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
Anarta Ghosh
  • ESANN 2005 - The dynamics of Learning Vector Quantization [Details]
  • ESANN 2007 - On the dynamics of Vector Quantization and Neural Gas [Details]
  • ESANN 2008 - Phase transitions in Vector Quantization [Details]
Sreejita Ghosh
  • ESANN 2017 - Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders [Details]
Ranadhir Ghosh
  • ESANN 2004 - A Modular Framework for Multi category feature selection in Digital mammography [Details]
Moumita Ghosh
  • ESANN 2004 - A Modular Framework for Multi category feature selection in Digital mammography [Details]
Lahouari Ghouti
  • ESANN 2014 - Mobility Prediction Using Fully-Complex Extreme Learning Machines [Details]
  • ESANN 2014 - NMF-Density: NMF-Based Breast Density Classifier [Details]
  • ESANN 2019 - On the Speedup of Deep Reinforcement Learning Deep Q-Networks (RL-DQNs) [Details]
L. Ghouti
  • ESANN 2002 - Use of artificial neural networks process analyzers: a case study [Details]
Robin Ghyselinck
  • ESANN 2024 - Leveraging endoscopic data with Contrastive Learning for Crohn’s disease detection [Details]
Giorgia Giacomini
  • ESANN 2020 - Graph Neural Networks for the Prediction of Protein-Protein Interfaces [Details]
N. Giambiasi
  • ESANN 1993 - An algorithm to learn sequences within the connectionist sequential machine [Details]
Petros Giannakopoulos
  • ESANN 2017 - A Deep Q-Learning Agent for L-Game with Variable Batch Training [Details]
Nikolaos Gianniotis
  • ESANN 2007 - Visualisation of tree-structured data through generative probabilistic modelling [Details]
  • ESANN 2015 - Autoencoding time series for visualisation [Details]
  • ESANN 2016 - Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs [Details]
Nikos Gianniotis
  • ESANN 2024 - Positive and Scale Invariant Gaussian Process Latent Variable Model for Astronomical Spectra [Details]
Michalis Giannopoulos
  • ESANN 2017 - Application of Tensor and Matrix Completion on Environmental Sensing Data [Details]
Agostino Gibaldi
  • ESANN 2009 - A neural model for binocular vergence control without explicit calculation of disparity [Details]
Guillaume Gibert
  • ESANN 2009 - Sensors selection for P300 speller brain computer interface [Details]
W.G. Gibson
  • ESANN 1994 - Stability and bifurcation in an autoassociative memory model [Details]
Fabian Gieseke
  • ESANN 2014 - Speedy greedy feature selection: Better redshift estimation via massive parallelism [Details]
  • ESANN 2016 - Parallelized rotation and flipping INvariant Kohonen maps (PINK) on GPUs [Details]
Fabian Gieseke
  • ESANN 2023 - End-to-End Neural Network Training for Hyperbox-Based Classification [Details]
P. Gili
  • ESANN 2003 - Post-failure analysis of an adaptive predictor-corrector neural controller on a flight simulator [Details]
P. A. Gili
  • ESANN 2000 - A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model [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]
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]
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]