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
Adel Mohammadpour
  • ESANN 2006 - Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images [Details]
Samer Mohammed
  • ESANN 2012 - Supervised and unsupervised classification approaches for human activity recognition using body-mounted sensors [Details]
  • ESANN 2018 - CDTW-based classification for Parkinson's Disease diagnosis [Details]
M. Mohandes
  • ESANN 2002 - Use of artificial neural networks process analyzers: a case study [Details]
Mehrdad Mohannazadeh Bakhtiari
  • ESANN 2023 - Learning Vector Quantization in Context of Information Bottleneck Theory [Details]
Mehrdad Mohannazadeh Bakhtiari
  • ESANN 2021 - The LVQ-based Counter Propagation Network -- an Interpretable Information Bottleneck Approach [Details]
K. Mohraz
  • ESANN 1996 - FlexNet - A flexible neural network construction algorithm [Details]
Bassam Mokbel
  • ESANN 2010 - Relational Generative Topographic Map [Details]
  • ESANN 2012 - Out-of-sample kernel extensions for nonparametric dimensionality reduction [Details]
  • ESANN 2012 - Visualizing the quality of dimensionality reduction [Details]
  • ESANN 2014 - Adaptive distance measures for sequential data [Details]
  • ESANN 2015 - Adaptive structure metrics for automated feedback provision in Java programming [Details]
Mohammed El Amine Mokhtari
  • No papers found
M. Mokhtari
  • ESANN 1993 - Supervised learning and associative memory by the random neural network [Details]
  • ESANN 1996 - An adaptive technique for pattern recognition by the random neural network [Details]
Mohammed El Amine Mokhtari
  • ESANN 2022 - Semi-synthetic Data for Automatic Drone Shadow Detection [Details]
Marta Molinas
  • ESANN 2024 - EEG Source Imaging Enhances Motor Imagery Classification [Details]
  • ESANN 2024 - Exploring High- and Low-Density Electroencephalography for a Dream Decoding Brain-Computer Interface [Details]
  • ESANN 2024 - Machine Learning Methods for BCI: challenges, pitfalls and promises [Details]
  • ESANN 2024 - Unveiling Dreams: Moving Towards Automatic Dream Decoding via PSD-Based EEG Analysis and Machine Learning [Details]
  • ESANN 2025 - Sleep Staging with Gradient Boosting and DWT-PSD Features from EEG/EOG Signals [Details]
Ralf Möller
  • ESANN 2008 - Combining neural networks and optimization techniques for visuokinesthetic prediction and motor planning [Details]
Christoph Möller
  • ESANN 2009 - Forward feature selection using Residual Mutual Information [Details]
W. Mommaerts
  • ESANN 1994 - Analysis of critical effects in a stochastic neural model [Details]
Eric Monacelli
  • ESANN 2012 - Fast calibration of hand movements-based interface for arm exoskeleton control [Details]
Jugurta Montalvão
  • ESANN 2013 - Error entropy criterion in echo state network training [Details]
  • ESANN 2016 - An Immune-Inspired, Dependence-Based Approach to Blind Inversion of Wiener Systems [Details]
David Montero
  • ESANN 2025 - CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks [Details]
Federico Montesino Pouzols
  • ESANN 2011 - Adaptive Kernel Smoothing Regression for Spatio-Temporal Environmental Datasets [Details]
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 2016 - Data complexity measures for analyzing the effect of SMOTE over microarrays [Details]
  • ESANN 2017 - A distributed approach for classification using distance metrics [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]