European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning



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10th European Symposium On Artificial Neural Networks
Bruges (Belgium), 24-25-26 April 2002

Programme

Wednesday 24 April 2002
8H30 Registration
9H00 Opening
Session 1: Regression
9H10 Efficient formation of a basis in a kernel induced feature space
G.C. Cawley, N.L.C. Talbot, Univ. East Anglia (UK)
9H30 Theoretical properties of functional Multi Layer Perceptrons
F. Rossi*, B. Conan-Guez, F. Fleuret, INRIA, *Univ. Paris 9 (France)
9H50 Storing many-to-many mappings on a feed-forward neural network using fuzzy sets
R.K. Brouwer, Univ. College Cariboo (Canada)
10H10 Heteroscedastic regularised kernel regression for prediction of episodes of poor air quality
R.J. Foxall, G.C. Cawley, N.L.C. Talbot, S.R. Dorling, D.P. Mandic, Univ. East Anglia (UK)
10H30 Coffee break
Special session 2: Exploratory Data Analysis in Medicine and Bioinformatics
Organised by A. Wismüller, Ludwig-Maximilians-Univ. München, T. Villmann, Univ. Leipzig (Germany)
11H00 Exploratory Data Analysis in Medicine and Bioinformatics
A. Wismüller*, T. Villmann, Univ. Leipzig, * Ludwig-Maximilians-Univ. München (Germany)
11H20 A data visualisation method for investigating the reliability of a high-dimensional low-back-pain MLP network
M.L. Vaughn*, S.J. Taylor, M.A. Foy, A.J.B. Fogg, Princess Margaret Hospital, *Cranfield Univ. (UK)
11H40 Learning classification rules from electroencephalograms
V. Schetinin, J. Schult, Univ. Jena (Germany)
12H00 Double self-organizing maps to cluster gene expression data
D. Wang, H. Ressom, M.T. Musavi, C. Domnisoru, Univ. Maine (USA)
12H20 Lunch
Session 3: Sampling and model selection
13H50 Nonparametric importance sampling for Bayesian inference
M. Zlochin, Y. Baram, Israel Inst. Tech. (Israel)
14H10 Parametric bootstrap for asymptotic test of contrast difference in neural networks
R. Kallel, J. Rynkiewicz, Univ. Paris 1 (France)
14H30 A stepwise statistical methodology for determining the size of a neural network
A. Yanez Escolano, E. Guerrero Vazquez, P.L. Galindo Riano, J. Pizarro Junquera, Univ. Cadiz (Spain)
14H50 Coffee break
Special session 4: Neural Networks and Cognitive Science
Organised by H. Paugam-Moisy, Univ. Lyon2, D. Puzenat, Univ. Antilles-Guyane (France)
15H20 Neural networks for modelling memory : case studies
Hélène Paugam-Moisy, Didier Puzenat, Emanuelle Reynaud, Jean-Philippe Magué, Inst. Sciences Cognitives, Bron (France)
16H00 Connectionist models investigating representations formed in the sequential generation of characters
F.M. Richardson, N. Davey, L. Peters, D.J. Done, S.H. Anthony, Univ. Hertfordshire (UK)
16H20 The problem of adaptive control in a living system or how to acquire an inverse model without the help of an external teacher
K. Th. Kalveram, T. Schinauer, Heinrich-Heine-Univ. (Germany)
Poster session: spotlights
Special session 4
16H40 Biologically-inspired human motion detection
V. Laxmi, J.N. Carter, R.I. Damper, Univ. Southampton (UK)
16H42 Why will rat's go where rats will not?
J. Hayes, V. Murphy, N. Davey, P. Smith, L. Peters, Univ. Hertfordshire (UK)
Special session 2
16H44 Improving robustness of fuzzy gene modeling
R. Reynolds, H. Ressom, M. Musavi, C. Domnisoru, Univ. Maine (USA)
Regular Session
16H46 Rule extraction from support vector machines
H. Nunez**, C. Angulo*, A. Catala*, Univ. Catalonia, *LEA-SICA (Spain), **Univ. Central (Venezuela)
16H48 Fuzzy support vector machines for multiclass problems
S. Abe, T. Inoue, Kobe Univ. (Japan)
16H50 Different criteria for active learning in neural networks: a comparative study
J. Poland, A. Zell, Univ. Tübingen (Germany)
16H52 Supervised learning in committee machines by PCA
C. Bunzmann, M. Biehl, R. Urbanczik, Univ. Würzburg (Germany)
16H54 The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals
L. Lukas, A. Devos, J.A.K. Suykens, L. Vanhamme, S. Van Huffel, A.R. Tate*, C. Majos**, C. Arus***, K.U.Leuven (Belgium), *St. George's Hospital (UK), **IDI, ***Univ. Aut. Barcelona (Spain)
16H56 Clustering in data space and feature space
D. MacDonald, C. Fyfe, Univ. Paisley (Scotland)
16H58 Maximum likelihood Hebbian rules
C. Fyfe, E. Corchado, Univ. Paisley (Scotland)
17H00 Fast exact leave-one-out cross-validation of least-squares Support Vector Machines
K. Saadi, G.C. Cawley, N.L.C. Talbot, Univ. East Anglia (UK)
17H02 Noise derived information criterion for model selection
J. Pizarro, P. Galindo, E. Guerrero, A. Yanez, Univ. Cadiz (Spain)
17H04 An unified framework for 'All data at once' multi-class Support Vector Machines
C. Angulo, X. Parra, A. Catala, Tech. Univ. Catalonia (Spain)
17H06 Prediction of mental development of preterm newborns at birth time using LS-SVM
L. Ameye, C. Lu, L. Lukas, J. De Brabanter, J.A.K. Suykens, S. Van Huffel, H. Daniels, G. Naulaers, H. Devlieger, K.U. Leuven (Belgium)
17H08 Poster preview

Thursday 25 April 2002
Special session 5: Representation of high-dimensional data
Organised by A. Guérin-Dugué, CLIPS, and J. Hérault, LIS Grenoble (France)
09H00 Searching for the embedded manifolds in high-dimensional data, problems and unsolved questions
J. Hérault, Anne Guérin-Dugué*, Pierre Villemain, LIS Grenoble, * CLIPS Grenoble (France)
09H40 Curvilinear Distance Analysis versus Isomap
J.A. Lee, A. Lendasse, M. Verleysen, Univ. cat. Louvain (Belgium)
10H00 Fast nonlinear dimensionality reduction with topology representing networks
J.J. Verbeek, N. Vlassis, B. Krose, Univ. Amsterdam (Netherlands)
10H20 When does geodesic distance recover the true hidden parametrization of families of articulated images?
D. Donoho, C. Grimes, Stanford Univ. (USA)
10H40 How to generalize geometric ICA to higher dimensions
F.J. Theis, E.W. Lang, Univ. Regensburg (Germany)
Poster session: spotlights
Special session 5
11H00 Neural dimensionality reduction for document processing
M. Delichère*, D. Memmi, IMAG Grenoble, *Amoweba Annecy (France)
Regular Session
11H02 Geometric overcomplete ICA
F.J. Theis, E.W. Lang, Univ. Regensburg (Germany)
11H04 Advantages and drawbacks of the Batch Kohonen algorithm
J.-C. Fort*, P. Letremy, M. Cottrell, Univ. Paris I, *Univ. Nancy I (France)
11H06 Mobile radio access network monitoring using the self-organizing map
P. Lehtimäki, K. Raivio, O. Simula, Helsinki Univ. Tech. (Finland)
11H08 Evaluating the impact of multiplicative input perturbations on radial basis function networks
J.L. Bernier, J. Gonzales, A. Canas, A.F. Diaz, F.J. Fernandez, J. Ortega, Univ. Granada (Spain)
11H10 Learning sparse representations of three-dimensional objects
G. Peters*, C. von der Malsburg, Ruhr-Univ. Bochum, *Univ. Dortmund (Germany)
11H12 An estimation model of pupil size for 'Blink Artifact' and it's applications
M. Nakayama*, Y. Shimizu, Nat. Inst. Educational Policy Res., *Tokyo Inst. Tech (Japan)
11H14 Novelty detection for strain-gauge degradation using maximally correlated components
G. Hollier, J. Austin, Univ. York (UK)
11H16 Modeling efficient conjunction detection with spiking neural networks
S.M. Bohte, J.N. Kok*, H. La Poutré**, CWI, *Leiden Univ., **TU Eindhoven (Netherlands)
11H18 Segmental duration control by time delay neural networks with asymmetric causal and retro-causal information flows
C. Erden, H.G. Zimmermann, Siemens AG (Germany)
11H20 Neural predictive coding for speech discriminant feature extraction: The DFE-NPC
M. Chetouani, B. Gas, J.L. Zarader, C. Chavy, Univ. Paris VI (France)
11H22 Multiresolution codes for scene categorization
N. Denquive, P. Tarroux*, CNRS, *ENS (France)
11H24 Evaluation of gradient descent learning algorithms with adaptive and local learning rate for recognising hand-written numerals
M. Giudici, F. Queirolo, M. Valle, Univ. Genova (Italy)
11H26 Poster preview and coffee break
12H15 Lunch
Session 6: Learning
13H45 Batch-RLVQ
B. Hammer*, T. Villmann, Univ. Leipzig, *Univ. Osnabrück (Germany)
14H05 Combining gestural and contact information for visual guidance of multi-finger grasps
G. Heidemann, H. Ritter, Univ. Bielefeld (Germany)
14H25 Separation of a mixture of signals using linear filtering and second order statistics
A.M. Tomé, Univ. Aveiro (Portugal)
14H45 Sparse image coding using an asynchronous spiking neural network
L. Perrinet, M. Samuelides, Univ. Paul Sabatier (France)
15H05 Coffee break
Special session 7: Hardware and Parallel Computer Implementations of Neural Networks
Organised by U. Seiffert, Univ. Magdeburg (Germany)
15H30 Artificial Neural Networks on Massively Parallel Computer Hardware
U. Seiffert, Univ. Magdeburg (Germany)
16H00 PCNN neurocomputers - Event driven and parallel architectures
C. Grassmann, T. Schoenauer, C. Wolff, Infineon Technologies (Germany)
16H20 A reconfigurable SOM hardware accelerator
M. Porrmann, M. Franzmeier, H. Kalte, U. Witkowski, U. Rückert, Univ. Paderborn (Germany)
16H40 Stochastic resonance and finite resolutions in a leaky integrate-and-fire neuron
N. Mtetwa, L.S. Smith, A. Hussain, Univ. Stirling (Scotland)
17H00 Hardware solutions for implementation of neural networks in High Energy Physics triggers
J.-C. Prévotet, B. Denby, P. Garda, B. Granado, C. Kiesling, Univ. Paris VI (France)

Friday 26 April 2002
Special session 8: Perspectives on Learning with Recurrent Networks
Organised by B. Hammer, Univ. Osnabrück, J.J. Steil, Univ. Bielefeld (Germany)
09H00 Perspectives on learning with recurrent neural networks
B. Hammer*, J.J. Steil, Univ. Bielefeld, * Univ. Osnabrück (Germany)
09H30 DEKF-LSTM
F.A. Gers*, J.A. Perez-Ortiz**, D. Eck, J. Schmidhuber, IDSIA (Switzerland), *Mantik Bioinformatik, Berlin (Germany), **Univ. Alacant (Spain)
09H50 Generalization by structural properties from sparse nested symbolic data
M. Boden, Halmstad Univ. (Sweden)
10H10 Estimating probabilities for unbounded categorization problems
J. Henderson, Univ. Geneva (Switzerland)
10H30 A general framework for unsupervised processing of structured data
B. Hammer*, A. Micheli, A. Sperduti, Univ. Pisa (Italy), *Univ. Osnabrück (Germany)
Poster session: spotlights
Special session 8
10H50 Undershooting: modeling dynamical systems by time grid refinements
H.G. Zimmermann, R. Neuneier, R. Grothmann, Siemens AG Munich (Germany)
10H52 Learning in a chaotic neural network
N. Crook, T. olde Scheper, Oxford Brookes Univ. (UK)
10H54 Yield curve forecasting by error correction neural networks and partial learning
H.G. Zimmermann, Ch. Tietz, R. Grothmann, Siemens AG Munich (Germany)
10H56 Extended Kalman Filter trained Recurrent Radial Basis Function Network in Nonlinear System Identification
B. Todorovic*, M. Stankovic*, C. Moraga, Univ. Dortmund (Germany), *Univ. Nis (Yugoslavia)
Regular Session
10H58 State reconstruction of piecewise linear maps using a clustering machine
G. Millerioux, G. Bloch, Centre Rech. Automatique Nancy (France)
11H00 Unsupervised classifier for monitoring and diagnostic of time series
S. Lecoeuche, USTL & EIPC (France)
11H02 Width optimization of the Gaussian kernels in Radial Basis Function Networks
N. Benoudjit, C. Archambeau, A. Lendasse, J. Lee, M. Verleysen, Univ. cat Louvain (Belgium)
11H04 High frequency forecasting with associative memories
A. Pasley, J. Austin, Univ. York (UK)
11H06 Nonlinear PCA: a new hierarchical approach
M. Scholz, R. Vigario*, Fraunhofer Inst. (Germany), *NN Research Centre (Finland)
11H08 Probabilistic derivation and Multiple Canonical Correlation Analysis
P.L. Lai, York Univ. (UK)
11H10 Orthogonal transformations for optimal time series prediction
M. Salmeron, A. Prieto, J. Ortega, C.G. Puntonet, M. Rodriguez Alvarez, Univ. Granada (Spain)
11H12 Neuro-fuzzy methodologies for the clustering and the reliability estimation of olive fruit fly infestation
E. Bellei, R. Petacchi*, L. Reyneri, Polit. Torino, *Scuola Sup. S. Anna Pisa (Italy)
11H14 Use of artificial neural networks process analyzers: a case study
H. Al-Duwaish, L. Ghouti, T. Halawani, M. Mohandes, King Fahd Univ. of Petroleum and Minerals (Saudi Arabia)
11H16 Poster preview and coffee break
Session 9: Information extraction
12H00 Forecasting using twinned principal curves
Y. Han, C. Fyfe, Univ. Paisley (Scotland)
12H20 Kernel Temporal Component Analysis
D. Martinez, A. Bray, LORIA-CNRS (France)
12H40 Exploratory Correlation Analysis
J. Koetsier, D. MacDonald, D. Charles, C. Fyfe, Univ. Paisley (Scotland)
13H00 Lunch
Special session 10: Neural Network Techniques in Fault Detection and Isolation
Organised by S. Simani, Univ. Ferrara (Italy)
14H15 Neural networks for fault diagnosis and identification of industrial processes
S. Simani, C. Fantuzzi, Univ. Ferrara (Italy)
14H55 Neural networks for fault diagnosis of industrial plants at different working points
S. Simani*, R. J. Patton, Univ. Hull (UK), *Univ. Ferrara (Italy)
15H15 Fault diagnosis of an electro-pneumatic valve actuator using neural networks with fuzzy capabilities
F.J. Uppal, R.J. Patton, Univ. Hull (UK)
15H35 Non-linear Canonical Correlation Analysis using a RBF networks
S. Kumar, E.B. Martin, J. Morris, Univ. Newcastle (UK)
15H55 Free-swinging and locked joint fault detection and isolation in cooperative manipulators
R. Tinos, M. H. Terra, Univ. Sao Paulo (Brazil)
16H25 Coffee break - end of conference

For any information: Michel Verleysen - esann@uclouvain.be