Organizers
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Shogo Okada (leading organizer), okada@ntt.dis.titech.ac.jp |
Shogo Okada received the M.S. degree and Ph.D.degree in Engineering from Tokyo Institute of Technology in 2005 and 2008 respectively. He have worked in Kyoto University as an project assistant professor from 2008 to 2011. He is now a assistant professor at Tokyo Institute of Technology. His recent work has developed statistical machine learning algorithms for data mining of human activity.
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Seiichi Ozawa ozawasei@kobe-u.ac.jp |
Seiichi Ozawa is a professor in the Department of Electrical and Electronic Engineering at Graduate School of Engineering, Kobe University, Kobe, Japan. He received his Ph.D. degree in computer science from Kobe University. He is an associate editor of the three international journals including IEEE Trans. on Neural Networks and Learning Systems, a member of the Neural Networks Technical Committee (NNTC) of IEEE CIS, and a special sessions chair of WCCI2014. His current research interests are incremental learning, online feature extraction, multitask learning, and pattern recognition.
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Nicoleta Rogovschi nicoleta.rogovschi@parisdescartes.fr |
Nicoleta ROGOVSCHI received her Master of Computer Science degree from Paris 13 University in 2006 in Machine Learning. She completed her Ph.D. in Computer Science (Probabilistic Unsupervised Learning) in 2009 in the Computer Science Laboratory of Paris 13 University. She is currently an Associate Professor in Computer Science at the Paris Descartes University. She’s research is with the Data Mining (GFD) Team. Her research interests include Probabilistic Learning, Unsupervised Learning, Clustering and Co-Clustering methods for different types of data. She is also a member of EGC, AFIA, IEEE, INNS, INNS AML group.
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Nistor Grozavu nistor@lipn.univ-paris13.fr |
Nistor GROZAVU received his Master of Computer Science degree from Marseille II University in 2006 in Fundamental Informatics. He completed his Ph.D. in Computer Science (Unsupervised Learning) in 2009 in the Computer Science Laboratory of Paris 13 University. He is currently an Associate Professor in Computer Science at the Paris 13 University. His research is with the Machine Learning and Application Team from the LIPN Laboratory. His research interests include Unsupervised Learning, Transfer Learning, Dimensionality reduction, Collaborative Learning, Machine Learning by Matrix Factorization and content based information retrieval. He is also a member of IEEE, INNS, INNS AML group.