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
Jean Golay
  • ESANN 2015 - Morisita-based feature selection for regression problems [Details]
Boris Golden
  • ESANN 2015 - Reducing offline evaluation bias of collaborative filtering [Details]
  • ESANN 2015 - Using the Mean Absolute Percentage Error for Regression Models [Details]
C. Goller
  • ESANN 1999 - Learning search-control heuristics for automated deduction systems with folding architecture networks [Details]
Joao Gomes
  • ESANN 2016 - K-means for Datasets with Missing Attributes: Building Soft Constraints with Observed and Imputed Values [Details]
  • ESANN 2016 - Using Robust Extreme Learning Machines to Predict Cotton Yarn Strength and Hairiness [Details]
  • ESANN 2017 - A Robust Minimal Learning Machine based on the M-Estimator [Details]
  • ESANN 2019 - Sparse minimal learning machine using a diversity measure minimization [Details]
João Gomes
  • ESANN 2022 - Predicting Test Execution Times with Asymmetric Random Forests [Details]
João Gomes
  • No papers found
Heitor Murilo Gomes
  • ESANN 2018 - Adaptive random forests for data stream regression [Details]
Juan Gómez
  • ESANN 2011 - Growing Hierarchical Sectors on Sectors [Details]
Faustino Gomez
  • ESANN 2006 - Evolino for recurrent support vector machines [Details]
Sandra Gómez Canaval
  • ESANN 2016 - Parallelized unsupervised feature selection for large-scale network traffic analysis [Details]
  • ESANN 2017 - Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure [Details]
Felipe Gomez Marulanda
  • ESANN 2019 - Deep hybrid approach for 3D plane segmentation [Details]
Marcelo Gómez-Casal
  • ESANN 2018 - LANN-DSVD: A privacy-preserving distributed algorithm for machine learning [Details]
Jose Antonio Gomez-Ruiz
  • ESANN 2007 - Spicules-based competitive neural network [Details]
Juan Gómez-Sanchis
  • ESANN 2021 - End-to-end Keyword Spotting using Xception-1d [Details]
Juan Gómez-Sanchis
  • ESANN 2012 - extended visualization method for classification trees [Details]
  • ESANN 2013 - Least-squares temporal difference learning based on extreme learning machine [Details]
  • ESANN 2016 - Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data [Details]
Juan Gómez-Sanchis
  • ESANN 2021 - End-to-end Keyword Spotting using Xception-1d [Details]
Vanessa Gómez-Verdejo
  • 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]
Nicolas Gomond
  • ESANN 2006 - Extended model of conditioned learning within latent inhibition [Details]
Luis Gonçalves
  • ESANN 2016 - Feature definition, analysis and selection for lung nodule classification in chest computerized tomography images [Details]
J. Gonzales
  • ESANN 2002 - Evaluating the impact of multiplicative input perturbations on radial basis function networks [Details]
A.I. Gonzales
  • ESANN 1997 - Self organizing map for adaptive non-stationary clustering: some experimental results on color quantization of image sequences [Details]
Luis González
  • ESANN 2007 - Interval discriminant analysis using support vector machines [Details]
Jesús González
  • ESANN 2004 - MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality [Details]
L. González
  • ESANN 2003 - 1-v-1 Tri-Class SV Machine [Details]
Sara Gonzalez Andino
  • ESANN 2009 - Multiclass brain computer interface based on visual attention [Details]
Mabel González Castellanos
  • ESANN 2010 - KNN behavior with set-valued attributes [Details]
Félix Fernando González Navarro
  • ESANN 2008 - Feature Selection in Proton Magnetic Resonance Spectroscopy for Brain Tumor Classification [Details]
Luis Gonzalez-Abril
  • ESANN 2011 - A post-processing strategy for SVM learning from unbalanced data [Details]
Andreu González-Calabuig
  • ESANN 2017 - High dimensionality voltammetric biosensor data processed with artificial neural networks [Details]
Ana Gonzalez-Muñiz
  • ESANN 2022 - Interactive dual projections for gene expression analysis [Details]
  • ESANN 2022 - Interactive visual analytics for medical data: application to COVID-19 clinical information during the first wave [Details]