
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
Organized by M. Atencia, Univ. Malaga, Spain

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 