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
Enrique Montiel
  • ESANN 2013 - Feature Selection for Footwear Shape Estimation [Details]
S. Montrozier
  • ESANN 1996 - Regularization and neural computation: application to aerial images analysis [Details]
L. Monzon Benitez
  • ESANN 2000 - Chaotic time series prediction using the Kohonen algorithm [Details]
Joris Mooij
  • ESANN 2011 - Learning of causal relations [Details]
Peter Moore
  • ESANN 2005 - An artificial neural network for analysing the survival of patients with colorectal cancer [Details]
A.M. Mora
  • ESANN 2018 - Forecasting Business Failure in Highly Imbalanced Distribution based on Delay Line Reservoir [Details]
Félix Mora-Camino
  • ESANN 2013 - Dynamic Placement with Connectivity for RSNs based on a Primal-Dual Neural Network [Details]
  • ESANN 2014 - Online tracking of multiple objects using WiSARD [Details]
  • ESANN 2015 - A WiSARD-based multi-term memory framework for online tracking of objects [Details]
Francesco Carlo Morabito
  • ESANN 2004 - Disruption Anticipation in Tokamak Reactors: A Two-Factors Fuzzy Time Series Approach [Details]
  • ESANN 2005 - A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction [Details]
Saulo Moraes Villela
  • ESANN 2019 - A best-first branch-and-bound search for solving the transductive inference problem using support vector machines [Details]
Romero Morais
  • ESANN 2017 - A multi-criteria meta-learning method to select under-sampling algorithms for imbalanced datasets [Details]
Laura Morán-Fernández
  • ESANN 2020 - Do we need hundreds of classifiers or a good feature selection? [Details]
  • ESANN 2022 - Feature selection for transfer learning using particle swarm optimization and complexity measures [Details]
  • ESANN 2023 - Efficient feature selection for domain adaptation using Mutual Information Maximization [Details]
  • ESANN 2023 - Green Machine Learning [Details]
  • ESANN 2023 - Logarithmic division for green feature selection: an information-theoretic approach [Details]
Laura Morán-Fernández
  • ESANN 2016 - Data complexity measures for analyzing the effect of SMOTE over microarrays [Details]
  • ESANN 2017 - A distributed approach for classification using distance metrics [Details]
Pawel Morawiecki
  • ESANN 2020 - Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models [Details]
  • ESANN 2022 - Diverse Memory for Experience Replay in Continual Learning [Details]
B. Morcego Seix
  • ESANN 1996 - A fast Bayesian algorithm for Boolean functions synthesis by means of perceptron networks [Details]
Fabian Mörchen
  • ESANN 2006 - An algorithm for fast and reliable ESOM learning [Details]
Natalia Mordvaniuk
  • ESANN 2016 - Bag-of-Steps: predicting lower-limb fracture rehabilitation length [Details]
Y. Moreau
  • ESANN 1996 - Prediction of dynamical systems with composition networks [Details]
  • ESANN 1997 - Composition methods for the integration of dynamical neural networks [Details]
  • ESANN 1998 - To stop learning using the evidence [Details]
  • ESANN 1999 - A hybrid system for fraud detection in mobile communications [Details]
Carlos Morell
  • ESANN 2017 - Distance metric learning: a two-phase approach [Details]
Carlos Morell Pérez
  • ESANN 2010 - KNN behavior with set-valued attributes [Details]
Davide Morelli
  • ESANN 2017 - ELM Preference Learning for Physiological Data [Details]
Antonio Moreno
  • ESANN 2016 - Assessment of diabetic retinopathy risk with random forests [Details]
J.M. Moreno
  • ESANN 1993 - Enhanced unit training for piecewise linear seperation incremental algorithms [Details]
  • ESANN 1994 - Improving piecewise linear separation incremental algorithms using complexity reduction methods [Details]
  • ESANN 1995 - A deterministic method for establishing the initial conditions in the RCE algorithm [Details]
  • ESANN 1995 - Derivation of a new criterion function based on an information measure for improving piecewise linear separation incremental algorithms [Details]
Juan Manuel Moreno-Arostegui
  • ESANN 2013 - A heterogeneous database for movement knowledge extraction in Parkinson’s disease [Details]
Vicente Moret-Bonillo
  • 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]
Lia Morra
  • ESANN 2004 - Enhanced unsupervised segmentation of multispectral Magnetic Resonance images [Details]
J. Morris
  • ESANN 2002 - Non-linear Canonical Correlation Analysis using a RBF network [Details]
Helen Morton
  • ESANN 2009 - A brief introduction to Weightless Neural Systems [Details]
  • ESANN 2009 - Phenomenal weightless machines [Details]
  • ESANN 2014 - Learning state prediction using a weightless neural explorer [Details]
  • ESANN 2019 - Systems with 'subjective feelings' - the perspective from weightless automata [Details]
Malte Mosbach
  • ESANN 2021 - Fourier-based Video Prediction through Relational Object Motion [Details]
Alan Mosca
  • ESANN 2017 - Training convolutional networks with weight–wise adaptive learning rates [Details]
G.S. Moschyts
  • ESANN 1998 - On the robust design of uncoupled CNNs [Details]