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
Alicja Martinek
  • ESANN 2024 - Large Language Models as Tuning Agents of Metaheuristics [Details]
Fabio Martinelli
  • ESANN 2021 - Robust Malware Classification via Deep Graph Networks on Call Graph Topologies [Details]
Thomas Martinetz
  • ESANN 2024 - AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight Cameras [Details]
  • ESANN 2025 - Deciphering Barlow Twins: Reduncy Reduction is Insufficient and Normalization is Key [Details]
  • ESANN 2025 - Investigating the Impact of Imbalanced Medical Data on the Performance of Self-Supervised Learning Approaches [Details]
Thomas Martinetz
  • ESANN 2006 - OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method [Details]
  • ESANN 2007 - Explicit Kernel Rewards Regression for data-efficient near-optimal policy identification [Details]
  • ESANN 2007 - Neural Rewards Regression for near-optimal policy identification in Markovian and partial observable environments [Details]
  • ESANN 2007 - The Intrinsic Recurrent Support Vector Machine [Details]
  • ESANN 2008 - Learning Data Representations with Sparse Coding Neural Gas [Details]
  • ESANN 2010 - Learning sparse codes for image reconstruction [Details]
  • ESANN 2014 - Learning and modeling big data [Details]
T. Martinetz
  • ESANN 2003 - Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis [Details]
José M Martínez
  • ESANN 2011 - Analysis of a Reinforcement Learning algorithm using Self-Organizing Maps [Details]
  • ESANN 2011 - Growing Hierarchical Sectors on Sectors [Details]
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 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]
Gonzalo Martínez-Muñoz
  • ESANN 2022 - Multioutput Regression Neural Network Training via Gradient Boosting [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]
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]
Andreia S. Martins
  • ESANN 2024 - Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis [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]