ESANN 2005:
Bruges,
Belgium
ESANN 2005, 13th European Symposium on Artificial Neural Networks, Bruges, Belgium, April 27-29, 2005, Proceedings.
2005 BibTeX
Clustering,
quantization,
and self-organization
Dynamical and Numerical Aspects of Neural Computing
- Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
Two or three things that we (intend to) know about Hopfield and Tank networks.
25-36
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- Nigel Crook, Wee Jin Goh, Mohammad Hawarat:
The Nonlinear Dynamic State neuron.
37-42
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- Jochen J. Steil:
Stability of backpropagation-decorrelation efficient O(N) recurrent learning.
43-48
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- Francisco R. Villatoro:
Exponential stability of implicit Euler, discrete-time Hopfield neural networks.
49-54
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- Marie Kratz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós:
Stochastic analysis of the Abe formulation of Hopfield networks.
55-60
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- Franck Carenzi, Philippe Gorce, Yves Burnod, Marc A. Maier:
Using generic neural networks in the control and prediction of grasp postures.
61-66
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- Mark P. Joy:
Exponential stability of stochastic, retarded neural netorks.
67-72
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Learning I
Artificial Neural Networks and Prognosis in Medicine
- Leonardo Franco, José M. Jerez, Emilio Alba:
Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients.
91-102
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- Rachel Bittern, Alfred Cuschieri, Sergey Dolgobrodov, Robin Marshall, Peter Moore, Robert Steele:
An artificial neural network for analysing the survival of patients with colorectal cancer.
103-108
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- Maysam F. Abbod, Jim W. F. Catto, Min-You Chen, Derek A. Linkens, Freddie C. Hamdy:
Artificial intelligence techniques for the prediction of bladder cancer progression.
109-114
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- Hui Liu, Ash Kshirsagar, Jessica Ku, Dolores Lamb, Craig Niederberger:
Computational models of intracytoplasmic sperm injection prognosis.
115-120
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- Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente:
Handling outliers and missing data in brain tumour clinical assessment using t-GTM.
121-126
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- Mark P. Joy, Simon Jones:
predicting bed demand in a hospital using neural networks and ARIMA models: a hybrid approach.
127-132
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- Alfredo Vellido, Paulo J. G. Lisboa:
Functional topographic mapping for robust handling of outliers in brain tumour data.
133-138
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- Barbara Hammer, Andreas Rechtien, Marc Strickert, Thomas Villmann:
Relevance learning for mental disease classification.
139-144
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- Olga Valenzuela, Ignacio Rojas Ruiz, Fernando Rojas Ruiz, Luisa Marquez:
Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network.
145-150
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Learning II
- Nadir Farah, Tarek Khadir, Mokhtar Sellami:
Artificial neural network fusion: Application to Arabic words recognition.
151-156
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- Jie Ni, Qing Song:
Adaptive Simultaneous Perturbation Based Pruning Algorithm for Neural Control Systems.
157-162
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- Shigeo Abe:
Modified backward feature selection by cross validation.
163-168
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- Agathoklis Krimpenis, George-Christopher Vosniakos:
Initialisation improvement in engineering feedforward ANN models.
169-174
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- Manuel Ortega-Moral, Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Aníbal R. Figueiras-Vidal:
An On-line Fisher Discriminant.
175-180
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- Nowicki Dimitri, Oleksiy Dekhtyarenko:
Averaging on Riemannian manifolds and unsupervised learning using neural associative memory.
181-186
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- Pornchai Khlaeo-om, Suwat Kuntanapreeda:
A Stability Condition for Neural Network Control of Uncertain Systems.
187-192
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- Bruno Azzerboni, Fabio La Foresta, Nadia Mammone, Francesco Carlo Morabito:
A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction.
193-198
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- Catherine Aaron:
Graph-based normalization.
199-204
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- Joshua E. Menke, Tony R. Martinez:
Domain expert approximation through oracle learning.
205-210
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- Tony J. Dodd, Tun M. Ladoni:
Generalised Cross Validation for Noise-Free Data.
211-216
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Perceptrons and Multi-Layer Perceptrons
Evolutionary and neural computation
Independent Component Analysis
Classification using non-standard metrics
- Barbara Hammer, Thomas Villmann:
Classification using non-standard metrics.
303-316
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- Luh Yen, Denis Vanvyve, Fabien Wouters, François Fouss, Michel Verleysen, Marco Saerens:
clustering using a random walk based distance measure.
317-324
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- Alexei Vinokourov, Andrei N. Soklakov, Craig Saunders:
A probabilistic framework for mismatch and profile string kernels.
325-330
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- Marc Strickert, Nese Sreenivasulu, Winfriede Weschke, Udo Seiffert, Thomas Villmann:
Generalized Relevance LVQ with Correlation Measures for Biological Data.
331-338
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- Damien François, Vincent Wertz, Michel Verleysen:
Non-Euclidean metrics for similarity search in noisy datasets.
339-344
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- Paul F. Evangelista, Piero P. Bonissone, Mark J. Embrechts, Boleslaw K. Szymanski:
unsupervised fuzzy ensembles and their use in intrusion detection.
345-350
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- Fabrice Rossi, Aïcha El Golli, Yves Lechevallier:
Usage Guided Clustering of Web Pages with the Median Self Organizing Map.
351-356
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- Mustapha Lebbah, Aymeric Chazottes, Fouad Badran, Sylvie Thiria:
Mixed Topological Map.
357-362
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- Andrew Carnell, Daniel Richardson:
linear algebra for time series of spikes.
363-368
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Learning III
- Katharina Tluk von Toschanowitz, Barbara Hammer, Helge Ritter:
Relevance determination in reinforcement learning.
369-374
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- Michael Bensch, Michael Schröder, Martin Bogdan, Wolfgang Rosenstiel:
Feature selection for high-dimensional industrial data.
375-380
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- Kary Främling:
Adaptive robot learning in a non-stationary environment.
381-386
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- Oleksiy Dekhtyarenko, Valery Tereshko, Colin Fyfe:
Phase transition in sparse associative neural networks.
387-392
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- Claude F. Touzet, Pierrick Demoulin, Boris Burle, Franck Vidal, Françoise Macar:
Neuromimetic model of interval timing.
393-398
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- Markus Hagenbuchner, Alessandro Sperduti, Ah Chung Tsoi:
Contextual Processing of Graphs using Self-Organizing Maps.
399-404
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- Gianluca Bontempi:
Structural feature selection for wrapper methods.
405-410
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- Thomas P. Trappenberg:
Coverage-performance estimation for classification with ambiguous data.
411-416
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- Min Wang, Shuyuan Yang, Shunjun Wu:
UWB radar target identification based on linear RBFNN.
417-422
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Biologically inspired models
Kernel methods and the exponential family
Applications
- Stefan Klinger, Jim Austin:
Chemical similarity searching using a neural graph matcher.
479-484
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- Liva Ralaivola, Lin Wu, Pierre Baldi:
SVM and pattern-enriched common fate graphs for the game of go.
485-490
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- José Hiroki Saito, Thiago Vieira de Carvalho, Marcelo Hirakuri, André Saunite, Alessandro Noriaki Ide, Sandra Abib:
Using CMU PIE Human Face Database to a Convolutional Neural Network - Neocognitron.
491-496
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- Manuel Graña, F. Xabier Albizuri, Alicia D'Anjou:
Morphological memories for feature extraction in hyperspectral images.
497-502
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Learning IV
- Nima Reyhani, Jin Hao, Yongnan Ji, Amaury Lendasse:
Mutual information and gamma test for input selection.
503-508
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- Antti Sorjamaa, Amaury Lendasse, Michel Verleysen:
Pruned lazy learning models for time series prediction.
509-514
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- Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Enrique Castillo:
a new wrapper method for feature subset selection.
515-520
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- Fernando Rojas Ruiz, Carlos García Puntonet, Ignacio Rojas Ruiz:
Analysis of contrast functions in a genetic algorithm for post-nonlinear blind source separation.
521-526
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- Kee Khoon Lee, Gavin C. Cawley, Michael W. Bevan:
sparse Bayesian promoter based gene classification.
527-532
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- Georg Pölzlbauer, Andreas Rauber, Michael Dittenbach:
Graph projection techniques for Self-Organizing Maps.
533-538
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- Georgina Stegmayer, Omar Chiotti, Giancarlo Orengo:
A Neural Network that helps building a Nonlinear Dynamical model of a Power Amplifier.
539-544
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- Hervé Guillaume, Nathalie Denquive, Philippe Tarroux:
Contextual priming for artificial visual perception.
545-550
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- Panagiotis Saragiotis, Bogdan Vrusias, Khurshid Ahmad:
Learning to classify a collection of images and texts.
551-556
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- Zhongwen Luo, Hongzhi Liu, Zhengping Yang, Xincai Wu:
Self-Organizing Maps computing on Graphic Process Unit.
557-562
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- Kirmene Marzouki, Takeshi Yamakawa:
Novel Algorithm for Eliminating Folding Effect in Standard SOM.
563-570
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- Djaffar Ould Abdeslam, Jean Mercklé, Patrice Wira:
Adaline-based estimation of power harmonics.
571-576
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- Xiangrong Zhang, Shuang Wang, Tan Shan, Licheng Jiao:
Radar target recognition using SVMs with a wrapper feature selection driven by immune clonal algorithm.
577-582
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- Boussa Sofiane, Marin Mattieu, LeFoll Frank, Faure Alain, Leboulanger Francois:
Experimental validation of a synapse model by adding synaptic conductances to excitable endocrine cells in culture.
583-588
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- Min Wang, Shuyuan Yang, Shunjun Wu:
A neural network approach of ultra-wideband nearfield adaptive beamforming.
589-594
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- Andrea Caponnetto, Lorenzo Rosasco, Francesca Odone, Alessandro Verri:
Support vector algorithms as regularization networks.
595-600
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- Karsten Kube, Andreas Herzog, Bernd Michaelis, Ayoub Al-Hamadi, Ana D. de Lima, Thomas B. Voigt:
Spike-timing-dependent plasticity in 'small world' networks.
601-606
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Copyright © Sat May 16 23:10:40 2009
by Michael Ley (ley@uni-trier.de)
