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
Brunno F. Goldstein
  • ESANN 2020 - Fast Deep Neural Networks Convergence using a Weightless Neural Model [Details]
Sarah Fabi
  • ESANN 2020 - Sequence Classification using Ensembles of Recurrent Generative Expert Modules [Details]
Patrick Fabiani
  • ESANN 2024 - Aeronautic data analysis [Details]
Ronan Fablet
  • ESANN 2017 - Non-negative decomposition of geophysical dynamics [Details]
A. Fache
  • ESANN 1999 - A general approach to construct RBF net-based classifier [Details]
  • ESANN 1999 - On the invertibility of the RBF model in a predictive control strategy [Details]
Labiba Gillani Fahad
  • ESANN 2013 - Long term analysis of daily activities in smart home [Details]
Jan Faigl
  • ESANN 2011 - Multi-Goal Path Planning Using Self-Organizing Map with Navigation Functions [Details]
  • ESANN 2014 - Self-organizing map for determination of goal candidates in mobile robot exploration [Details]
Ali Faisal
  • ESANN 2012 - Sparse Nonparametric Topic Model for Transfer Learning [Details]
Bruno Faivre
  • ESANN 2015 - Efficient unsupervised clustering for spatial birds population analysis along the river Loire [Details]
Mélanie Falgairolle
  • ESANN 2004 - Computational model of amygdala network supported by neurobiological data [Details]
Ali Fallah Tehrani
  • ESANN 2014 - The Choquet kernel for monotone data [Details]
Egidio Falotico
  • ESANN 2018 - Spatial pooling as feature selection method for object recognition [Details]
O. Fambon
  • ESANN 1994 - A comparison of two weight pruning methods [Details]
  • ESANN 1995 - Invited paper: Pruning methods: a review [Details]
  • ESANN 1995 - Pruning kernel density estimators [Details]
A.M. Fanelli
  • ESANN 1995 - An asymmetric associative memory model based on relaxation labeling processes [Details]
Denis G. Fantinato
  • ESANN 2016 - An Immune-Inspired, Dependence-Based Approach to Blind Inversion of Wiener Systems [Details]
Denis Fantinato
  • ESANN 2013 - Error entropy criterion in echo state network training [Details]
C. Fantuzzi
  • ESANN 2002 - Neural networks for fault diagnosis and identification of industrial processes [Details]
Nadir Farah
  • ESANN 2005 - Artificial neural network fusion: Application to Arabic words recognition [Details]
Hafez Farazi
  • ESANN 2019 - Frequency Domain Transformer Networks for Video Prediction [Details]
Hafez Farazi
  • ESANN 2020 - Motion Segmentation using Frequency Domain Transformer Networks [Details]
  • ESANN 2021 - Semantic Prediction: Which One Should Come First, Recognition or Prediction? [Details]
Fabrício Faria
  • ESANN 2017 - Scholar Performance Prediction using Boosted Regression Trees Techniques [Details]
Alexandre Wagner Chagas Faria
  • ESANN 2014 - A new approach for multiple instance learning based on a homogeneity bag operator [Details]
M. S. Fariñas
  • ESANN 2003 - Mixture of Experts and Local-Global Neural Networks [Details]
Pierre-Andre Farine
  • ESANN 2012 - Implementation Issues of Kohonen Self-Organizing Map Realized on FPGA [Details]
  • ESANN 2012 - Low-Power Manhattan Distance Calculation Circuit for Self-Organizing Neural Networks Implemented in the CMOS Technology [Details]
Hossam Faris
  • ESANN 2018 - Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir [Details]
Igor Farkas
  • ESANN 2007 - Systematicity in sentence processing with a recursive self-organizing neural network [Details]
William H. Farrand
  • ESANN 2012 - Unmixing Hyperspectral Images with Fuzzy Supervised Self-Organizing Maps [Details]
Georgina Faura
  • ESANN 2017 - High dimensionality voltammetric biosensor data processed with artificial neural networks [Details]
Cynthia Faure
  • ESANN 2016 - Comparison of three algorithms for parametric change-point detection [Details]
Stefan Faußer
  • ESANN 2014 - Selective Neural Network Ensembles in Reinforcement Learning [Details]