsoNormal>June 24th 2016 risk their inclusion in the proceedings<o:p></o:p></p><p class=MsoNormal>##########################################################<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>#################### Invited speakers ####################<o:p></o:p></p><p class=MsoNormal>- Francesco Bonchi, ISI Foundation, Torino, Italy<o:p></o:p></p><p class=MsoNormal>- Stephen Furber, University of Manchester, UK<o:p></o:p></p><p class=MsoNormal>- Rudolf Kruse, OVG University of Magdeburg, Germany<o:p></o:p></p><p class=MsoNormal>- Piotr Mirowski, Google Deep Mind, London, UK<o:p></o:p></p><p class=MsoNormal>##########################################################<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>#################### Organizing committees ###############<o:p></o:p></p><p class=MsoNormal>General Chairs<o:p></o:p></p><p class=MsoNormal>- Plamen Angelov, Lancaster University, UK<o:p></o:p></p><p class=MsoNormal>- Yannis Manolopoulos, Aristotle University of Thessaloniki, Greece<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Program Chairs<o:p></o:p></p><p class=MsoNormal>- Lazaros Iliadis, Democritus University of Thrace, Greece<o:p></o:p></p><p class=MsoNormal>- Asim Roy, Arizona State University, Tempe USA<o:p></o:p></p><p class=MsoNormal>- Marley Vellasco, PUC-Rio, Rio de Janeiro, Brazil<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Advisory Board<o:p></o:p></p><p class=MsoNormal>- Nikola Kasabov, Auckland University of Technology, New Zealand<o:p></o:p></p><p class=MsoNormal>- Ali Minai, University of Cincinnati, USA<o:p></o:p></p><p class=MsoNormal>- Danil Prokhorov, Toyota Tech Center, Michigan, USA<o:p></o:p></p><p class=MsoNormal>- Theodore Trafalis University of Oklahoma, USA<o:p></o:p></p><p class=MsoNormal>- G. Kumar Venayagamoorthy, Clemson University, USA<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Tutorials/Workshop Chairs<o:p></o:p></p><p class=MsoNormal>- Apostolos Papadopoulos, Aristotle University of Thessaloniki, Greece<o:p></o:p></p><p class=MsoNormal>- Bernardete Ribeiro, Portugal<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Poster Session Chairs<o:p></o:p></p><p class=MsoNormal>- Yi Lu Murphey, University of Michigan-Dearborn, USA<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Special Sessions Chairs<o:p></o:p></p><p class=MsoNormal>- Irwin King, Chinese University of Hong Kong, China<o:p></o:p></p><p class=MsoNormal>- Luca Oneto, University of Genoa, Italy<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Panel Chairs<o:p></o:p></p><p class=MsoNormal>- Leonid Perlovsky, Harvard University, Boston, USA<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Awards Chair<o:p></o:p></p><p class=MsoNormal>- Araceli Sanchis de Miguel, Carlos III University, Spain<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Competitions Chairs<o:p></o:p></p><p class=MsoNormal>- Adel Alimi, University of Sfax, Tunisia<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Publication Chairs<o:p></o:p></p><p class=MsoNormal>- Mariette Awad, American University of Beirut, Lebanon<o:p></o:p></p><p class=MsoNormal>- Danilo Mandic, Imperial College, London, UK<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Publicity Chairs<o:p></o:p></p><p class=MsoNormal>- Jose Antonio Iglesias Martinez, Carlos III University of Madrid, Spain<o:p></o:p></p><p class=MsoNormal>- Simone Scardapane, The Sapienza University of Rome, Italy<o:p></o:p></p><p class=MsoNormal>- Teck Hou Teng, Singapore Management University, Singapore<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>International Liaison Chairs<o:p></o:p></p><p class=MsoNormal>- Petia Georgieva, University of Aveiro, Portugal<o:p></o:p></p><p class=MsoNormal>- De-Shuang Huang, Tongji University, Shanghai, China<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Local Organizing Committee:<o:p></o:p></p><p class=MsoNormal>- Anastasios Gounaris, Aristotle University of Thessaloniki, Greece <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>WebMaster<o:p></o:p></p><p class=MsoNormal>- Yannis Karydis, Ionian University, Greece<o:p></o:p></p><p class=MsoNormal>##########################################################<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>############# Paper Submission and Publication ###########<o:p></o:p></p><p class=MsoNormal>* Original works submitted as a regular paper limited to a maximum of 14 pages in Springer <o:p></o:p></p><p class=MsoNormal>format will be published in the proceedings to be available electronically as a Springer <o:p></o:p></p><p class=MsoNormal>book in ADVANCES IN INTELLIGENT SYSTEMS AND COMPUTING Series, to download for delegates. <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>* It will be peer-reviewed by at least three PC members on the basis of technical quality, <o:p></o:p></p><p class=MsoNormal>relevance, originality, significance and clarity. <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>* At least one author of an accepted submission to the conference should register with a regular <o:p></o:p></p><p class=MsoNormal>fee to present their work at the conference.<o:p></o:p></p><p class=MsoNormal>##########################################################<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>#################### Awards ##############################<o:p></o:p></p><p class=MsoNormal>* Best papers will be selected and awarded as follows:<o:p></o:p></p><p class=MsoNormal>- Best regular paper<o:p></o:p></p><p class=MsoNormal>- Best student paper<o:p></o:p></p><p class=MsoNormal>* This will be based on a combination of reviewers' comments, presentations and importance and <o:p></o:p></p><p class=MsoNormal>quality judged by a panel. <o:p></o:p></p><p class=MsoNormal>* Best paper awards (500 Euros) are donated by the sponsor Springer Verlag, Germany and will be <o:p></o:p></p><p class=MsoNormal>commemorated by a certificate.<o:p></o:p></p><p class=MsoNormal>##########################################################<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>###### Topics and Areas include, but not limited to ######<o:p></o:p></p><p class=MsoNormal>* Autonomous, online, incremental learning – theory, algorithms and applications in big data<o:p></o:p></p><p class=MsoNormal>* High dimensional data, feature selection, feature transformation – theory, algorithms and applications for big data<o:p></o:p></p><p class=MsoNormal>* Scalable algorithms for big data<o:p></o:p></p><p class=MsoNormal>* Learning algorithms for high-velocity streaming data<o:p></o:p></p><p class=MsoNormal>* Big data streams analytics<o:p></o:p></p><p class=MsoNormal>* Deep neural network learning<o:p></o:p></p><p class=MsoNormal>* Machine vision and big data<o:p></o:p></p><p class=MsoNormal>* Brain-machine interfaces and big data<o:p></o:p></p><p class=MsoNormal>* Cognitive modeling and big data<o:p></o:p></p><p class=MsoNormal>* Embodied robotics and big data<o:p></o:p></p><p class=MsoNormal>* Fuzzy systems and big data<o:p></o:p></p><p class=MsoNormal>* Evolutionary systems and big data<o:p></o:p></p><p class=MsoNormal>* Evolving systems for big data analytics<o:p></o:p></p><p class=MsoNormal>* Neuromorphic hardware for scalable machine learning<o:p></o:p></p><p class=MsoNormal>* Parallel and distributed computing for big data analytics (cloud, map-reduce, etc.)<o:p></o:p></p><p class=MsoNormal>* Big data and collective intelligence/collaborative learning<o:p></o:p></p><p class=MsoNormal>* Big data and hybrid systems<o:p></o:p></p><p class=MsoNormal>* Big data and self-aware systems<o:p></o:p></p><p class=MsoNormal>* Big Data and infrastructure<o:p></o:p></p><p class=MsoNormal>* Big data analytics and healthcare/medical applications<o:p></o:p></p><p class=MsoNormal>* Big data analytics and energy systems/smart grids<o:p></o:p></p><p class=MsoNormal>* Big data analytics and transportation systems<o:p></o:p></p><p class=MsoNormal>* Big data analytics in large sensor networks<o:p></o:p></p><p class=MsoNormal>* Big data and machine learning in computational biology, bioinformatics<o:p></o:p></p><p class=MsoNormal>* Recommendation systems/collaborative filtering for big data<o:p></o:p></p><p class=MsoNormal>* Big data visualization<o:p></o:p></p><p class=MsoNormal>* Online multimedia/ stream/ text analytics<o:p></o:p></p><p class=MsoNormal>* Link and graph mining<o:p></o:p></p><p class=MsoNormal>* Big data and cloud computing, large scale stream processing on the cloud<o:p></o:p></p><p class=MsoNormal>##########################################################<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>#################### Co-Sponsors #########################<o:p></o:p></p><p class=MsoNormal>* International Neural Network Society (INNS)<o:p></o:p></p><p class=MsoNormal>* Springer<o:p></o:p></p><p class=MsoNormal>##########################################################<o:p></o:p></p><p class=MsoNormal> <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>