Keynote Speaker
| Speaker Name | Prof. Michal Wozniak |
| Title of Talk | Hybrid Classifiers – Theory and Practise |
Biography
Dr. Michal Wozniak is a professor of computer science at the Department of Systems and Computer Networks, Wroclaw University of Technology, Poland. He received M.Sc. degree in biomedical engineering from the Wroclaw University of Technology in 1992, and Ph.D. and D.Sc. (habilitation) degrees in computer science in 1996 and 2007, respectively, from the same university. His research focuses on machine learning, distributed algorithms, and teleinformatics. Prof. Wozniak has published over 220 papers and two books, and edited eight books. He has been involved in several research projects related to the above-mentioned topics and has been a consultant of several commercial projects for well-known Polish companies and public administration. Prof. Wozniak is a senior member of the IEEE and a member of the International Biometric Society. More info
Talk description
The main aim of this talk is to deliver a either definite or compact knowledge on how hybridization can help improving the quality of computer classification systems. The talk is based on his recently published book on Hybrid classifiers: Method of Data, Knowledge, and Data Hybridization, Springer, 2014. In order to make readers clearly realize the knowledge of hybridization, this book primarily focuses on introducing the different levels of hybridization and illuminating what problems we will face with as dealing with such projects. In the first instance the data and knowledge incorporated in hybridization were the action points, and then a still growing up area of classifier systems known as combined classifiers was considered.