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Computational Intelligence Approaches for Multi-View Data Analytics

  • Paper submission: January 15, 2016 January 31, 2016
  • Paper decision notification: March 15, 2016
  • Camera-ready submission: April 15, 2016

Topics

  • Multi-view learning
  • Data fusion
  • Data integration
  • Multi-view and multi domain data applications
  • Multi-view data visualization


data_visualization

Scope and motivation

Over the years, huge quantities of data have been generated by large-scale scientific experiments (biomedical, “omic”, imaging, astronomical, etc.), big industrial companies and on the web. One of the characteristics of such Big Data is that it often includes multiple “views” of the underlying objects. For instance, in biomedical research, various “omics” technologies (e.g. mRNA, miRNA etc.) or imaging technologies (MRI, CT, PET, etc.) can generate multiple measurements of the same biological samples.

In order to exploit this level of complexity, new machine learning and computational intelligence methodologies such as neural networks and graph mining, amongst others, have been proposed to analyze and/or visualize these multi-facets datasets in an attempt to better exploit the information they contain.

The aim of the workshop is to solicit new approaches to real world scientific and industrial big data integration.

neuro2

Relevance for WCCI

The workshop area of interest and research is one of the fundamental domains in computational intelligence research


Organizers

gio Giovanni Montana
giovanni.montana@kcl.ac.uk

Professor and Chair in Biostatistics and Bioinformatics, Biomedical Engineering Department, King’s College, London, UK

Giovanni Montana is Professor of Biostatistics and Bionformatics in the Department of Biomedical Engineering at King’s College London. He received a Ph.D. in Statistics from the University of Warwick in 2003, and then held a post-doctoral position at the University of Chicago. In 2004 he joined the Statistical Genetics & Biomarkers research group at Bristol-Myers Squibb, in Princeton. Prior to joining King’s College in 2013, he was Reader (Associate Professor) in Statistics in the Department of Mathematics at Imperial College London, which he joined in 2005 as GlaxosmithKline Lecturer in Statistics. He’s a Fellow of the Royal Statistical Society and Chartered Statistician, and holds a Visiting Professor position in the Department of Mathematics at Imperial College. His main research interests lie in statistical computing and machine learning with applications to biomedical data analysis, including genomic and medical imaging. He’s also actively working in Big Data analytics.

morabito Carlo Francesco Morabito
morabito@unirc.it

Professor and Chair of the Neurolab, Dipartimento DICEAM, Università Mediterranea di Reggio Calabria, Italy

Francesco Carlo Morabito is Professor of Electrical engineering and signal Processing in the Department DICEAM of the University Mediterranea of Reggio Calabria where he serves now as Vice-Rector for International and Institutional Relations. He was Visiting Researcher at the Max-Planck Institute fuer Plasma-Physics (Munich) from 1993 to 1999, working as a researcher in many international projects, among which for ASDEX-Upgrade (Munich, Germany), ITER and JET (Abingdon, UK). He taught at the 3rd Cycle (Ph.D.) level course on “Intelligent Interfaces and Systems” at the EPFL (Swiss Polytechnic Institute of Lausanne. Senior Member of IEEE and INNS. He acted as Governor of INNS from 2000 to 2012. Since 2008, he serves as President of the Italian Society of Neural Networks (SIREN). He is also the Italian Representative of the International Association for Modeling and Simulation (AMSE) and of the Intl. Society of Fuzzy Management (SIGEF). He is a Foreign Member of the Spanish Academy of Doctors (2004), and is the recipient of the Gold Medal “Henry Coanda” of the Rumanian Academy of Sciences for his research on Fuzzy Systems and Neural Networks (2003). He was recently co-editor of a special issue of Neural networks on Neuromorphic Engineering.

tagliaferri Roberto Tagliaferri
rtagliaferri@unisa.it

Professor and Chair of the Neuronelab, Dipartimento di Informatica, Università di Salerno, Italy

Roberto Tagliaferri is full Professor in Computer Science at the University of Salerno. He has had courses in Computer Architecture, Artificial and Computational Intelligence, and Bioinformatics for computer scientists and biologists. He has been co-organizer of international workshops and schools on Neural Nets, Computational Intelligence and Bioinformatics. He has been co-editor of special issues on international journals and of Proceedings of International Conferences . His research activity has been oriented to CI models and applications in the areas of Astrophysics, Biomedicine and Bioinformatics. He is chair of the IEEE CIS Italy Chapter.