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
Tony Martinez
  • ESANN 2005 - Domain expert approximation through oracle learning [Details]
D. Martinez
  • ESANN 2000 - Support Vector Committee Machines [Details]
  • ESANN 2002 - Kernel Temporal Component Analysis (KTCA) [Details]
  • ESANN 2003 - An event-driven framework for the simulation of networks of spiking neurons [Details]
Régis Martinez
  • ESANN 2007 - A supervised learning approach based on STDP and polychronization in spiking neuron networks [Details]
J.A. Martinez Heras
  • ESANN 2001 - A two steps method: non linear regression and pruning neural network for analyzing multicomponent mixtures [Details]
José María Martínez Martínez
  • ESANN 2014 - Ensembles of extreme learning machine networks for value prediction [Details]
Javier Martinez Rodriguez
  • ESANN 2023 - Exploring the Importance of Sign Language Phonology for a Deep Neural Network [Details]
J. Martinez-Cabeza de Vaca Alajarin
  • ESANN 1999 - Marble slabs quality classification system using texture recognition and neural networks methodology [Details]
José M. Martínez-Martínez
  • ESANN 2012 - Regularized Committee of Extreme Learning Machine for Regression Problems [Details]
  • ESANN 2012 - extended visualization method for classification trees [Details]
  • ESANN 2013 - Least-squares temporal difference learning based on extreme learning machine [Details]
  • ESANN 2013 - Machine Learning Techniques for Short-Term Electric Power Demand Prediction [Details]
  • ESANN 2013 - ManiSonS: A New Visualization Tool for Manifold Clustering [Details]
  • ESANN 2013 - Temperature Forecast in Buildings Using Machine Learning Techniques [Details]
Gonzalo Martínez-Muñoz
  • No papers found
Gonzalo Martínez-Muñoz
  • ESANN 2022 - Multioutput Regression Neural Network Training via Gradient Boosting [Details]
Gonzalo Martínez-Muñoz
  • ESANN 2012 - On the Independence of the Individual Predictions in Parallel Randomized Ensembles [Details]
  • ESANN 2014 - Improving the Robustness of Bagging with Reduced Sampling Size [Details]
David Martínez-Rego
  • ESANN 2008 - A Method for Time Series Prediction using a Combination of Linear Models [Details]
  • ESANN 2012 - One-class classifier based on extreme value statistics [Details]
  • ESANN 2014 - Modeling consumption of contents and advertising in online newspapers [Details]
  • ESANN 2016 - A fast learning algorithm for high dimensional problems: an application to microarrays [Details]
  • ESANN 2017 - Algorithmic challenges in big data analytics [Details]
  • ESANN 2017 - Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing [Details]
Marcelino Martínez-Sober
  • ESANN 2012 - Regularized Committee of Extreme Learning Machine for Regression Problems [Details]
  • ESANN 2016 - Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data [Details]
Marcelino Martinez-Sober
  • ESANN 2021 - End-to-end Keyword Spotting using Xception-1d [Details]
Giovanni Da San Martino
  • ESANN 2011 - Sparsity Issues in Self-Organizing-Maps for Structures [Details]
Sergio Martinoia
  • ESANN 2004 - Integrated low noise signal conditioning interface for neuroengineering applications [Details]
Andreia S. Martins
  • ESANN 2024 - Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis [Details]
Denis Martins
  • ESANN 2023 - End-to-End Neural Network Training for Hyperbox-Based Classification [Details]
Felipe Martins
  • ESANN 2016 - Human detection and classification of landing sites for search and rescue drones [Details]
Jérémie Mary
  • ESANN 2006 - Learning for stochastic dynamic programming [Details]
Youssef Marzouk
  • ESANN 2017 - Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation [Details]
Kirmene Marzouki
  • ESANN 2005 - Novel Algorithm for Eliminating Folding Effect in Standard SOM [Details]
Aldo Marzullo
  • ESANN 2018 - Graph based neural networks for automatic classification of multiple sclerosis clinical courses [Details]
Marta Maschietto
  • ESANN 2023 - Real-time Detection of Evoked Potentials by Deep Learning: a Case Study [Details]
Salvatore Masecchia
  • ESANN 2013 - A dictionary learning based method for aCGH segmentation [Details]
Luca Masera
  • ESANN 2019 - Very Simple Classifier: a concept binary classifier to investigate features based on subsampling and locality [Details]
Alexandr Maslov
  • ESANN 2014 - Region of interest detection using MLP [Details]
C. Masoller
  • ESANN 2003 - Anticipated synchronization in neuron models [Details]
Estelle Massart
  • ESANN 2023 - Coordinate descent on the Stiefel manifold for deep neural network training [Details]
Estelle Massart
  • ESANN 2016 - Extending a two-variable mean to a multi-variable mean [Details]
  • ESANN 2017 - Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation [Details]
  • ESANN 2019 - Interpolation on the manifold of fixed-rank positive-semidefinite matrices for parametric model order reduction: preliminary results [Details]