ESANN 2002:
Bruges, Belgium
Michel Verleysen (Ed.):
ESANN 2002, 10th Eurorean Symposium on Artificial Neural Networks, Bruges, Belgium, April 24-26, 2002, Proceedings.
2002, ISBN 2-930307-02-1 
Regression
Exploratory Data Analysis in Medicine and Bioinformatics
- Axel Wismüller, Thomas Villmann:
Exploratory Data Analysis in Medicine and Bioinformatics.
25-38
- Marylin L. Vaughn, Stewart J. Taylor, Michael A. Foy, Anthony J. B. Fogg:
A data visualisation method for investigating the reliability of a high-dimensional low-back-pain MLP network.
39-44
- Dali Wang, Habtom W. Ressom, Mohamad T. Musavi, Christian Domnisoru:
Double self-organizing maps to cluster gene expression data.
45-50
- Robert Reynolds, Habtom W. Ressom, Mohamad T. Musavi, Christian Domnisoru:
Improving robustness of fuzzy gene modeling.
51-56
Sampling and model selection
Neural Networks and Cognitive Science
- Hélène Paugam-Moisy, Didier Puzenat, Emanuelle Reynaud, Jean-Philippe Magué:
Neural networks for modelling memory : case studies.
71-82
- Fiona M. Richardson, Neil Davey, Lorna Peters, D. John Done, Sue H. Anthony:
Connectionist models investigating representations formed in the sequential generation of characters.
83-88
- Karl-Theodor Kalveram, Thomas Schinauer:
The problem of adaptive control in a living system or how to acquire an inverse model without the help of an external teacher.
89-94
- Vijay Laxmi, John N. Carter, Robert I. Damper:
Biologically-inspired human motion detection.
95-100
- Jenny Hayes, Victoria Murphy, Neil Davey, Pam Smith, Lorna Peters:
Why will rat's go where rats will not?
101-106
ANN models and learning I
- Haydemar Núñez, Cecilio Angulo, Andreu Català:
Rule extraction from support vector machines.
107-112
- Shigeo Abe, Takuya Inoue:
Fuzzy support vector machines for multiclass problems.
113-118
- Jan Poland, Andreas Zell:
Different criteria for active learning in neural networks: a comparative study.
119-124
- Christoph Bunzmann, Michael Biehl, Robert Urbanczik:
Supervised learning in committee machines by PCA.
125-130
- Lukas Lukas, Andy Devos, Johan A. K. Suykens, Leentje Vanhamme, Sabine Van Huffel, Anne Rosemary Tate, Carles Majós, Carles Arús:
The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals.
131-136
- Donald MacDonald, Colin Fyfe:
Clustering in data space and feature space.
137-142
- Colin Fyfe, Emilio Corchado:
Maximum likelihood Hebbian rules.
143-148
- Kamel Saadi, Gavin C. Cawley, Nicola L. C. Talbot:
Fast exact leave-one-out cross-validation of least-squares Support Vector Machines.
149-154
- Joaquín Pizarro Junquera, Pedro L. Galindo, Elisa Guerrero Vázquez, Andrés Yáñez Escolano:
Noise derived information criterion for model selection.
155-160
- Cecilio Angulo, Xavier Parra, Andreu Català:
An unified framework for 'All data at once' multi-class Support Vector Machines.
161-166
- Lieveke Ameye, Chuan Lu, Lukas Lukas, Jos De Brabanter, Johan A. K. Suykens, Sabine Van Huffel, Hans Daniels, Gunnar Naulaers, Hugo Devlieger:
Prediction of mental development of preterm newborns at birth time using LS-SVM.
167-172
Representation of high-dimensional data
- Jeanny Hérault, Anne Guérin-Dugué, Pierre Villemain:
Searching for the embedded manifolds in high-dimensional data, problems and unsolved questions.
173-184
- John Aldo Lee, Amaury Lendasse, Michel Verleysen:
Curvilinear Distance Analysis versus Isomap.
185-192
- Jakob J. Verbeek, Nikos A. Vlassis, Ben J. A. Kröse:
Fast nonlinear dimensionality reduction with topology representing networks.
193-198
- David L. Donoho, Carrie Grimes:
When does geodesic distance recover the true hidden parametrization of families of articulated images?
199-204
- Fabian J. Theis, Elmar Wolfgang Lang:
How to generalize geometric ICA to higher dimensions.
205-210
- Mathieu Delichère, Daniel Memmi:
Neural dimensionality reduction for document processing.
211-216
ANN models and learning II
- Fabian J. Theis, Elmar Wolfgang Lang:
Geometric overcomplete ICA.
217-222
- Jean-Claude Fort, Patrick Letrémy, Marie Cottrell:
Advantages and drawbacks of the Batch Kohonen algorithm.
223-230
- Pasi Lehtimäki, Kimmo Raivio, Olli Simula:
Mobile radio access network monitoring using the self-organizing map.
231-236
- José Luis Bernier, Jesús González, Antonio Cañas, Antonio F. Díaz, F. J. Fernández, Julio Ortega:
Evaluating the impact of multiplicative input perturbations on radial basis function networks.
237-244
- Gabriele Peters, Christoph von der Malsburg:
Learning sparse representations of three-dimensional objects.
245-250
- Minoru Nakayama, Yasutaka Shimizu:
An estimation model of pupil size for 'Blink Artifact' and it's applications.
251-256
- Garry Hollier, Jim Austin:
Novelty detection for strain-gauge degradation using maximally correlated components.
257-262
- Sander M. Bohte, Joost N. Kok, Johannes A. La Poutré:
Modeling efficient conjunction detection with spiking neural networks.
263-268
- Çaglayan Erdem, Hans-Georg Zimmermann:
Segmental duration control by time delay neural networks with asymmetric causal and retro-causal information flows.
269-274
- Mohamed Chetouani, Bruno Gas, Jean-Luc Zarader, Cyril Chavy:
Neural predictive coding for speech discriminant feature extraction: The DFE-NPC.
275-280
- Nathalie Denquive, Philippe Tarroux:
Multiresolution codes for scene categorization.
281-287
- Matteo Giudici, Filippo Queirolo, Maurizio Valle:
Evaluation of gradient descent learning algorithms with adaptive and local learning rate for recognising hand-written numerals.
289-294
Learning
Hardware and Parallel Computer Implementations of Neural Networks
- Udo Seiffert:
Artificial Neural Networks on Massively Parallel Computer Hardware.
319-330
- Cyprian Grassmann, Tim Schönauer, Carsten Wolff:
PCNN neurocomputers - Event driven and parallel architectures.
331-336
- Mario Porrmann, Marc Franzmeier, Heiko Kalte, Ulf Witkowski, Ulrich Rückert:
A reconfigurable SOM hardware accelerator.
337-342
- Nhamo Mtetwa, Leslie S. Smith, Amir Hussain:
Stochastic resonance and finite resolutions in a leaky integrate-and-fire neuron.
343-348
- Jean-Christophe Prévotet, Bruce Denby, Patrick Garda, Bertrand Granado, Christian Kiesling:
Hardware solutions for implementation of neural networks in High Energy Physics triggers.
349-356
Perspectives on Learning with Recurrent Networks
- Barbara Hammer, Jochen J. Steil:
Perspectives on learning with recurrent neural networks.
357-368
- Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber:
DEKF-LSTM.
369-376
- Mikael Bodén:
Generalization by structural properties from sparse nested symbolic data.
377-382
- James Henderson:
Estimating probabilities for unbounded categorization problems.
383-388
- Barbara Hammer, Alessio Micheli, Alessandro Sperduti:
A general framework for unsupervised processing of structured data.
389-394
- Hans-Georg Zimmermann, Ralph Neuneier, Ralph Grothmann:
Undershooting: modeling dynamical systems by time grid refinements.
395-400
- Nigel Crook, Tjeerd Olde Scheper:
Learning in a chaotic neural network.
401-406
- Hans-Georg Zimmermann, Christoph Tietz, Ralph Grothmann:
Yield curve forecasting by error correction neural networks and partial learning.
407-412
ANN models and learning III
- Gilles Millerioux, Gérard Bloch:
State reconstruction of piecewise linear maps using a clustering machine.
413-418
- Stéphane Lecoeuche:
Unsupervised classifier for monitoring and diagnostic of time series.
419-424
- Nabil Benoudjit, Cédric Archambeau, Amaury Lendasse, John Aldo Lee, Michel Verleysen:
Width optimization of the Gaussian kernels in Radial Basis Function Networks.
425-432
- Andy Pasley, Jim Austin:
High frequency forecasting with associative memories.
433-438
- Matthias Scholz, Ricardo Vigário:
Nonlinear PCA: a new hierarchical approach.
439-444
- Pei Ling Lai:
Probabilistic derivation and Multiple Canonical Correlation Analysis.
445-452
- Moisés Salmerón, Alberto Prieto, Julio Ortega, Carlos García Puntonet, Manuel Rodríguez Álvarez:
Orthogonal transformations for optimal time series prediction.
453-458
- Elena Bellei, Ruggero Petacchi, Leonardo Maria Reyneri:
Neuro-fuzzy methodologies for the clustering and the reliability estimation of olive fruit fly infestation.
459-464
- Hussain N. Al-Duwaish, Lahouri Ghouti, Talal O. Halawani, Mohamed Mohandes:
Use of artificial neural networks process analyzers: a case study.
465-470
Information extraction
Neural Network Techniques in Fault Detection and Isolation
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