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Invited Speakers
| Recent Adventures with Grammar-based Genetic Programming |
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Dr. Michael O'Neill
Director,UCD NCRAG
University College Dublin
Ireland |
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Following an introduction to grammar-based Genetic Programming, with
a particular emphasis on Grammatical Evolution, we outline recent adventures
in this domain. Highlights of both the research and real-world applications of
grammar-based Genetic Programming by UCD's Natural Computing
Research & Applications group are presented.
Dr. O'Neill is a founder of the UCD Natural Computing Research Applications group with Prof. Anthony Brabazon, and is a Senior Lecturer in the UCD School of Computer Science & Informatics. He is the lead author of the seminal book on Grammatical Evolution, and is independently ranked as one of the top 10 researchers in Genetic Programming.
Dr. O'Neill has published in excess of 200 peer-reviewed publications including 3 Monographs. In 2009 he published the second book on Grammatical Evolution, "Foundations in Grammatical Evolution for Dynamic Environments" with Ian Dempsey and Anthony Brabazon, and in 2006 he published the book on "Biologically Inspired Algorithms for Financial Modelling" with Prof. Brabazon. He has over 1500 citations, and a H-index of 18. Dr. O'Neill has co-authored a number of successful funding applications with a total value over €7 Million.
More information can be found at http://www.ucd.ie/research/people/computerscienceinformatics/drmichaeloneill
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| Fuzzy rule-based classification systems and their application in the medical domain |
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Dr. Gerald Schaefer
Department of Computer Science
Loughborough University
United Kingdom |
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Many medical applications contain a decision making process which can be regarded as a pattern classification problem. In the literature many pattern classification techniques have been introduced ranging from statistical methods to intelligent soft computing techniques. In my talk I will focus on the latter, and in particular on fuzzy rule-based classifiers. I will highlight a particular group of fuzzy classifiers, show how a fuzzy rule base can be turned into a cost-sensitive classifier and present how a compact yet effective rule base can be derived through the application of genetic algorithms. Finally, I will show how these classifiers can be employed in a number of medical applications including the analysis of breast cancer data and gene expression analysis.
Dr. Schaefer gained his BSc. in Computing from the University of Derby and his PhD in Computer Vision from the University of East Anglia. He worked at the Colour & Imaging Institute, University of Derby (1997-1999), in the School of Information Systems, University of East Anglia (2000-2001), in the School of Computing and Informatics at Nottingham Trent University (2001-2006), and in the School of Engineering and Applied Science at Aston University (2006-2009) before joining the Department of Computer Science at Loughborough University. His research interests are mainly in the areas of image analysis, computer vision and computational intelligence. He has published extensively in these areas with a total publication count exceeding 200. He is a member of the editorial board of several international journals, reviews for over 50 journals and served on the programme committee of about 150 conferences. He has been invited as plenary speaker to several conferences, is the organiser of some international workshops and special sessions at conferences, and the editor of several books and special journal issues.
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| Fractals in Physics |
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Prof. Oldrich Zmeskal
Professor, Institute of Physical and Applied Chemistry
Brno University of Technology
Czech Republic |
This contribution is concerned with using of fractal theory for the description of elementary stationary physical (e.g. gravitational, electric) of spherical and torus fields. This theory, defined generally in E-dimensional Euclidean space, was applied for description of stationary effects in one, two and three dimensional space respectively. Other extension of fractal theory is presented in the area of so – called pseudo-Euclidean coordinates, where E-dimensional space consists of p Euclidean and q pseudo Euclidean dimensions (space-time).
Prof. Oldrich Zmeskal is author of about 15 program products, 12 titles of textbooks (Physics, Physical Chemistry, Computer Science), 7 chapters in books (Computer Science), 30 articles published in international journals, about 15 lectures and 30 posters on Czech and international Computing Research & Applications group are presented.
Cooperation with Czech and international research and industrial enterprises, research in the field of characterization and application of organic semiconductors and thermoelectric properties of material, fractal physics. Preparation and characterization of organic semiconductors and other organic materials suitable for optoelectronic applications; electronic properties of these materials such as space charge limited current, impedance spectroscopy, ellipsometry and interference microscopy.
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