2003 International
Joint Conference on Neural Networks
Tutorials at IJCNN 2003
TUTORIAL SCHEDULE, July 20, 2003.
(A) Biomedical applications:
Morning
1. 7:45-9:45 a.m. - Baldi
2. 10am-12noon - Kasabov
Afternoon
3. 1-3 pm - Kozma and Freeman
4. 3:15-5:15 pm - McKeown
Evening
5. 6:15-8:15 - Ruppin
6. 8:15-10:15 - Taylor
(B) Engineering applications:
Morning
7. 7:45-9:45 am - Dudnikov,
8. 10am-12noon - Eleuteri-Masulli-Tagliaferro
Afternoon
9. 1-3 pm - O'Brien
10. 3:15-5:15 pm - Thaler
Evening
11. 6:15-8:15 pm - Uncini
12. 8:15-10:15 pm - Widrow
13. 8:15-10:15 pm - Wang
(C) Learning algorithms:
Morning
14. 7:45-9:45 am - Beiu-Quintana-Avedillo
15. 10 am-12 noon - Hild
Afternoon
16. 1-3 pm - Roy
17. 3:15-5:15 pm - Suykens
Evening
18. 6:15-8:15 pm - Cherkassky
19. 8:15-10:15 pm - Xu
List of tutorial leaders and tutorial titles:
Bernard Widrow - Neural control systems
Pierre Baldi - Prediction of Protein Structures on a Proteomics Scale
Using Machine Learning Approaches
Ken Hild - Information Theoretic Learning
Vladimir Cherkassky - Signal and image denoising using VC learning
theory
John G. Taylor - Attention and Consciousness as Control System
Components in the Brain
Martin McKeown - A survey of blind source separation techniques applied to
clinical data
V. Beiu, J.M. Quintana, M.J. Avedillo - Threshold Logic From TTL To
Quantum Computing
Eytan Ruppin - Evolutionary Autonomous Agents: A Novel Neuroscience
Research Paradigm
Antonio Eleuteri, Francesco Masulli, Roberto Tagliaferro - Learning with
multiple machines: ECOC models vs Bayesian Framework
Johan Suykens - Least Squares Support Vector Machines
Asim Roy - Autonomous Learning: the New Connectionist Algorithms
Robert Kozma and Walter J Freeman - Neuropercolation: Dynamical Memory
Neural Networks Biological Systems and Computer Implementations
Nik Kasabov - Data Mining and Knowledge Discovery Using Adaptive Neural
Networks
Aurelio Uncini - Processing of audio signal by neural networks
Lei Xu - Dependence Structure Mining, Statistical Approaches,
and Bayesian Ying-Yang Learning
Amie J. OBrien - Fuzzy Logic and Expert Systems: An Introduction with
BioMedical Applications
Stephen Thaler - AI's Best Bet: The Creativity Machine Paradigm
Wang Shoujue - Biomimetic Classifications
Evgeny E. Dudnikov - Linear Attractor Networks for solving linear
equations and optimization problems