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
André Carvalho
  • ESANN 2007 - Clustering using genetic algorithm combining validation criteria [Details]
Thiago Vieira de Carvalho
  • ESANN 2005 - Using CMU PIE Human Face Database to a Convolutional Neural Network - Neocognitron [Details]
Diego Carvalho
  • ESANN 2017 - A neuro-symbolic approach to GPS trajectory classification [Details]
Rafael Carvalho
  • ESANN 2015 - A WiSARD-based multi-term memory framework for online tracking of objects [Details]
Raul V. Casaña-Eslava
  • ESANN 2016 - Performance assessment of quantum clustering in non-spherical data distributions [Details]
Carlo Casarino
  • ESANN 2007 - informational cost in correlation-based neuronal networks [Details]
  • ESANN 2008 - Noise influence on correlated activities in a modular neuronal network: from synapses to functional connectivity [Details]
Juan P. Casas
  • ESANN 2014 - A Random Forest proximity matrix as a new measure for gene annotation [Details]
Bruno Casella
  • ESANN 2024 - Federated Learning in a Semi-Supervised Environment for Earth Observation Data [Details]
  • ESANN 2024 - Federated Time Series Classification with ROCKET features [Details]
Naomi Caselli
  • ESANN 2023 - Exploring Strategies for Modeling Sign Language Phonology [Details]
Daniele Castellana
  • ESANN 2025 - Generate Polyphonic Music with Multivariate Masked Autoregressive Flow [Details]
Daniele Castellana
  • ESANN 2018 - Mixture of Hidden Markov Model as Tree Encoder [Details]
Daniele Castellana
  • ESANN 2020 - Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data [Details]
Alejandro Castellanos Alonso
  • ESANN 2024 - Human Activity Recognition from Thigh and Wrist Accelerometry [Details]
Claudio Castellanos Sánchez
  • ESANN 2008 - Neuromimetic motion indicator for visual perception [Details]
Germán Castellanos-Dominguez
  • ESANN 2013 - Automatic Singular Spectrum Analysis for Time-Series Decomposition [Details]
  • ESANN 2013 - Normalized cuts clustering with prior knowledge and a pre-clustering stage [Details]
  • ESANN 2013 - support vector machine-based aproach for multi-labelers problems [Details]
  • ESANN 2014 - A multi-class extension for multi-labeler support vector machines [Details]
  • ESANN 2014 - Optimal Data Projection for Kernel Spectral Clustering [Details]
Enrique Castillo
  • ESANN 2004 - Shear strength prediction using dimensional analysis and functional networks [Details]
  • ESANN 2005 - a new wrapper method for feature subset selection [Details]
Pedro A. Castillo
  • ESANN 2018 - Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir [Details]
F. Castillo
  • ESANN 1993 - Enhanced unit training for piecewise linear seperation incremental algorithms [Details]
  • ESANN 1994 - Improving piecewise linear separation incremental algorithms using complexity reduction methods [Details]
  • ESANN 1995 - A deterministic method for establishing the initial conditions in the RCE algorithm [Details]
Guillermo Castillo García
  • No papers found
Guillermo Castillo García
  • ESANN 2023 - Efficient feature selection for domain adaptation using Mutual Information Maximization [Details]
Guillermo Castillo García
  • ESANN 2022 - Feature selection for transfer learning using particle swarm optimization and complexity measures [Details]
Lauriane Castin
  • ESANN 2018 - clustering with decision trees: divisive and agglomerative approach [Details]
Cristiano Castro
  • ESANN 2015 - Gabriel Graph for Dataset Structure and Large Margin Classification: A Bayesian Approach [Details]
Andrés Eduardo Castro-Ospina
  • ESANN 2013 - Normalized cuts clustering with prior knowledge and a pre-clustering stage [Details]
Andreu Català
  • ESANN 2013 - Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments [Details]
A. Catala
  • ESANN 1998 - A Tikhonov approach to calculate regularisation matrices [Details]
  • ESANN 2001 - Learning fault-tolerance in Radial Basis Function Networks [Details]
  • ESANN 2002 - An unified framework for 'All data at once' multi-class Support Vector Machines [Details]
  • ESANN 2002 - Rule extraction from support vector machines [Details]
A. Catala Mallofre
  • ESANN 1996 - A fast Bayesian algorithm for Boolean functions synthesis by means of perceptron networks [Details]
Alejandro Catalina
  • ESANN 2018 - Revisiting FISTA for Lasso: Acceleration Strategies Over The Regularization Path [Details]
Angel Cataron
  • ESANN 2004 - An informational energy LVQ approach for feature ranking [Details]
R. Caterini
  • ESANN 1993 - EEG paroxystic activity detected by neural natworks after wavelet transform analysis [Details]