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ORCID12. ICANN 2002: Madrid, Spain
- José R. Dorronsoro:
Artificial Neural Networks - ICANN 2002, International Conference, Madrid, Spain, August 28-30, 2002, Proceedings. Lecture Notes in Computer Science 2415, Springer 2002, ISBN 3-540-44074-7
Computational Neuroscience
- Gustavo Deco, Edmund T. Rolls:
A Neurodynamical Theory of Visual Attention: Comparisons with fMRI- and Single-Neuron Data. 3-8 - Javier Molina-Vilaplana, Jorge Feliú Batlle, Juan López Coronado:
A Neural Model of Spatio Temporal Coordination in Prehension. 9-14 - Andreas Thiel, Christian W. Eurich, Helmut Schwegler:
Stabilized Dynamics in Physiological and Neural Systems Despite Strongly Delayed Feedback. 15-20 - Wolfgang Einhäuser, Christoph Kayser, Konrad P. Körding, Peter König:
Learning Multiple Feature Representations from Natural Image Sequences. 21-26 - Carlos Aguirre, Ramón Huerta, Fernando J. Corbacho, Pedro Pascual:
Analysis of Biologically Inspired Small-World Networks. 27-32 - Jarmo Hurri, Aapo Hyvärinen:
Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video. 33-38 - Maria Marinaro, Silvia Scarpetta
:
Noise Induces Spontaneous Synchronous Aperiodic Activity in EI Neural Networks. 39-44 - Bruce P. Graham:
Multiple Forms of Activity-Dependent Plasticity Enhance Information Transfer at a Dynamic Synapse. 45-50 - Barbara Caputo, Heinrich Niemann:
Storage Capacity of Kernel Associative Memories. 51-56 - Jörg Lücke, Christoph von der Malsburg, Rolf P. Würtz:
Macrocolumns as Decision Units. 57-62 - Thomas Wennekers:
Nonlinear Analysis of Simple Cell Tuning in Visual Cortex. 63-68 - Phill Rowcliffe, Jianfeng Feng, Hilary Buxton:
Clustering within Integrate-and-Fire Neurons for Image Segmentation. 69-74 - Rogério de Oliveira, Luiz Henrique Alves Monteiro:
Symmetry Detection Using Global-Locally Coupled Maps. 75-80 - Pietro Berkes, Laurenz Wiskott:
Applying Slow Feature Analysis to Image Sequences Yields a Rich Repertoire of Complex Cell Properties. 81-86 - Thomas Strösslin, Christophe Krebser, Angelo Arleo, Wulfram Gerstner:
Combining Multimodal Sensory Input for Spatial Learning. 87-92 - Rüdiger Kupper, Reinhard Eckhorn:
A Neural Network Model Generating Invariance for Visual Distance. 93-98 - Ilya A. Rybak, Dmitry G. Ivashko, Boris I. Prilutsky, M. Anthony Lewis, John K. Chapin:
Modeling Neural Control of Locomotion: Integration of Reflex Circuits with CPG. 99-104 - Angel Nevado, Malcolm P. Young, Stefano Panzeri:
Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques. 105-110 - Maurizio Mattia, Paolo Del Giudice:
Mean-Field Population Dynamics of Spiking Neurons with Random Synaptic Delays. 111-116 - Nhamo Mtetwa, Leslie S. Smith, Amir Hussain:
Stochastic Resonance and Finite Resolution in a Network of Leaky Integrate-and-Fire Neurons. 117-122 - Peter Auer, Harald Burgsteiner, Wolfgang Maass:
Reducing Communication for Distributed Learning in Neural Networks. 123-128 - David R. C. Dominguez, Elka Korutcheva, W. K. Theumann, Rubem Erichsen Jr.:
Flow Diagrams of the Quadratic Neural Network. 129-134 - Gianluigi Mongillo, Daniel J. Amit:
Dynamics of a Plastic Cortical Network. 135-140 - Michele Giugliano, Giancarlo La Camera, Alexander Rauch, Hans-Rudolf Lüscher, Stefano Fusi:
Non-monotonic Current-to-Rate Response Function in a Novel Integrate-and-Fire Model Neuron. 141-146 - Kris De Meyer, J. Mark Bishop, Slawomir J. Nasuto:
Small-World Effects in Lattice Stochastic Diffusion Search. 147-152 - Burkhard Iske, Axel Löffler, Ulrich Rückert:
A Direction Sensitive Network Based on a Biophysical Neurone Model. 153-159 - Roberto Latorre, Francisco de Borja Rodríguez Ortiz, Pablo Varona:
Characterization of Triphasic Rhythms in Central Pattern Generators (I): Interspike Interval Analysis. 160-166 - Francisco de Borja Rodríguez Ortiz, Roberto Latorre, Pablo Varona:
Characterization of Triphasic Rhythms in Central Pattern Generators (II): Burst Information Analysis. 167-173 - José Manuel Ferrández de Vicente, Markus Bongard, Francisco García de Quirós, Jose Angel Bolea, Eduardo Fernández:
Neural Coding Analysis in Retinal Ganglion Cells Using Information Theory. 174-179 - Giancarlo La Camera, Alexander Rauch, Walter Senn, Hans-Rudolf Lüscher, Stefano Fusi:
Firing Rate Adaptation without Losing Sensitivity to Input Fluctuations. 180-185 - David C. Sterratt, Arjen van Ooyen:
Does Morphology Influence Temporal Plasticity? 186-191 - Christopher Johansson, Anders Sandberg, Anders Lansner:
Attractor Neural Networks with Hypercolumns. 192-197 - Eduardo Sánchez Vila, Senén Barro, Antonio Canedo:
Edge Detection and Motion Discrimination in the Cuneate Nucleus. 198-203 - Alessandro Usseglio Viretta, Stefano Fusi, Shih-Chii Liu:
Encoding the Temporal Statistics of Markovian Sequences of Stimuli in Recurrent Neuronal Networks. 204-209 - Darryl Charles, Jos Koetsier, Donald MacDonald, Colin Fyfe:
Multi-stream Exploratory Projection Pursuit for the Formation of Complex Cells Similar to Visual Cortical Neurons. 210-215 - Francisco García-Córdova, Javier Molina-Vilaplana, Juan López Coronado:
A Corticospinal Network for Control of Voluntary Movements of a Physiologically Based Experimental Platform. 216-222 - Rubén Moreno, Néstor Parga:
Firing Rate for a Generic Integrate-and-Fire Neuron with Exponentially Correlated Input. 223-228 - Jens R. Otterpohl, Klaus Pawelzik:
Iterative Population Decoding Based on Prior Beliefs. 229-234 - Giancarlo La Camera, Stefano Fusi, Walter Senn, Alexander Rauch, Hans-Rudolf Lüscher:
When NMDA Receptor Conductances Increase Inter-spike Interval Variability. 235-240 - Stefano Fusi:
Spike-Driven Synaptic Plasticity for Learning Correlated Patterns of Asynchronous Activity. 241-247 - Manuel A. Sánchez-Montañés, Luis Fernando Lago-Fernández, Nazareth P. Castellanos, Ángel Merchán-Pérez, Jon I. Arellano, Javier DeFelipe:
A Model of Human Cortical Microcircuits for the Study of the Development of Epilepsy. 248-253 - Wolfgang Maass:
On the Computational Power of Neural Microcircuit Models: Pointers to the Literature. 254-258
Connectionist Cognitive Science
- Erol Gelenbe, Ricardo Lent, Zhiguang Xu:
Networking with Cognitive Packets. 259-264 - J. G. (Iain) Wallace, Kevin Bluff:
Episodic Memory: A Connectionist Interpretation. 265-270 - Hervé Frezza-Buet:
Action Scheme Scheduling with a Neural Architecture: A Prefrontal Cortex Approach. 271-276 - Ivilin Peev Stoianov, Marco Zorzi, Suzanna Becker, Carlo Umilta:
Associative Arithmetic with Boltzmann Machines: The Role of Number Representations. 277-283 - Douglas Eck, Jürgen Schmidhuber:
Learning the Long-Term Structure of the Blues. 284-289 - Antonella Bua, Marco Gori, Fabrizio Santini:
Recursive Neural Networks Applied to Discourse Representation Theory. 290-295 - Sheila Garfield, Stefan Wermter:
Recurrent Neural Learning for Helpdesk Call Routing. 296-301 - Jerzy Korczak, Emmanuel Blindauer:
An Approach to Encode Multilayer Perceptrons. 302-307 - J. Mark Bishop, Slawomir J. Nasuto, Kris De Meyer:
Dynamic Knowledge Representation in Connectionist Systems. 308-313 - Germán Gutiérrez, Inés María Galván, José M. Molina, Araceli Sanchis:
Generative Capacities of Cellular Automata Codification for Evolution of NN Codification. 314-322
Data Analysis and Pattern Recognition
- J. David Buldain Pérez:
Entropic Measures with Radial Basis Units. 323-328 - Sören Sonnenburg, Gunnar Rätsch, Arun K. Jagota, Klaus-Robert Müller:
New Methods for Splice Site Recognition. 329-336 - Yoshifusa Ito:
A Weak Condition on Linear Independence of Unscaled Shifts of a Function and Finite Mappings by Neural Networks. 337-343 - Syed Saad Azhar Ali, Hussain N. Al-Duwaish:
Identification of Wiener Model Using Radial Basis Functions Neural Networks. 344-350 - Max Welling, Geoffrey E. Hinton:
A New Learning Algorithm for Mean Field Boltzmann Machines. 351-357 - Hsin Chen, Alan F. Murray:
A Continuous Restricted Boltzmann Machine with a Hardware-Amenable Learning Algorithm. 358-363 - José Elías Herrero Jaraba, Carlos Orrite-Uruñuela, J. David Buldain Pérez, Armando Roy-Yarza:
Human Recognition by Gait Analysis Using Neural Networks. 364-369 - Barbara Hammer, Marc Strickert, Thomas Villmann:
Learning Vector Quantization for Multimodal Data. 370-376 - Miroslaw Galicki, Lutz Leistritz, Herbert Witte:
Learning the Dynamic Neural Networks with the Improvement of Generalization Capabilities. 377-382 - Bart Bakker, Tom Heskes:
Model Clustering for Neural Network Ensembles. 383-388 - José Luis Fernández-Villacañas Martín, Mónica Sierra Sánchez:
Does Crossover Probability Depend on Fitness and Hamming Differences in Genetic Algorithms? 389-394 - Jesús Manuel Besada-Juez, Miguel Angel Sanz-Bobi:
Extraction of Fuzzy Rules Using Sensibility Analysis in a Neural Network. 395-400 - Andreas Alexander Albrecht, Staal Amund Vinterbo, C. K. Wong, Lucila Ohno-Machado:
A Simulated Annealing and Resampling Method for Training Perceptrons to Classify Gene-Expression Data. 401-407 - Rocío Alaíz-Rodríguez, Jesús Cid-Sueiro:
Neural Minimax Classifiers. 408-413 - Martin Lauer:
Sampling Parameters to Estimate a Mixture Distribution with Unknown Size. 414-419 - Antanas Verikas, Arunas Lipnickas, Kerstin Malmqvist:
Selecting Neural Networks for Making a Committee Decision. 420-425 - Patrice Fleury, Alan F. Murray, H. Martin Reekie:
High-Accuracy Mixed-Signal VLSI for Weight Modification in Contrastive Divergence Learning. 426-431 - Sebastian Weng, Jochen J. Steil:
Data Driven Generation of Interactions for Feature Binding and Relaxation Labeling. 432-437 - Miguel L. Bote-Lorenzo, Yannis A. Dimitriadis, Eduardo Gómez-Sánchez:
A Hybrid Two-Stage Fuzzy ARTMAP and LVQ Neuro-Fuzzy System for On-Line Handwriting Recognition. 438-443 - Giancarlo Ferrari-Trecate, Marco Muselli:
A New Learning Method for Piecewise Linear Regression. 444-449 - Thore Graepel, Nicol N. Schraudolph:
Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems. 450-455 - Deniz Erdogmus, José Carlos Príncipe, Luis Vielva, David Luengo:
Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems. 456-461 - Victor M. Preciado:
Piecewise-Linear Approximation of Any Smooth Output Function on the Cellular Neural Network. 462-467 - Davide Anguita, Matteo Gagliolo:
MDL Based Model Selection for Relevance Vector Regression. 468-473 - Mario Köppen:
On the Training of a Kolmogorov Network. 474-479 - Nojun Kwak, Chong-Ho Choi:
A New Method of Feature Extraction and Its Stability. 480-485 - Khalid Benabdeslem, Younès Bennani, Eric Janvier:
Visualization and Analysis of Web Navigation Data. 486-491 - Shigeyuki Oba, Masa-aki Sato, Ichiro Takemasa, Morito Monden, Ken-ichi Matsubara, Shin Ishii:
Missing Value Estimation Using Mixture of PCAs. 492-497 - Jakob Svensson, Manfred von Hellermann, Ralf König:
High Precision Measurement of Fuel Density Profiles in Nuclear Fusion Plasmas. 498-503 - Krzysztof Grabczewski, Wlodzislaw Duch:
Heterogeneous Forests of Decision Trees. 504-509 - Stéphane Bounkong, David Saad, David Lowe:
Independent Component Analysis for Domain Independent Watermarking. 510-515 - Thomas Ragg, Frank Padberg, Ralf Schoknecht:
Applying Machine Learning to Solve an Estimation Problem in Software Inspections. 516-521 - Taku Yoshioka, Ryouko Morioka, Kazuo Kobayashi, Shigeyuki Oba, Naotake Ogasawara, Shin Ishii:
Clustering of Gene Expression Data by Mixture of PCA Models. 522-527 - Masashi Sugiyama, Klaus-Robert Müller:
Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces. 528-534 - Takafumi Kanamori:
A New Sequential Algorithm for Regression Problems by Using Mixture Distribution. 535-540 - Damián López, María José Castro:
Neural-Based Classification of Blocks from Documents. 541-546 - Sancho Salcedo-Sanz, Mario de Prado-Cumplido, Fernando Pérez-Cruz, Carlos Bousoño-Calzón:
Feature Selection via Genetic Optimization. 547-552 - Jesús González, Ignacio Rojas, Héctor Pomares:
Neural Networks, Clustering Techniques, and Function Approximation Problems. 553-558 - Jesús González, Ignacio Rojas, Héctor Pomares, Alberto Prieto, Karl Goser:
Evolutionary Training of Neuro-fuzzy Patches for Function Approximation. 559-564 - César Ernesto Martínez, Alfons Juan, Francisco Casacuberta:
Using Recurrent Neural Networks for Automatic Chromosome Classification. 565-570 - Evgenia Dimitriadou, Andreas Weingessel, Kurt Hornik:
A Mixed Ensemble Approach for the Semi-supervised Problem. 571-576 - Álvaro Mateos, Javier Herrero, Joaquín Dopazo:
Using Perceptrons for Supervised Classification of DNA Microarray Samples: Obtaining the Optimal Level of Information and Finding Differentially Expressed Genes. 577-582 - Gérald Gavin, Olivier Teytaud:
Lower Bounds for Training and Leave-One-Out Estimates of the Generalization Error. 583-588 - Moisés Salmerón, Julio Ortega, Carlos García Puntonet, Alberto Prieto, Ignacio Rojas:
SSA, SVD, QR-cp, and RBF Model Reduction. 589-594 - Martijn A. R. Leisink, Hilbert J. Kappen, Han G. Brunner:
Linkage Analysis: A Bayesian Approach. 595-600 - Alessandro Sperduti:
On Linear Separability of Sequences and Structures. 601-606 - Volker Roth, Mikio L. Braun, Tilman Lange, Joachim M. Buhmann:
Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data. 607-612 - Pedro J. Zufiria, Carlos Rivero:
EM-Based Radial Basis Function Training with Partial Information. 613-618 - Matteo Giudici, Filippo Queirolo, Maurizio Valle:
Stochastic Supervised Learning Algorithms with Local and Adaptive Learning Rate for Recognising Hand-Written Characters. 619-624 - Alejandro Sierra, Fernando J. Corbacho:
Input and Output Feature Selection. 625-630 - Luis Fernando Lago-Fernández, Fernando J. Corbacho:
Optimal Extraction of Hidden Causes. 631-636 - Manuel A. Sánchez-Montañés, Fernando J. Corbacho:
Towards a New Information Processing Measure for Neural Computation. 637-642 - Magnus Stensmo:
A Scalable and Efficient Probabilistic Information Retrieval and Text Mining System. 643-648 - Donald MacDonald, Emilio Corchado, Colin Fyfe, Erzsébet Merényi:
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. 649-654 - Felix A. Gers, Juan Antonio Pérez-Ortiz, Douglas Eck, Jürgen Schmidhuber:
Learning Context Sensitive Languages with LSTM Trained with Kalman Filters. 655-660 - Junichiro Yoshimoto, Shin Ishii, Masa-aki Sato:
Hierarchical Model Selection for NGnet Based on Variational Bayes Inference. 661-666 - Brieuc Conan-Guez, Fabrice Rossi:
Multi-layer Perceptrons for Functional Data Analysis: A Projection Based Approach. 667-672 - José R. Dorronsoro, Ana M. González:
Natural Gradient and Multiclass NLDA Networks. 673-680
Kernel Methods
- Gavin C. Cawley, Nicola L. C. Talbot:
A Greedy Training Algorithm for Sparse Least-Squares Support Vector Machines. 681-686 - Vladimir Cherkassky, Yunqian Ma:
Selection of Meta-parameters for Support Vector Regression. 687-693 - Thore Graepel:
Kernel Matrix Completion by Semidefinite Programming. 694-699 - Masa-aki Sato, Shigeyuki Oba:
Incremental Sparse Kernel Machine. 700-707 - Alain Rakotomamonjy, Stéphane Canu:
Frame Kernels for Learning. 707-712 - Jos De Brabanter, Kristiaan Pelckmans, Johan A. K. Suykens, Joos Vandewalle:
Robust Cross-Validation Score Function for Non-linear Function Estimation. 713-719 - Bart Hamers, Johan A. K. Suykens, Bart De Moor:
Compactly Supported RBF Kernels for Sparsifying the Gram Matrix in LS-SVM Regression Models. 720-726 - Koji Tsuda, Motoaki Kawanabe:
The Leave-One-Out Kernel. 727-732 - Silvio Borer, Wulfram Gerstner:
Support Vector Representation of Multi-categorical Data. 733-738 - Takashi Takahashi, Takio Kurita:
Robust De-noising by Kernel PCA. 739-744 - Peter Meinicke, Thorsten Twellmann, Helge J. Ritter:
Maximum Contrast Classifiers. 745-750