ESANN 2004: Bruges, Belgium

Learning I

• Aristoklis D. Anastasiadis, George D. Magoulas, Michael N. Vrahatis:
  A New Learning Rates Adaptation Strategy for the Resilient Propagation Algorithm. 1-6
  
• Rémi Coulom:
  High-accuracy value-function approximation with neural networks applied to the acrobot. 7-12
  
• Robert Haschke, Jochen J. Steil:
  Input Space Bifurcation Manifolds of RNNs. 13-18
  
• Christos Dimitrakakis, Samy Bengio:
  Online policy adaptation for ensemble classifiers. 19-24
  

Theory and applications of neural maps

• Thomas Villmann, Udo Seiffert, Axel Wismüller:
  Theory and applications of neural maps. 25-38
  
• Marc Strickert, Barbara Hammer:
  Self-organizing context learning. 39-44
  
• J. David Buldain Pérez, José Elías Herrero Jaraba:
  Visual person tracking with a Supervised Conditioning-SOM. 45-50
  
• Abha Jain, Erzsébet Merényi:
  Forbidden Magnification? I. 51-56
  
• Erzsébet Merényi, Abha Jain:
  Forbidden magnification? II. 57-62
  
• Catherine Aaron, Yamina Tadjeddine:
  Description of the Group Dynamic of Funds' Managers using Kohonen's Map. 63-68
  

Bayesian learning and Markov processes

• Christopher M. Bishop, Markus Svensén:
  Robust Bayesian Mixture Modelling. 69-74
  
• Cédric Archambeau, Frédéric Vrins, Michel Verleysen:
  Flexible and Robust Bayesian Classification by Finite Mixture Models. 75-80
  
• Wei Chu, Zoubin Ghahramani, David L. Wild:
  Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models. 81-86
  
• Bertrand Maillet, Madalina Olteanu, Joseph Rynkiewicz:
  Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime. 87-92
  

Sof-computing techniques for time series forecasting

• Ignacio Rojas Ruiz, Héctor Pomares:
  Soft-computing techniques for time series forecasting. 93-102
  
• Francesco Carlo Morabito, Mario Versaci:
  Disruption Anticipation in Tokamak Reactors: A Two-Factors Fuzzy Time Series Approach. 103-108
  
• Kai Xu, Szu Hui Ng, S. L. Ho:
  Time Series Analysis for Quality Improvement: a Soft Computing Approach. 109-114
  
• Teodor Marcu, Birgit Köppen-Seliger:
  Dynamic functional-link neural networks genetically evolved applied to system identification. 115-120
  
• Juan Manuel Górriz, Carlos García Puntonet, Moisés Salmerón, Julio Ortega:
  On-line support vector machines and optimization strategies. 121-126
  
• Luis Javier Herrera, Ignacio Rojas Ruiz, Héctor Pomares, Olga Valenzuela, Jesús González, Mohammed Awad:
  MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality. 127-132
  

Learning II

• Gavin C. Cawley, Nicola L. C. Talbot:
  Sparse Bayesian kernel logistic regression. 133-138
  
• Stefan Wiegand, Christian Igel, Uwe Handmann:
  Evolutionary Optimization of Neural Networks for Face Detection. 139-144
  
• Urs Niesen, Beat Pfister:
  Speaker verification by means of ANNs. 145-150
  
• Nigel Crook:
  A chaotic basis for neural coding. 151-156
  
• Zhijun Yang, Alan F. Murray:
  A biologically plausible neuromorphic system for object recognition and depth analysis. 157-162
  
• Masashi Sugiyama, Motoaki Kawanabe, Klaus-Robert Müller:
  Regularizing generalization error estimators: a novel approach to robust model selection. 163-168
  
• Marcel Jirina:
  Dimensionality reduction and classification using the distribution mapping exponent. 169-174
  
• Ranadhir Ghosh, Moumita Ghosh, John Yearwood:
  A Modular Framework for Multi category feature selection in Digital mammography. 175-180
  
• Kevin Doherty, Rod Adams, Neil Davey:
  Non-Euclidean norms and data normalisation. 181-186
  
• Bruno Pelletier, Robert Frouin:
  On fields of nonlinear regression models. 187-192
  
• Hajoon Lee, Dongkyung Nam, Cheol Hoon Park:
  A sliding mode controller using neural networks for robot manipulator. 193-198
  
• Silvia Chiappa, Nicolas Donckers, Samy Bengio, Frédéric Vrins:
  HMM and IOHMM modeling of EEG rhythms for asynchronous BCI systems. 193-204
  

Indepedent compent analysis and non-linear projection

• Fabian J. Theis, Elmar Wolfgang Lang:
  Linearization identification and an application to BSS using a SOM. 205-210
  
• Frédéric Vrins, Cédric Archambeau, Michel Verleysen:
  Towards a Local Separation Performances Estimator Using Common ICA Contrast Functions? 211-216
  
• Fabian J. Theis, Peter Gruber:
  Separability of analytic postnonlinear blind source separation with bounded sources. 217-222
  
• John Aldo Lee, Michel Verleysen:
  How to project `circular' manifolds using geodesic distances? 223-230
  
• Manuel Martín-Merino, Alberto Muñoz:
  Representing hierarchical relationships using a modified Asymmetric SOM Algorithm. 231-238
  

Industrial applications of neural networks

• Leonardo Reyneri:
  Classification and Prediction in Highly Dimensional Spaces - An Application to Tribology. 239-250
  
• Amparo Alonso-Betanzos, Enrique Castillo, Oscar Fontenla-Romero, Noelia Sánchez-Maroño:
  Shear strength prediction using dimensional analysis and functional networks. 251-256
  
• Lia Morra, Silvia Delsanto, Leonardo Reyneri:
  Enhanced unsupervised segmentation of multispectral Magnetic Resonance images. 257-262
  
• Marco Vannucci, Valentina Colla:
  Comparison of different classification methods on castabilty data coming from steelmaking practice. 263-268
  
• Beatrice Lazzerini, Francesco Marcelloni, Giovanni Marola, Simone Galigani:
  Neural network-based calibration of positron emission tomograph detector modules. 269-274
  
• Stefanos Goumas, Michalis E. Zervakis, George A. Rovithakis:
  Reduced dimensionality space for post placement quality inspection of components based on neural networks. 275-280
  

Neural methods for non-standard data

• Barbara Hammer, Brijnesh J. Jain:
  Neural methods for non-standard data. 281-292
  
• Alessio Micheli, Filippo Portera, Alessandro Sperduti:
  A preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks. 293-298
  
• Peter Geibel, Brijnesh J. Jain, Fritz Wysotzki:
  SVM learning with the SH inner product. 299-304
  
• Fabrice Rossi, Brieuc Conan-Guez, Aïcha El Golli:
  Clustering functional data with the SOM algorithm. 305-312
  
• Nicolas Delannay, Fabrice Rossi, Brieuc Conan-Guez, Michel Verleysen:
  Functional radial basis function networks. 313-318
  
• Fabrice Rossi, Brieuc Conan-Guez:
  Functional preprocessing for multilayer perceptrons. 319-324
  
• Monica Bianchini, Marco Maggini, Lorenzo Sarti, Franco Scarselli:
  Recursive networks for processing graphs with labelled edges. 325-330
  
• Brijnesh J. Jain, Fritz Wysotzki:
  The maximum weighted clique problem and Hopfield networks. 331-336
  

Learning III

• Manuel Rodríguez Álvarez, Fernando Rojas Ruiz, Elmar Wolfgang Lang, Ignacio Rojas Ruiz, Carlos García Puntonet, Moisés Salmerón-Campos:
  Lattice ICA for the separation of speech signals. 337-342
  
• Fabian J. Theis, Pando G. Georgiev, Andrzej Cichocki:
  Robust overcomplete matrix recovery for sparse sources using a generalized Hough transform. 343-348
  
• Youichi Kobuchi, Masataka Tanoue:
  SOM algorithms and their stability consideration. 349-354
  
• Hesham H. Amin, Robert H. Fujii:
  Input arrival-time-dependent decoding scheme for a spiking neural network. 355-360
  
• Alexander Ypma, Tom Heskes:
  Novel approximations for inference and learning in nonlinear dynamical systems. 361-366
  
• Mélanie Falgairolle, Agnès Gorge, Jean Marc Salotti, Marc-Michel Corsini:
  Computational model of amygdala network supported by neurobiological data. 367-372
  
• Julien Vitay, Nicolas P. Rougier, Frédéric Alexandre:
  Reducing connectivity by using cortical modular bands. 373-378
  
• Karsten Kube, Andreas Herzog, Vadym Spravedlyvyy, Bernd Michaelis, Thoralf Opitz, Ana D. de Lima, Thomas B. Voigt:
  Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony. 379-384
  
• Andreas Herzog, Vadym Spravedlyvyy, Karsten Kube, Reinhild Schnabel, Eduard Korkotian, Katharina Braun, Bernd Michaelis:
  Learning by geometrical shape changes of dendritic spines. 385-390
  
• Corneliu Lazar, Sorin Carari, Draguna Vrabie, Marius Kloetzer:
  Neuro-predictive control based self-tuning of PID controllers. 391-395
  

Hardware systems for neural devices

• Patrice Fleury, Adria Bofill-i-Petit, Alan F. Murray:
  Neural Hardware: beyond ones and zeros. 396-404
  
• Giacomo Indiveri, Elisabetta Chicca, Rodney J. Douglas:
  A VLSI reconfigurable network of integrate-and-fire neurons with spike-based learning synapses. 405-410
  
• Jordi Madrenas, Jordi Cosp, Lucas Oscar, Eduard Alarcón, Eva Vidal, Gerard Villar:
  BIOSEG: a bioinspired vlsi analog system for image segmentation. 411-416
  
• Alexandre R. S. Romariz, Kelvin Wagner:
  Implementation and coupling of dynamic neurons through optoelectronics. 417-422
  
• Özgür Türel, Jung Hoon Lee, Xiaolong Ma, Konstantin Likharev:
  Architectures for Nanoelectronic Neural Networks: New Results. 423-428
  

Support vector machines

• Shigeo Abe:
  Fuzzy LP-SVMs for Multiclass Problems. 429-434
  
• Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor:
  Sparse LS-SVMs using additive regularization with a penalized validation criterion. 435-440
  
• Te Ming Huang, Vojislav Kecman:
  Bias Term b in SVMs Again. 441-448
  

Neural networks for data mining

• Razvan Andonie, Boris Kovalerchuk:
  Neural networks for data mining: constrains and open problems. 449-458
  
• Mustapha Lebbah, Fouad Badran, Sylvie Thiria:
  Visualization and classification with categorical topological map. 459-464
  
• Michaël Aupetit:
  Visualizing distortions in continuous projection techniques. 465-470
  
• Razvan Andonie, Angel Cataron:
  An informational energy LVQ approach for feature ranking. 471-476
  
• Cesar García-Osorio, Jesús Maudes, Colin Fyfe:
  Using Andrews Curves for Clustering and Sub-clustering Self-Organizing Maps. 477-482
  
• Jorge Ferreira, Marley B. R. Vellasco, Marco Aurélio Cavalcanti Pacheco, Carlos R. Hall Barbosa:
  Data Mining Techniques on the Evaluation of Wireless Churn. 483-488
  
• Marco Vannucci, Valentina Colla:
  Meaningful discretization of continuous features for association rules mining by means of a SOM. 489-494
  
• Razvan Andonie, Lucian Sasu:
  Convergence properties of a fuzzy ARTMAP network. 495-500
  
• Alfred Ultsch, David Kämpf:
  Knowledge discovery in DNA microarray data of cancer patients with emergent self organizing maps. 501-506
  
• David Opolon, Fabien Moutarde:
  Fast semi-automatic segmentation algorithm for Self-Organizing Maps. 507-512
  
• Emanuele Bottino, Sergio Martinoia, Maurizio Valle:
  Integrated low noise signal conditioning interface for neuroengineering applications. 513-518
  

Learning IV

• Frauke Friedrichs, Christian Igel:
  Evolutionary tuning of multiple SVM parameters. 519-524
  
• Amaury Lendasse, Geoffroy Simon, Vincent Wertz, Michel Verleysen:
  Fast bootstrap for least-square support vector machines. 525-530
  
• Jochen J. Steil:
  Neural dynamics for task-oriented grouping of communicating agents. 531-536
  
• Frédéric Davesne:
  Learning from Reward as an emergent property of Physics-like interactions between neurons in an artificial neural network. 537-542
  
• Eric L. Sauser, Aude Billard:
  Three dimensional frames of reference transformations using gain modulated populations of neurons. 543-548
  
• Caspar von Wrede, Pavel Laskov:
  Using classification to determine the number of finger strokes on a multi-touch tactile device. 549-554
  
• Friedhelm Schwenker:
  Classification of Bioacoustic Time Series by Training a Decision Fusion mapping. 555-560
  
• Abdul Rauf Baig:
  Spatial-Temporal artificial neurons applied to online cursive handwritten recognition. 561-566
  
• Iulian B. Ciocoiu:
  Face Recognition Using Recurrent High-Order Associative Memories. 567-572
  

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