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Keynote Lectures

Arun Ross, Michigan State University, United States
          Title: To be announced soon.

Ludmila Kuncheva, School of Computer Science, Bangor University, United Kingdom
          Title: Getting Lost in the Wealth of Classifier Ensembles?

Fabio Roli, Università degli Studi di Cagliari, Italy
          Title: To be announced soon.

 

 

To be announced soon.

Arun Ross
Michigan State University
United States


Brief Bio

Arun Ross is an Associate Professor in the Department of Computer Science and Engineering at Michigan State University (MSU) and the Director of the i-PRoBe Lab. Prior to joining MSU in 2013, he was a faculty member at West Virginia University (WVU) from 2003 to 2012. He also served as the Assistant Site Director of the NSF Center for Identification Technology and Research (CITeR) between 2010 and 2012.
Arun received the B.E. (Hons.) degree in Computer Science from the Birla Institute of Technology and Science, Pilani, India, and the M.S. and Ph.D. degrees in Computer Science and Engineering from Michigan State University. He is the coauthor of the textbook “Introduction to Biometrics” and the monograph “Handbook of Multibiometrics,” and the co-editor of “Handbook of Biometrics”. He is a recipient of the IAPR JK Aggarwal Prize, the IAPR Young Biometrics Investigator Award (YBIA), the NSF CAREER Award, and was an invited speaker at the Frontiers of Science Symposium organized by the National Academy of Sciences in November 2006. He is also a recipient of the 2005 Biennial Pattern Recognition Journal Best Paper Award and the Five Year Highly Cited BTAS 2009 Paper Award.
Arun served as a panelist at a counter-terrorism event that was organized by the United Nations Counter-Terrorism Committee (CTC) at the UN Headquarters in May 2013. He was an Associate Editor of IEEE Transactions on Information Forensics and Security (2009 – 2013), and IEEE Transactions on Image Processing (2008 – 2013). He currently serves as Area Editor of the Computer Vision and Image Understanding Journal, Associate Editor of the Image and Vision Computing Journal, and Chair of the IAPR TC4 on Biometrics.


Abstract
Available Soon.

 

 

Getting Lost in the Wealth of Classifier Ensembles?

Ludmila Kuncheva
School of Computer Science, Bangor University
United Kingdom


Brief Bio

Ludmila Kuncheva studied electrical engineering at the Technical University, Sofia, Bulgaria (1977-1982), where she obtained her MSc in 1982. She took a postgraduate course in applied mathematics, 1982-1984, followed by a PhD, received in 1987 from the Bulgarian Academy of Sciences. Until 1997 she worked at the Central Laboratory of Biomedical Engineering, Bulgarian Academy of Sciences, as a research associate and senior research associate. She worked at the ELITE laboratory (Aachen, Germany, 1993, European Mobility Grant), Imperial College (London, 1995-1996, Royal Society Fellowship) and University of West Florida (Pensacola, Florida, 1996-1997, NSF grant). Ludmila Kuncheva joined Bangor University, in 1997 as a lecturer at the School of Mathematics.  She is currently a professor at the School of Computer Science at Bangor University. Professor Ludmila Kuncheva is working in the area of pattern recognition and machine learning. She has published over 150 research papers and two books:- "Fuzzy Classifier Design, Springer, 2000.", and "Combining Pattern Classifiers. Methods and Algorithms, Wiley, 2004". She won of the best paper award for 2006 in IEEE Transactions on Fuzzy Systems and the Sage best Transaction paper award for 2003 across IEEE Transactions on Systems, Man and Cybernetics, A, B and C.  Ludmila Kunchevahas served as an AE for IEEE Transactions on Fussy Systems and for IEEE Transactions on Pattern Analysis and Machine Intelligence. She has given invited talks and lectures within the UK and abroad:- Spain, France, Italy, China, USA, The Netherlands, Bulgaria, Greece and Sweden.



Abstract

Classifier ensembles have proven their worth for solving challenging problems of modern-day pattern recognition. It is easy to get lost in the massive volume of relevant literature, the quickly growing number of new methods and algorithms being proposed, and the wide spread of the ensemble research into numerous application areas. To be able to benefit from this wealth of knowledge, we need, metaphorically speaking, beacons, anchor points, and a well-organised warehouse. At the current stage, we need tools for assessment, benchmarking, comparison and structuring, more than we need new ensemble methods. In an attempt to address these issues, this talk will discuss some of the “anchor points” such as ensemble diversity and combination strategies, and will give a bibliometric perspective on the development of the area. Finally, we will indulge in a brief speculation of what the future may hold for classifier ensembles.

 

 

To be announced soon.

Fabio Roli
Università degli Studi di Cagliari
Italy


Brief Bio

Fabio Roli is professor of computer engineering and director of the PRA Lab (http://pralab.diee.unica.it). His research over the past twenty years addressed the design of pattern recognition systems in the context of real applications. He played a leading role for the research field of multiple classifier systems. He is a prolific author with a value of h-index of 43 according to Google Scholar. He is Fellow of the IEEE and Fellow of the IAPR.


Abstract
Available Soon.

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