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
Diego Fernandez-Francos
  • ESANN 2016 - One-class classification algorithm based on convex hull [Details]
  • ESANN 2017 - Mutual information for improving the efficiency of the SCH algorithm [Details]
M. Fernandez-Redondo
  • ESANN 2000 - Influence of weight-decay training in input selection methods [Details]
  • ESANN 2001 - Coding the outputs of multilayer feedforward [Details]
  • ESANN 2001 - Weight initialization methods for multilayer feedforward [Details]
  • ESANN 2003 - A new rule extraction algorithm based on interval arithmetic [Details]
  • ESANN 2003 - Ensemble Methods for Multilayer Feedforward [Details]
Daniel Fernández-Sánchez
  • ESANN 2024 - Joint Entropy Search for Multi-objective Bayesian Optimization with Constraints and Multiple Fidelities [Details]
Isaac Fernández-Varela
  • ESANN 2016 - Automatic detection of EEG arousals [Details]
  • ESANN 2017 - Outlining a simple and robust method for the automatic detection of EEG arousals [Details]
  • ESANN 2018 - Sleep staging with deep learning: a convolutional model [Details]
Fabrice Ferrand
  • ESANN 2014 - The one-sided mean kernel: a positive definite kernel for time series [Details]
Rafael Ferrari
  • ESANN 2013 - Error entropy criterion in echo state network training [Details]
Carolina Ferraz
  • ESANN 2023 - Automated green machine learning for condition-based maintenance [Details]
J. Ferre-Gine
  • ESANN 1997 - A fuzzy Artmap neural system for the prediction of turbulent velocity fields [Details]
Artur Ferreira
  • ESANN 2006 - Hybrid generative/discriminative training of radial basis function networks [Details]
  • ESANN 2011 - Unsupervised feature selection for sparse data [Details]
A. Ferreira
  • ESANN 2000 - Chaotic time series prediction using the Kohonen algorithm [Details]
Janderson Ferreira
  • ESANN 2020 - CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning [Details]
Jorge Ferreira
  • ESANN 2004 - Data Mining Techniques on the Evaluation of Wireless Churn [Details]
Willian Ferreira
  • ESANN 2025 - Evolutionary Fault Localization Based on the Diversity of Suspiciousness Values [Details]
Javier Ferrer
  • ESANN 2008 - Multilayer perceptron to model the decarburization process in stainless steel production [Details]
Elena Festa
  • ESANN 2007 - Classifying n-back EEG data using entropy and mutual information features [Details]
J.N. Fidalgo
  • ESANN 2000 - Load forecasting dealing with medium voltage network reconfiguration [Details]
E. Fiesler
  • ESANN 1997 - The class of linear separability method [Details]
Anibal R. Figueiras-Vidal
  • ESANN 2005 - An On-line Fisher Discriminant [Details]
  • ESANN 2005 - Boosting by weighting boundary and erroneous samples [Details]
  • ESANN 2006 - Designing neural network committees by combining boosting ensembles [Details]
  • ESANN 2008 - An emphasized target smoothing procedure to improve MLP classifiers performance [Details]
  • ESANN 2008 - K-nearest neighbours based on mutual information for incomplete data classification [Details]
  • ESANN 2010 - A pseudoregression formulation of emphasized soft target procedures for classification problems [Details]
Anibal Figueiras-Vidal
  • ESANN 2012 - An Exploration of Research Directions in Machine Ensemble Theory and Applications [Details]
  • ESANN 2016 - An Experiment in Pre-Emphasizing Diversified Deep Neural Classifiers [Details]
Mario Figueiredo
  • ESANN 2006 - Hybrid generative/discriminative training of radial basis function networks [Details]
  • ESANN 2011 - Unsupervised feature selection for sparse data [Details]
Mário Figueiredo
  • ESANN 2020 - Equilibrium Propagation for Complete Directed Neural Networks [Details]
  • ESANN 2020 - Variational MIxture of Normalizing Flows [Details]
Andrey Filchenkov
  • ESANN 2015 - PCA-based algorithm for feature score measures ensemble construction [Details]
  • ESANN 2018 - Pollen grain recognition using convolutional neural network [Details]
Jose Barbosa Filho
  • ESANN 2019 - Modeling Sparse Data as Input for Weightless Neural Network [Details]
E. Filippi
  • ESANN 1994 - Combining multi-layer perceptrons in classification problems [Details]
Anthony Fillion
  • No papers found
Anthony Fillion
  • ESANN 2022 - A bayesian variational principle for dynamic self organizing maps [Details]
Panagiotis Filntisis
  • ESANN 2023 - Multimodal Recognition of Valence, Arousal and Dominance via Late-Fusion of Text, Audio and Facial Expressions [Details]
Alan Fine
  • ESANN 2005 - A multi-modular associator network for simple temporal sequence learning and generation [Details]
Jérôme Fink
  • No papers found
Jérôme Fink
  • ESANN 2022 - Towards Better Transition Modeling in Recurrent Neural Networks: the Case of Sign Language Tokenization [Details]
  • ESANN 2023 - Trends and Challenges for Sign Language Recognition with Machine Learning [Details]
  • ESANN 2024 - Leveraging endoscopic data with Contrastive Learning for Crohn’s disease detection [Details]
  • ESANN 2025 - Benchmarking Data Augmentation for Contrastive Learning in Static Sign Language Recognition [Details]