Electronic preceedings author index

catherine Aaron

• ESANN 2004 - Description of the Group Dynamic of Funds’ Managers using Kohonen’s Map [Details]
• ESANN 2005 - graph-based normalization [Details]

Maysam Abbod

• ESANN 2005 - Artificial intelligence techniques for the prediction of bladder cancer progression [Details]

Mohamed Farouk Abdel Hady

• ESANN 2008 - Multi-View Forests of Tree-Structured Radial Basis Function Networks Based on Dempster-Shafer Evidence Theory [Details]

H. Abdi

• ESANN 1998 - Face recognition: pre-processing techniques for linear autoassociators [Details]

S. Abe

• ESANN 2002 - Fuzzy support vector machines for multiclass problems [Details]

Shigeo Abe

• ESANN 2004 - Fuzzy LP-SVMs for Multiclass Problems [Details]
• ESANN 2005 - Modified backward feature selection by cross validation [Details]
• ESANN 2007 - Optimizing kernel parameters by second-order methods [Details]
• ESANN 2008 - Comparison of sparse least squares support vector regressors trained in primal and dual [Details]
• ESANN 2009 - Sparse support vector machines by kernel discriminant analysis [Details]
• ESANN 2010 - Active set training of support vector regressors [Details]

Hiroshi Abe

• ESANN 2009 - The Possibility of Single-trial Classification of Viewed Characters using EEG Waveforms [Details]

Sandra Abib

• ESANN 2005 - Using CMU PIE Human Face Database to a Convolutional Neural Network - Neocognitron [Details]

Irina Abnizova

• ESANN 2008 - Discrimination of regulatory DNA by SVM on the basis of over- and under-represented motifs [Details]

Pierre-Antoine Absil

• ESANN 2009 - Gene expression data analysis using spatiotemporal blind source separation [Details]
• ESANN 2010 - Oriented Bounding Box Computation Using Particle Swarm Optimization [Details]

I. Acedevo-Sotoca

• ESANN 1994 - A general model for higher order neurons [Details]

F. Acerra

• ESANN 1999 - Modeling face recognition learning in early infant development [Details]

J. I. Acha

• ESANN 2003 - Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation [Details]

Sophie Achard

• ESANN 2009 - Sparse differential connectivity graph of scalp EEG for epileptic patients [Details]

R. Adamczak

• ESANN 1997 - Extraction of crisp logical rules using constrained backpropagation networks [Details]
• ESANN 2001 - Constructive density estimation network based on several different separable transfer functions [Details]

Rod Adams

• ESANN 2004 - Non-Euclidean norms and data normalisation [Details]
• ESANN 2005 - TreeGNG - hierarchical topological clustering [Details]
• ESANN 2006 - Topological Correlation [Details]
• ESANN 2006 - Using sampling methods to improve binding site predictions [Details]
• ESANN 2006 - Gaussian and exponential architectures in small-world associative memories [Details]
• ESANN 2007 - Sparsely-connected associative memory models with displaced connectivity [Details]
• ESANN 2008 - Using graph-theoretic measures to predict the performance of associative memory models [Details]
• ESANN 2009 - Connection strategy and performance in sparsely connected 2D associative memory models with non-random images [Details]
• ESANN 2010 - The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes [Details]

Bofill-i-Petit Adria

• ESANN 2004 - Neural Hardware: beyond ones and zeros [Details]

Sumeet Agarwal

• ESANN 2007 - Kernel-based online machine learning and support vector reduction [Details]

Nuria Agell

• ESANN 2009 - SVM-based learning method for improving colour adjustment in automotive basecoat manufacturing [Details]

Ali Aghagholzadeh

• ESANN 2006 - Application of Artificial Neural Networks in Grading of Iranian's Export Pistachio Nuts [Details]

J. C. Aguado

• ESANN 1994 - Capabilities of a structured neural network. Learning and comparison with classical techniques [Details]

J. Aguilar-Martin

• ESANN 1996 - A fast Bayesian algorithm for Boolean functions synthesis by means of perceptron networks [Details]

Khurshid Ahmad

• ESANN 2005 - Learning to classify a collection of images and texts [Details]

I. Ahrns

• ESANN 1996 - Praticing Q-learning [Details]

G. L. Aiello

• ESANN 2000 - Nonsynaptically connected neural nets [Details]

Gaetano Liborio Aiello

• ESANN 2007 - informational cost in correlation-based neuronal networks [Details]

Gaetano Aiello

• ESANN 2008 - Noise influence on correlated activities in a modular neuronal network: from synapses to functional connectivity [Details]

Fabio Aiolli

• ESANN 2007 - "Kernelized" Self-Organizing Maps for Structured Data [Details]
• ESANN 2009 - Supervised learning as preference optimization [Details]

I. Aizenberg

• ESANN 1998 - Ultrasound medical image processing using cellular neural networks [Details]

N. Aizenberg

• ESANN 1998 - Ultrasound medical image processing using cellular neural networks [Details]

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