The European Symposium on Artificial Neural Networks 2003 (original) (raw)

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ESANN 2003: Bruges, Belgium

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  • Links between neural networks and webs
  • Mathematical aspects of neural networks
  • New directions in support vector machines and kernel based learning
  • Biologically plausible learning
  • Classification
  • Industrial and agronomical applications of neural networks
  • Digital image processing with neural networks

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• 
  11th European Symposium on Artificial Neural Networks, ESANN 2003, Bruges, Belgium, April 23-25, 2003, Proceedings. 2003

Links between neural networks and webs

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  Michelangelo Diligenti, Marco Gori, Marco Maggini, Franco Scarselli, Ah Chung Tsoi:
  An introduction to learning in web domains. 1-8
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  Minoru Nakayama, Yasutaka Shimizu:
  Subject Categorization for Web Educational Resources using MLP. 9-14
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  Masahiro Kimura, Kazumi Saito, Naonori Ueda:
  Modeling of growing networks with directional attachment and communities. 15-20

Self-organization and topology representation

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  Michaël Aupetit:
  High-dimensional labeled data analysis with Gabriel graphs. 21-26
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  Marc Strickert, Barbara Hammer:
  Unsupervised Recursive Sequence Processing. 27-32
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  Gilles Hermann, Patrice Wira, Jean-Philippe Urban:
  Neural networks organizations to learn complex robotic functions. 33-38
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  Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas:
  Self-organizing maps and functional networks for local dynamic modeling. 39-44
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  Michaël Aupetit:
  Robust Topology Representing Networks. 45-50
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  Alberto Muñoz, Manuel Martín-Merino:
  Visualizing asymmetric proximities with MDS models. 51-58

Mathematical aspects of neural networks

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  Barbara Hammer, Thomas Villmann:
  Mathematical Aspects of Neural Networks. 59-72
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  Ulf D. Schiller, Jochen J. Steil:
  On the weight dynamics of recurrent learning. 73-78
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  Brijnesh J. Jain, Fritz Wysotzki:
  A Neural Graph Isomorphism Algorithm based on local Invariants. 79-84
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  Marie Cottrell, Patrick Letrémy:
  Analyzing surveys using the Kohonen algorithm. 85-92
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  Jens Christian Claussen, Thomas Villmann:
  Magnification Control in Winner Relaxing Neural Gas. 93-98
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  Cédric Archambeau, John Aldo Lee, Michel Verleysen:
  On Convergence Problems of the EM Algorithm for Finite Gaussian Mixtures. 99-106
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  Brijnesh J. Jain, Fritz Wysotzki:
  An Associative Memory for the Automorphism Group of Structures. 107-112
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  Jianyu Li, Siwei Luo, Yingjian Qi:
  Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks. 113-118

ANN models and learning I

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  Shouji Sakamoto, Shigeko Seki, Youichi Kobuchi:
  Cellular topographic self-organization under correlational learning. 119-124
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  Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse:
  Self-Organization by Optimizing Free-Energy. 125-130
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  Guillermo Bedoya, Sergio Bermejo, Joan Cabestany:
  Comparison of neural algorithms for blind source separation in sensor array applications. 131-136
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  Rubén Martín-Clemente, Susana Hornillo-Mellado, José I. Acha, Fernando Rojas Ruiz, Carlos García Puntonet:
  Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation. 137-142
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  Vincent Vigneron, Sebastien Lagrange, Christian Jutten:
  Acceptability conditions for BSS problems. 143-148
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  Urszula Markowska-Kaczmar, Wojciech Trelak:
  Extraction of fuzzy rules from trained neural network using evolutionary algorithm. 149-154
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  Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez:
  A new rule extraction algorithm based on interval arithmetic. 155-160
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  Di Huang, Tommy W. S. Chow:
  Searching optimal feature subset using mutual information. 161-166
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  Gavin C. Cawley, Malcolm R. Haylock, Stephen R. Dorling, Clare Goodess, Phil D. Jones:
  Statistical downscaling with artificial neural networks. 167-172
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  Ahmed Hussein, Kotaro Hirasawa, Jinglu Hu:
  Online Identification and Control of a PV-Supplied DC Motor Using Universal Learning Networks. 173-178
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  Arto Kantsila, Mikko Lehtokangas, Jukka Saarinen:
  On radial basis function network equalization in the GSM system. 179-184

New directions in support vector machines and kernel based learning

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  Massimiliano Pontil:
  Reproducing kernels and regularization methods in machine learning. 185-196
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  Michiko Yamana, Hiroyuki Nakahara, Massimiliano Pontil, Shun-ichi Amari:
  On different ensembles of kernel machines. 197-201
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  Luc Hoegaerts, Johan A. K. Suykens, Joos Vandewalle, Bart De Moor:
  Kernel PLS variants for regression. 200-208
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  Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic:
  Approximately unbiased estimation of conditional variance in heteroscedastic kernel ridge regression. 209-214
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  Vojislav Kecman, Michael Vogt, Te Ming Huang:
  On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machines. 215-222
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  Kees Jong, Elena Marchiori, Aad van der Vaart:
  Finding clusters using support vector classifiers. 223-228
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  Olga Kouropteva, Oleg Okun, Matti Pietikäinen:
  Classification of handwritten digits using supervised locally linear embedding algorithm and support vector machine. 229-234
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  Kai Gersmann, Barbara Hammer:
  Improving iterative repair strategies for scheduling with the SVM. 235-240
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  Gavin C. Cawley, Nicola L. C. Talbot:
  Efficient cross-validation of kernel fisher discriminant classifiers. 241-246

ANN models and learning II

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  Raul Cristian Muresan:
  RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures. 247-254
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  Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo:
  Accelerating the convergence speed of neural networks learning methods using least squares. 255-260
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  Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Mamen Ortiz-Gómez:
  Ensemble Methods for Multilayer Feedforward. 261-266
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  Wen-Jyi Hwang, Chien-Min Ou, Chin-Ming Yeh:
  Robust Vector Quantization for Burst Error Channels Using Genetic Algorithm. 267-274
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  Norifumi Watanabe, Shun Ishizaki:
  Neural coding model using the morphoelectrotonic transform theory. 275-280
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  Frank van der Velde, Marc de Kamps:
  Neural assembly binding in linguistic representation. 281-286
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  Roberto Viviani, Manfred Spitzer:
  Developmental pruning of synapses and category learning. 287-294
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  Olivier Rochel, Dominique Martinez:
  An event-driven framework for the simulation of networks of spiking neurons. 295-300
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  Ana Paula Leitão, Sorin Tilie, Morgan Mangeas, Jean-Philippe Tarel, Vincent Vigneron, Sylvie Lelandais-Bonade:
  Road Singularities Detection and Classification. 301-306
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  Carlos Rivero:
  Characterization of the absolutely expedient learning algorithms for stochastic automata in a non-discrete space of actions. 307-312

Biologically plausible learning

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  Wako Yoshida, Shin Ishii:
  A model-based reinforcement learning: a computational model and an fMRI study. 313-318
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  Frank Seifart, Pierre Bayerl, Heiko Neumann:
  A neural model for heading detection from optic flow. 319-324
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  Bruno Scherrer:
  Parallel asynchronous distributed computations of optimal control in large state space Markov Decision processes. 325-330

Mixtures and ensemble learning

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  Mayte Suárez-Fariñas, Carlos Eduardo Pedreira:
  Mixture of Experts and Local-Global Neural Networks. 331-336
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  Shimon Cohen, Nathan Intrator:
  Ensemble of hybrid networks with strong regularization. 337-342
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  Andrés Yáñez Escolano, Joaquín Pizarro Junquera, Elisa Guerrero Vázquez, Pedro Galindo Riaño:
  A new Meta Machine Learning (MML) method based on combining non-significant different neural networks. 343-348

Classification

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  José Orozco García, Carlos A. Reyes García:
  Detecting Pathologies from Infant Cry Applying Scaled Conjugated Gradient Neural Networks. 349-354
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  Cecilio Angulo, Luis González Abril:
  1-v-1 Tri-Class SV Machine. 355-360
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  Gilles Vaucher:
  A Spiking Machine for Human-Computer Interactions (Design methodology). 361-366
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  Razvan Andonie, Lucian Mircea Sasu:
  A Fuzzy ARTMAP Probability Estimator with Relevance Factor. 367-372

Dynamical systems and recurrent networks

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  Marzena Ciszak, Oscar Calvo, Cristina Masoller, Claudio R. Mirasso, Raúl Toral:
  Anticipated synchronization in neuron models. 373-378
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  Edouard Leclercq, Fabrice Druaux, Dimitri Lefebvre:
  Autonomous learning algorithm for fully connected recurrent networks. 379-384
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  Enrique Domínguez Merino, José Muñoz-Pérez, José M. Jerez-Aragonés:
  Neural Network Algorithms for the p-Median Problem. 385-392

Industrial and agronomical applications of neural networks

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  Leonardo Maria Reyneri:
  On industrial acceptance of neuro-fuzzy systems. 393-400
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  Valentina Colla, Marco Vannucci, Benedetto Allotta, Monica Malvezzi:
  Comparison of traditional and neural systems for train speed estimation. 401-406
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  Biswanath Bhattacharya, Dimitri P. Solomatine:
  Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river. 407-412
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  Manuela Battipede, Piero A. Gili, Marco Lando, Luca Massotti, Marcello R. Napolitano, Giampiero Campa, Mario G. Perhinschi:
  Post-failure analysis of an adaptive predictor-corrector neural controller on a flight simulator. 413-418

ANN models and learning III

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  DaeEun Kim:
  An Analysis of Synchrony Conditions for Integrate-and-Fire Neurons. 419-426
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  Martin Bogdan, Michael Schröder, Wolfgang Rosenstiel:
  Towards the restoration of hand grasp function of quadriplegic patients based on an artificial neural net controller using peripheral nerve stimulation - an approach. 427-438
• 
  Frank Pasemann, Martin Hülse, Keyan Zahedi:
  Evolved Neurodynamics for Robot Control. 439-444
• 
  Stéphane Badel, Alexandre Schmid, Yusuf Leblebici:
  VLSI Realization of a Two-Dimensional Hamming Distance Comparator ANN for Image Processing Applications. 445-450
• 
  Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos:
  Recursive Least Squares for an Entropy Regularized MSE Cost Function. 451-456
• 
  A. Zehender, Pierre Bayerl, Heiko Neumann:
  A view-based approach for object recognition from image sequences. 457-462
• 
  Stephan Breutel, Frédéric Maire, Ross Hayward:
  Extracting Interface Assertions from Neural Networks in Polyhedral Format. 463-468
• 
  Vladimir Banarer, Christian Perwass, Gerald Sommer:
  The hypersphere neuron. 469-474
• 
  Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Michel Verleysen:
  Fast approximation of the bootstrap for model selection. 475-480
• 
  Manuel Graña, Josune Gallego:
  Associative morphological memories for spectral unmixing. 481-486
• 
  Miguel Rocha, Paulo Cortez, José Neves:
  Adaptive Learning in Changing Environments. 487-492

Digital image processing with neural networks

• 
  Axel Wismüller, Udo Seiffert:
  Digital Image Processing with Neural Networks. 493-502
• 
  Gunther Heidemann, Axel Saalbach, Helge J. Ritter:
  Semi-automatic acquisition and labelling of image data using SOMs. 503-508
• 
  Anke Meyer-Bäse, Thomas D. Otto, Thomas Martinetz, Dorothee Auer, Axel Wismüller:
  Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis. 509-514
• 
  Rossella Cancelliere, Mario Gai:
  Neural Network Performances in Astronomical Image Processing. 515-520
• 
  Valentina V. Zharkova, Vitaly Schetinin:
  A recognition of filaments in solar images with an artificial neural network. 521-526
• 
  John Aldo Lee, Cédric Archambeau, Michel Verleysen:
  Locally Linear Embedding versus Isotop. 527-534
• 
  Sven Behnke:
  Meter value recognition using locally connected hierarchical networks. 535-540

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