18 Maggio: Classification of ML techniques (2h) (file: ppt.gz)

Global, local and personalised modeling and pattern discovery in bioinformatics: An integrated approach (file: pdf)


19 Maggio:Unsupervised methods for ML (2h) (file: ppt.gz)

DENFIS: Dynamic Evolving Neural-Fuzzy Inference System and Its Application for Time-Series Prediction (file: pdf)


23 Maggio:Supervised ML methods (2h)(file: ppt.gz)


24 Maggio:Methods of evolutionary computation (EC) for ML (2h)(file: ppt.gz)


25 Maggio:Advanced ML methods (2h)(file: ppt.gz)



Text book: N.Kasabov, Evolving connectionist systems: The knowledge engineering approach, Springer, 2007

Additional readings:

N. Kasabov. Foundations of neural networks, fuzzy systems and knowledge engineering, MIT Press, 1996

N. Kasabov, Global, local and personalised modelling and profile discovery in Bioinformatics: An integrated approach, Pattern Recognition Letters, Vol. 28, 6, April 2007, 673-685

N. Kasabov, To spike or not to spike: A probabilistic spiking neural model, Neural Networks, Volume 23, Issue 1, January 2010, Pages 16-19

N. Kasabov, Evolving Intelligence in Humans and Machines: Integrative Connectionist Systems Approach, Feature article, IEEE CIS Magazine, August, 2008, vol.3, Num.3, www.ieee.cis.org, pp. 23-37


Software: NeuCom, www.theneucom.com


Biodata:

Professor Nikola Kasabov is the Director of the Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland. He holds a Chair of Knowledge Engineering at the School of Computing and Mathematical Sciences at Auckland University of Technology. He is a Fellow of IEEE and Fellow of the Royal Society of New Zealand. He is the Immediate Past President of the International Neural Network Society (INNS) and a Past President of the Asia Pacific Neural Network Assembly (APNNA). He is a member of several technical committees of IEEE Computational Intelligence Society and IFIP and Distinguished Lecturer of the IEEE CIS (2011-2013). Kasabov has served as Associate Editor of Neural Networks, IEEE TrNN, IEEE TrFS, Information Science, J. Theoretical and Computational Nanosciences, Applied Soft Computing and other journals. Kasabov holds MSc and PhD from the Technical University of Sofia, Bulgaria. His main research interests are in the areas of intelligent information systems, soft computing, neuro-computing, bioinformatics, brain study, machine learning, data mining and knowledge discovery. He has published more than 450 publications that include 15 books, 130 journal papers, 60 book chapters, 28 patents and numerous conference papers. He has extensive academic experience at various academic and research organisations: University of Otago, New Zealand; University of Essex, UK; University of Trento, Italy; Technical University of Sofia, Bulgaria; University of California at Berkeley; RIKEN and KIT, Japan; T.University Kaiserslautern, Germany, and others. Prof. Kasabov has received the FP7 Marie Curie Fellowship (2011-2012), Bayer Science Innovation Award, the RSNZ Science and Technology Silver Medal, the APNNA Excellent Service Award, the AUT VC Individual Research Excellence Award, and others. He is Invited Guest Professor at the Shanghai Jiao Tong University (2010-2012). More information of Prof. Kasabov can be found on the KEDRI web site: http://www.kedri.info.