Wednesday 27 April 2005  
8h30  Registration 
9h00  Opening 
Session1: Clustering, quantization, and selforganization  
09h10  Architecture of emergent selforganizing maps to reduce projection errors 
A. Ultsch, L. Herrman, Univ. Marburg (Germany)  
09h30  A new learning algorithm for incremental selforganizing maps 
Y. Prudent, A. Ennaji, PSI Lab. (France  
09h50  The dynamics of Learning Vector Quantization 
M. Biehl, A. Ghosh, Univ. Groningen (The Netherlands), B. Hammer, Clausthal Univ. Tech. (Germany)  
10h10  TreeGNG  hierarchical topological clustering 
K. Doherty, R. Adams, N. Davey, Univ. Hertfordshire (U.K.)  
10h30  Coffee break 
Special
session 2: Dynamical and Numerical Aspects of Neural Computing 

10h50  Two or three things that we (intend to) know about Hopfield and Tank networks 
M. Atencia, G. Joya, F. Sandoval, Univ. Málaga (Spain)  
11h10  The Nonlinear Dynamic State neuron 
N. Crook, W. J. Goh, M. Hawarat, Oxford Brookes Univ. (U.K.)  
11h30  Stability of backpropagationdecorrelation efficient O(N) recurrent learning 
J. J. Steil, Bielefeld Univ. (Germany)  
12h10  Stochastic analysis of the Abe formulation of Hopfield networks 
M.
Kratz, Univ. René Descartes, Paris V (France), M. Atencia, G. Joya,
Univ. Málaga (Spain) Poster spotlights 

Poster spotlights  
12h30  Using generic neural networks in the control and prediction of grasp postures 
F. Carenzi, P. Gorce, LESP, Y. Burnod, M. Maier, Inserm (France)  
12h31  Exponential stability of stochastic cellular neural networks 
M. Joy, Kingston Univ. (U.K.)  
12h35  Lunch 
Session 3: Learning  
14h00  Organization properties of open networks of cooperative neuroagents 
J.P. Manu, P. Glize, Univ. Paul Sabatier (France)  
14h20  A ridgelet kernel regression model using genetic algorithm 
S. Yang, M. Wang, L. Jiao, Xidian Univ. (China)  
14h40  Boosting by weighting boundary and erroneous samples 
V. GómezVerdejo, M. OrtegaMoral, J. ArenasGarcía, A. R. FigueirasVidal, Univ. Carlos III de Madrid (Spain)  
Special
session 4: Artificial Neural Networks and Prognosis in Medicine Organized by J.M. Jerez, Univ. Malaga, Spain, L. Franco, Univ. Oxford, U.K. 

15h00  Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients 
J. Jerez, Univ. Málaga (Spain), L. Franco, Oxford Univ. (U.K.), E. Alba, Hosp. Univ. Málaga (Spain)  
15h20  An artificial neural network for analysing the survival of patients with colorectal cancer 
R. Bittern*, A. Cuschieri*, S. Dolgobrodov, R. Marshall, P. Moore, Univ. Manchester (England), R. Steele, *Univ.Dundee (Scotland)  
15h40  Artificial intelligence techniques for the prediction of bladder cancer progression 
M. Abbod, J. W.F. Catto, M. Chen, D. A. Linkens, F. C. Hamdy, Univ. Sheffield (U.K.)  
16h00  Artificial neural network modeling to predict extent of tumor in men with prostate cancer 
E. Gamito, C. O'Donnell*, T. Ashutosh, Cornell Univ. (USA), D. Crawford, *Univ. Colorado (USA)  
16h20  Computational models of ICSI prognosis 
H. Liu, A. Kshirsagar*, J. Ku, D. Lamb, Baylor Coll. Medicine (USA), C. Niederberger, *Univ. Illinois Chicago (USA)  
16h40  Handling outliers and missing data in brain tumour clinical assessment using tGTM 
A. Vellido*, P. J.G. Lisboa, Liverpool John Moores Univ. (England), D. Vicente, *Polytec. Univ. Catalonia (Spain)  
Poster spotlights  
17h00  Predicting bed demand in a hospital using neural networks and arima models: a hybrid approach 
M. Joy, S. Jones, Kingston Univ. (U.K.)  
17h01  Functional topographic mapping for robust handling of outliers in brain tumour data 
A. Vellido, Polytec. Univ. Catalonia (Spain), P. J.G. Lisboa, Liverpool John Moores Univ. (England)  
17h02  Relevance learning for mental disease classification 
B. Hammer, Clausthal Univ. Tech. (Germany), A. Rechtien, Univ. Osnabrueck (Germany), M. Strickert, IPK (Germany), T. Villmann, Univ. Leipzig (Germany)  
17h03  Automatic classification of prostate cancer using pseudogaussian radial basis function neural network 
O. Valenzuela, I. Rojas, F. Rojas, L. Marquez, Univ. Granada (Spain)  
Session 5: Posters I  
17h04  Artificial neural network fusion: Application to Arabic words recognition 
N. Farah, M. T. Khadir, Univ. Badji Mokhtar Annaba (Algeria)  
17h05  Adaptive Simultaneous Perturbation Based Pruning Algorithm for Neural Control Systems 
J. Ni, O. Song, Nanyang Tech. Univ. (Singapore)  
17h06  Modified backward feature selection by cross validation 
S. Abe, Kobe Univ. (Japan)  
17h07  Initialisation improvement in engineering feedforward ANN models 
A. Krimpenis, G.C. Vosniakos, Nat. Tech. Univ. Athens (Greece)  
17h08  An Online Fisher Discriminant 
M. OrtegaMoral, V. GómezVerdejo, J. ArenasGarcía, A. R. FigueirasVidal, Univ. Carlos III de Madrid (Spain)  
17h09  Averaging on Riemannian manifolds and unsupervised learning using neural associative memory 
D. Nowicki, O. Dekhtyarenko, Nat. Acad. Sci. (Ukraine)  
17h10  A Stability Condition for Neural Network Control of Uncertain Systems 
P. Clawom, Rajamangala Inst. Tech., S. Kuntanapreeda, King Mongkuts Inst. Tech. North Banghkok (Thailand)  
17h11  A new approach based on waveletica algorithms for fetal electrocardiogram extraction 
B. Azzerboni, F. La Foresta*, Univ. Messina, , N. Mammone, F. C. Morabito, *Univ. Mediterranea of Reggio Calabria (Italy)  
17h12  Graphbased normalization 
C. Aaron, Univ. Paris 1 (France)  
17h13  Domain expert approximation through oracle learning 
J. Menke, T. Martinez, Brigham Young Univ. (USA)  
17h14  Generalised Cross Validation for NoiseFree Data 
T. Dodd, T. Ladoni, Univ. Sheffield (U.K.)  
17h15  Coffee break and poster preview 
Thursday 28 April 2005  
Session 6: Perceptrons and MultiLayer Perceptrons  
09h00  Neural network classification using Shannon's entropy 
L. Silva, J. M. Sá, Univ. Porto (Portugal), L. Alexandre, IT Covilhã (Portugal)  
09h20  Efficient estimation of multidimensional regression model with multilayer perceptron 
J. Rynkiewicz, Univ. Paris I (France)  
09h40  Performance of EMI based mine detection using backpropagation neural networks 
M. Draper, T. Kocak, Univ. Central Florida (USA)  
10h00  Perceptron Learning with Discrete Weights 
J. M. Sá, C. Felgueiras, Univ. Porto (Portugal)  
10h20  Coffee break 
Special
session 7: Evolutionary and neural computation Organized by C. Igel, RuhrUniv. Bochum, B. Sendhoff, Honda Research Inst. Europe (Germany) 

10h50  Synergies between Evolutionary and Neural Computation 
C. Igel, RuhrUniv. Bochum, B. Sendhoff, Honda Research Inst. Europe (Germany)  
11h10  Evolutionary framework for the construction of diverse hybrid ensembles 
A. Chandra, X. Yao, Univ. Birmingham (U.K.)  
11h30  Efficient reinforcement learning through Evolutionary Acquisition of Neural Topologies 
Y. Kassahun, G. Sommer, Christian Albrechts Univ. (Germany)  
11h50  Evolving neural networks: Is it really worth the effort? 
J. Bullinaria, Univ. Birmingham (U.K.)  
Poster spotlights  
12h10  Efficient evolutionary optimization using individualbased evolution control and neural networks: A comparative study 
L. Graening, Tech. Univ. Ilmenau, Y. Jin, B. Sendhoff, Honda Res. Inst. Europe (Germany)  
12h11  Applications of multiobjective structure optimization 
A. Gepperth, S. Roth, RuhrUniv. Bochum (Germany)  
12h15  Lunch 
Session 8: Independent Component Analysis  
13h45  Empirical evidence of the linear nature of magnetoencephalograms 
A. Honkela, T. Östman, R. Vigário, Helsinki Univ. Tech. (Finland)  
14h05  To apply score function difference based ICA algorithms to highdimensional data 
K. Zhang, L.W. Chan, Chinese Univ. Hong Kong (China)  
14h25  Generative Independent Component Analysis for EEG classification 
S. Chiappa, D. Barber, IDIAP Res. Inst. (Switzerland)  
Special
session 9: Classification using nonstandard metrics Organized by B. Hammer, Clausthal Univ. Tech., T. Villmann, Univ. Leipzig (Germany) 

14h45  Classification using nonstandard metrics 
B. Hammer, Clausthal Univ. Tech., T. Villmann, Univ. Leipzig (Germany)  
15h15  Clustering using a random walk based distance measure 
L. Yen, D. Vanvyve, F. Wouters, F. Fouss, M. Verleysen, M. Saerens, Univ. cat. Louvain (Belgium)  
15h35  A probabilistic framework for mismatch and profile string kernels 
A. Vinokourov*, A. Soklakov, Royal Holloway, Univ. London, C. Saunders, *Univ. Southampton (U.K.)  
15h55  Generalized Relevance LVQ with Correlation Measures for Biological Data 
M. Strickert, N. Sreenivasulu, W. Weschke, U. Seiffert, IPKGatersleben T. Villmann, Univ. Leipzig (Germany)  
Poster spotlights  
16h15  NonEuclidean metrics for similarity search in noisy datasets 
D. Francois, V. Wertz, M. Verleysen, Univ. cat. Louvain (Belgium)  
16h16  Fuzzy ROC Curves for the One Class SVM: Application to Intrusion Detection 
P. Evangelista, P. Bonissone, M. Embrechts, B. Szymanski, Rensselaer Polyt. Inst. (USA)  
16h17  Fuzzy Proximal Support Vector Classification via Generalized Eigenvalues 
J. Jayadeva, R. Khemchandani, S. Chandra, Indian Inst. Tech. Delhi (India)  
16h18  Usage Guided Clustering of Web Pages with the Median Self Organizing Map 
F. Rossi, A. El Golli, Y. Lechevallier, INRIA Rocquencourt (France)  
16h19  Mixed Topological Map 
M. Lebbah*, A. Chazottes*, F. Badran, CNAM (France), S. Thiria, *Univ. Paris 6 France)  
16h20  Linear algebra for time series of spikes 
A. Carnell, R. Daniel, University of Bath (U.K.)  
Session 10: Posters II  
16h21  Relevance determination in reinforcement learning 
K. Tluk v. Toschanowitz*, B. Hammer, Clausthal Univ. Tech., H. Ritter, *Univ. Bielefeld (Germany)  
16h22  Feature selection for highdimensional industrial data 
M. Bensch, M. Schröder, M. Bogdan, W. Rosenstiel, EberhardKarlsUniv. Tübingen (Germany)  
16h23  Adaptive robot learning in a nonstationary environment 
K. Främling, Helsinki Univ. Tech. (Finland)  
16h24  Phase transition in sparse associative neural networks 
O. Dekhtyarenko, Nat. Acad. Sci. (Ukraine), T. Valery, C. Fyfe, Univ. Paisley (Scotland)  
16h25  Neuromimetic model of interval timing 
C. Touzet, P. Demoulin, Univ. Provence, B. Burle*, F. Vidal, IMNSSA, F. Macar, *Lab. Neurobiologie Cognition (France)  
16h26  Contextual Processing of Graphs using SelfOrganizing Maps 
M. Hagenbuchner, Univ. Wollongong (Australia), A. Sperduti, Univ. Padova (Italy), A. C. Tsoi, Australian Res. Council (Australia)  
16h27  Structural feature selection for wrapper methods 
G. Bontempi, Univ. Libre Bruxelles (Belgium)  
16h28  Coverageperformance estimation for classification with ambiguous data 
T. Trappenberg, Dalhousie Univ. (Canada)  
16h29  UWB radar target identification based on linear RBFNN 
M. Wang, S. Yang, Xidian Univ. (China)  
16h20  Coffee break and poster preview 
Friday 29 April 2005  
Session 11: Biologically inspired models  
09h00  A multimodular associator network for simple temporal sequence learning and generation 
L. Michael, T. Trappenberg, A. Fine, Dalhousie Univ. (Canada)  
09h20  Attractor neural networks with patchy connectivity 
C. Johansson, M. Rehn, A. Lansner, Royal Inst. Tech. (Sweden)  
09h40  Isolated word recognition using a Liquid State Machine 
D. Verstraeten, B. Schrauwen, Ghent Univ. (Belgium)  
10h00  New evidences for sparse coding strategy employed in visual neurons: from the image processing and nonlinear approximation viewpoint 
S. Tan, L. Jiao, Inst. Intelligent Information Proc. (China)  
10h20  Coffee break 
Special
session 12: Kernel methods and the exponential family Organized by A. Smola, National ICT (Australia), S. Canu, INSA Rouen (France) 

10h40  The exponential family and Kernels for learning 
A. Smola, National ICT (Australia), S. Canu, INSA Rouen (France)  
11h10  Joint Regularization 
K. M. Borgwardt, LudwigMaximiliansUniv. (Germany), O. Guttman, S.V.N. Vishwanathan, A. Smola, National ICT (Australia)  
11h30  A Class of Kernels For Sets of Vectors 
F. Desobry*, M. Davy, CNRS  LAGIS (France), W. Fitzgerald, *Univ. Cambridge (U.K.)  
11h50  Support Vector Machine For Functional Data Classification 
N. Villa, Univ. Toulouse Le Mirail, F. Rossi, INRIA Rocquencourt (France)  
12h10  Translation invariant classification of nonstationary signals 
V. Guigue, A. Rakotomamonjy, S. Canu, PSI laboratory (France)  
12h30  Lunch 
Session 13: Applications  
14h00  Chemical similarity searching using a neural graph matcher 
S. Klinger, J. Austin, Univ. York (U.K.)  
14h20  SVM and patternenriched common fate graphs for the game of go 
L. Ralaivola, L. Wu, P. Baldi, Inst. Genomics Bioinformatics (USA)  
14h40  Using CMU PIE Human Face Database to a Convolutional Neural Network  Neocognitron 
J. H. Saito*, T. V. de Carvalho*, M. Hirakuri*, A. Saunite*, A. N. Ide, Univ. Genoa (Italy), S. Abib, *Federal Univ. São Carlos (Brazil)  
15h00  Morphological memories for feature extraction in hyperspectral images 
M. Graña, A. d'Anjou, X. Albizuri, Univ. Pais Vasco (Spain)  
Session 14: Posters III  
15h20  Mutual information and gamma test for input selection 
N. Reyhani, J. Hao, Y. Ji, A. Lendasse, Helsinki Univ. Tech. (Finland)  
15h21  Pruned lazy learning models for time series prediction 
A. Sorjamaa, A. Lendasse, Helsinki Univ. Tech. (Finland), M. Verleysen, Univ. cat. Louvain (Belgium)  
15h22  A new wrapper method for feature subset selection 
N. SánchezMaroño, A. AlonsoBetanzos, Univ. A Coruña, E. Castillo, Univ. Cantabria (Spain)  
15h23  Analysis of contrast functions in a genetic algorithm for postnonlinear blind source separation 
F. Rojas, C. García Puntonet, I. Rojas, Univ. Granada (Spain)  
15h24  Sparse Bayesian promoter based gene classification 
K. Khoon Lee, G. Cawley, Univ. East Anglia, M. Bevan, John Innes Inst. (U.K.)  
15h25  Graph projection techniques for SelfOrganizing Maps 
G. Pölzlbauer, A. Rauber, Vienna Univ. Tech., M. Dittenbach, ECommerce Competence Center (Austria)  
15h26  A Neural Network that helps building a Nonlinear Dynamical model of a Power Amplifier 
G. Stegmayer, Politec. Torino (Italy), O. Chiotti, Univ. Tec. Nacion. (Argentina), G. Orengo, Univ. Roma II (Italy)  
15h27  Contextual priming for artificial visual perception 
H. Guillaume, N. Denquive, P. Tarroux, LIMSICNRS (France)  
15h28  Learning to classify a collection of images and texts 
P. Saragiotis, B. Vrusias, K. Ahmad, University of Surrey (U.K.)  
15h29  SOM computing on Graphic Process Unit 
Z. Luo, L. Hongzhi, Z. Yang, X. Wu, China Univ. Geoscience Wuhan (P.R.China)  
15h30  Novel Algorithm for Eliminating the Boundary Effect in Standard SOM 
K. Marzouki, T. Yamakawa, Kyushu Inst. Tech. (Japan)  
15h31  Adalinebased estimation of power harmonics 
D. Ould Abdeslam, J. Mercklé, P. Wira, Univ. Mulhouse (France)  
15h32  Rader target recognition using SVMs with a wrapper feature selection driven by immune clonal algorithm 
X. Zhang, S. Wang, S. Tan, L. Jiao, Inst. Intelligent Information Proc. (China)  
15h33  Experimental validation of a synapse model by adding synaptic conductances to excitable endocrine cells in culture 
S. Boussa, M. Marin, F. LeFoll, A. Faure, F. Leboulanger, Univ. Havre (France)  
15h34  Ultrawideband Nearfield Adaptive Beamforming based on a RBF Neural Network 
M. Wang, S. Yang, Xidian Univ. (China)  
15h35  Support vector algorithms as regularization networks 
A. Caponnetto, L. Rosasco, F. Odone, A. Verri, Univ. Genova (Italy)  
15h36  STDP in 'small world' networks 
K. Kube, A. Herzog, B. Michaelis, A. de Lima, T. Voigt, OttovonGuerickeUniv. Magdeburg (Germany) 

15h40  Coffee break and poster preview 
17h00  End of conference 