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
Francisco Javiel Gil Gala
  • ESANN 2025 - Influence of function nodes on automated generation of routing policies with genetic programming [Details]
P. A. Gili
  • ESANN 2000 - A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model [Details]
P. Gili
  • ESANN 2003 - Post-failure analysis of an adaptive predictor-corrector neural controller on a flight simulator [Details]
Jussi Gillberg
  • ESANN 2012 - Sparse Nonparametric Topic Model for Transfer Learning [Details]
Nicolas Gillis
  • ESANN 2013 - ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to Clustering [Details]
achmad ginanjar
  • ESANN 2025 - Continual Contrastive Learning on Tabular Data with Out of Distribution [Details]
Tobias Gindele
  • ESANN 2016 - Simultaneous estimation of rewards and dynamics from noisy expert demonstrations [Details]
Filip Ginter
  • ESANN 2020 - Entity-Pair Embeddings for Improving Relation Extraction in the Biomedical Domain [Details]
Maurizio Giordano
  • ESANN 2013 - WIPS: the WiSARD Indoor Positioning System [Details]
  • ESANN 2014 - Can you follow that guy? [Details]
  • ESANN 2016 - The WiSARD Classifier [Details]
  • ESANN 2019 - An evolutionary approach for optimizing weightless neural networks [Details]
Ioannis Giotis
  • ESANN 2014 - Segmented shape-symbolic time series representation [Details]
Loïc Giraldi
  • ESANN 2021 - Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation [Details]
Jesús Giraldo
  • ESANN 2010 - Kernel generative topographic mapping [Details]
  • ESANN 2011 - A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences [Details]
  • ESANN 2014 - Misclassification of class C G-protein-coupled receptors as a label noise problem [Details]
F. Giralt
  • ESANN 1997 - A fuzzy Artmap neural system for the prediction of turbulent velocity fields [Details]
B. Girard
  • ESANN 1993 - Time series and neural: a statistical method for weight elimination [Details]
Y. Girard
  • ESANN 1993 - Time series and neural: a statistical method for weight elimination [Details]
Stephane Girard
  • ESANN 2008 - Inverting hyperspectral images with Gaussian Regularized Sliced Inverse Regression [Details]
  • ESANN 2009 - Supervised classification of categorical data with uncertain labels for DNA barcoding [Details]
  • ESANN 2009 - Support vectors machines regression for estimation of mars surface physical properties [Details]
Bernard Girau
  • ESANN 2006 - FPGA implementation of an integrate-and-fire LEGION model for image segmentation [Details]
  • ESANN 2008 - A neural model with feedback for robust disambiguation of motion [Details]
B. Girau
  • ESANN 2000 - Simplified neural architectures for symmetric boolean functions [Details]
Amita Giri
  • ESANN 2024 - EEG Source Imaging Enhances Motor Imagery Classification [Details]
Thomas Girod
  • ESANN 2007 - Toward a robust 2D spatio-temporal self-organization [Details]
M. Girolami
  • ESANN 1997 - Independence is far from normal [Details]
  • ESANN 2000 - A generative model for sparse discrete binary data with non-uniform categorical priors [Details]
Andrej Gisbrecht
  • ESANN 2010 - Relational Generative Topographic Map [Details]
  • ESANN 2010 - Relevance learning in generative topographic maps [Details]
  • ESANN 2012 - Out-of-sample kernel extensions for nonparametric dimensionality reduction [Details]
  • ESANN 2012 - Relevance learning for time series inspection [Details]
  • ESANN 2012 - Visualizing the quality of dimensionality reduction [Details]
  • ESANN 2013 - Visualizing dependencies of spectral features using mutual information [Details]
  • ESANN 2014 - Relevance Learning for Dimensionality Reduction [Details]
  • ESANN 2015 - Probabilistic Classification Vector Machine at large scale [Details]
M. Giudici
  • ESANN 2002 - Evaluation of gradient descent learning algorithms with adaptive and local learning rate for recognising hand-written numerals [Details]
Mario Valerio Giuffrida
  • ESANN 2024 - Federated Learning in a Semi-Supervised Environment for Earth Observation Data [Details]
D. Giuliani
  • ESANN 1997 - Speaker normalization with a mixture of recurrent networks [Details]
Claudio Giuliano
  • ESANN 2009 - A semi-supervised approach to question classification [Details]
Tobias Glasmachers
  • ESANN 2006 - Degeneracy in model selection for SVMs with radial Gaussian kernel [Details]
  • ESANN 2008 - On related violating pairs for working set selection in SMO algorithms [Details]
Patrick Glauner
  • ESANN 2017 - The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study [Details]
  • ESANN 2018 - Impact of Biases in Big Data [Details]
François Glineur
  • ESANN 2013 - A nuclear-norm based convex formulation for informed source separation [Details]
  • ESANN 2013 - ONP-MF: An Orthogonal Nonnegative Matrix Factorization Algorithm with Application to Clustering [Details]
  • ESANN 2019 - Nonnegative matrix factorization with polynomial signals via hierarchical alternating least squares [Details]
François Glineur
  • ESANN 2020 - Image completion via nonnegative matrix factorization using B-splines [Details]
  • ESANN 2020 - Lower bounds on the nonnegative rank using a nested polytopes formulation [Details]
  • ESANN 2021 - Transfer learning in Bayesian optimization for the calibration of a beam line in proton therapy [Details]
  • ESANN 2024 - Convergence analysis of an inexact gradient method on smooth convex functions [Details]