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
Felipe Martins
  • ESANN 2016 - Human detection and classification of landing sites for search and rescue drones [Details]
Denis Martins
  • ESANN 2023 - End-to-End Neural Network Training for Hyperbox-Based Classification [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 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]
Estelle Massart
  • ESANN 2023 - Coordinate descent on the Stiefel manifold for deep neural network training [Details]
Riccardo Massidda
  • ESANN 2024 - Large-Scale Continuous Structure Learning from Time-Series Data [Details]
De gregorio Massimo
  • ESANN 2015 - Memory Transfer in DRASiW–like Systems [Details]
L. Massotti
  • ESANN 2003 - Post-failure analysis of an adaptive predictor-corrector neural controller on a flight simulator [Details]
H.A.K. Mastebroeck
  • ESANN 1998 - Construction of an interactive and competitive artificial neural network for the solution of path planning problems [Details]
H.A.K. Mastebroek
  • ESANN 1996 - Neurotransmitterdynamics in a model of a movement detecting visual system [Details]
Fulvio Mastrogiovanni
  • ESANN 2026 - Multi-label Complementary Labels Learning under Hard Logical Constraints [Details]
Antonio Mastropietro
  • ESANN 2025 - Implicit Neural Decision Trees [Details]
Michele Mastropietro
  • ESANN 2020 - ASAP - A Sub-sampling Approach for Preserving Topological Structures [Details]
Giona Matasci
  • ESANN 2013 - Multi-view feature extraction for hyperspectral image classification [Details]
Fernando Mateo
  • ESANN 2013 - Feature Selection for Footwear Shape Estimation [Details]
  • ESANN 2013 - Machine Learning Techniques for Short-Term Electric Power Demand Prediction [Details]
  • ESANN 2013 - Temperature Forecast in Buildings Using Machine Learning Techniques [Details]
  • ESANN 2016 - Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data [Details]
Benoit Matet
  • ESANN 2021 - A Lightweight Approach for Origin-Destination Matrix Anonymization [Details]
Ismael Matino
  • ESANN 2021 - Echo-state neural networks forecasting steelworks off-gases for their dispatching in CH4 and CH3OH syntheses reactors [Details]
Federico Matteoni
  • ESANN 2022 - Continual Learning for Human State Monitoring [Details]
Federico Matteoni
  • No papers found
D. Mattera
  • ESANN 1999 - Generalized support vector machines [Details]
  • ESANN 1999 - Independent component analysis for mixture densities [Details]
Matteo Matteucci
  • ESANN 2024 - An Efficient Neural Architecture Search Model for Medical Image Classification [Details]
  • ESANN 2024 - Stable Diffusion Dataset Generation for Downstream Classification Tasks [Details]
Pepper Matthew
  • ESANN 2012 - Highly efficient localisation utilising weightless neural systems [Details]