Electronic proceedings author index

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z
Marco Gori
  • ESANN 2025 - Stability of State and Costate Dynamics in Continuous Time Recurrent Neural Networks [Details]
Dirk Gorissen
  • ESANN 2007 - Adaptive Global Metamodeling with Neural Networks [Details]
Juan Manuel Gorriz
  • ESANN 2004 - ON-LINE SUPPORT VECTOR MACHINES AND OPTIMIZATION STRATEGIES [Details]
D. Gorse
  • ESANN 1993 - Traking global minima using a range expansion algorithm [Details]
Denise Gorse
  • ESANN 2011 - Application of stochastic recurrent reinforcement learning to index trading [Details]
  • ESANN 2013 - Binary particle swarm optimisation with improved scaling behaviour [Details]
  • ESANN 2017 - Pseudo-analytical solutions for stochastic options pricing using Monte Carlo simulation and Breeding PSO-trained neural networks [Details]
  • ESANN 2018 - A neural network cost function for highly class-imbalanced data sets [Details]
  • ESANN 2018 - Reinforcement Learning for High-Frequency Market Making [Details]
K. Goser
  • ESANN 1993 - Three algorithms for searching the minimum distance in the self-organizing maps [Details]
  • ESANN 1994 - Self-organizing maps based on differential equations [Details]
Bernard Gosselin
  • No papers found
Philippe-Henri Gosselin
  • ESANN 2012 - Linear kernel combination using boosting [Details]
  • ESANN 2013 - Machine Learning and Content-Based Multimedia Retrieval [Details]
  • ESANN 2014 - Dimensionality reduction in decentralized networks by Gossip aggregation of principal components analyzers [Details]
  • ESANN 2015 - Asynchronous decentralized convex optimization through short-term gradient averaging [Details]
Bernard Gosselin
  • ESANN 2022 - Semi-synthetic Data for Automatic Drone Shadow Detection [Details]
E. Gotko
  • ESANN 1998 - Ultrasound medical image processing using cellular neural networks [Details]
Michael Götting
  • ESANN 2006 - Adaptive scene-dependent filters in online learning environments [Details]
Hanno Gottschalk
  • ESANN 2025 - Robust Evolutionary Multi-Objective Neural Architecture Search for Reinforcement Learning (EMNAS-RL) [Details]
Stefanos Goumas
  • ESANN 2004 - reduced dimensionality space for post placement quality inspection of components based on neural networks [Details]
Pierre-Yves Gousenbourger
  • ESANN 2016 - Differentiable piecewise-Bézier interpolation on Riemannian manifolds [Details]
  • ESANN 2017 - Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation [Details]
  • ESANN 2019 - Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results [Details]
Cédric Gouy-Pailler
  • ESANN 2009 - Uncued brain-computer interfaces: a variational hidden markov model of mental state dynamics [Details]
  • ESANN 2012 - From neuronal cost-based metrics towards sparse coded signals classification [Details]
Gérard Govaert
  • ESANN 2007 - Learning topology of a labeled data set with the supervised generative gaussian graph [Details]
  • ESANN 2009 - A regression model with a hidden logistic process for signal parametrization [Details]
  • ESANN 2012 - A generative model that learns Betti numbers from a data set [Details]
  • ESANN 2013 - Clustering the Vélib’ origin-destinations flows by means of Poisson mixture models [Details]
Ekaterina Govorkova
  • ESANN 2023 - Knowledge Distillation for Anomaly Detection [Details]
K. Grabczewski
  • ESANN 1997 - Extraction of crisp logical rules using constrained backpropagation networks [Details]
I. Grabec
  • ESANN 1995 - Function approximation by localized basis function neural network [Details]
  • ESANN 1997 - Equivalence of a radial basis function NN and a perceptron [Details]
Igor Grabec
  • No papers found
Torben Graeber
  • ESANN 2021 - AGLVQ - Making Generalized Vector Quantization Algorithms Aware of Context [Details]
T. Graepel
  • ESANN 2000 - Robust Bayes Point Machines [Details]
Axel Graeser
  • ESANN 2009 - Neural network pruning for feature selection - Application to a P300 Brain-Computer Interface [Details]
Gabriele Graffieti
  • ESANN 2021 - Continual Learning at the Edge: Real-Time Training on Smartphone Devices [Details]
Edith Grall-Maes
  • ESANN 2009 - Gaussian Mixture Models for multiclass problems with performance constraints [Details]
  • ESANN 2014 - The one-sided mean kernel: a positive definite kernel for time series [Details]
Alexandre Gramfort
  • ESANN 2019 - Beyond Pham's algorithm for joint diagonalization [Details]
Manuel Graña
  • ESANN 2005 - Morphological memories for feature extraction in hyperspectral images [Details]
  • ESANN 2007 - SOM for intensity inhomogeneity correction in MRI [Details]
M. Grana
  • ESANN 1994 - High-order Boltzmann machines applied to the Monk's problems [Details]
  • ESANN 1996 - Application of high-order Boltzmann machines in OCR [Details]
  • ESANN 1997 - Self organizing map for adaptive non-stationary clustering: some experimental results on color quantization of image sequences [Details]
  • ESANN 1998 - ANN for facial information processing: a review of recent approaches [Details]
  • ESANN 2000 - Competitive neural networks for robust computation of the optical flow [Details]
  • ESANN 2001 - Visual self-localization with morphological neural networks [Details]
  • ESANN 2003 - Associative morphological memories for spectral unmixing [Details]
B. Granado
  • ESANN 2002 - Hardware solutions for implementation of neural networks in High Energy Physics triggers [Details]
Y. Grandvalet
  • ESANN 1995 - Control of complexity in learning with perturbed inputs [Details]