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
Rachel Mislovaty
  • No papers found
Ranjeev Misra
  • ESANN 2015 - Autoencoding time series for visualisation [Details]
Arkajyoti Mitra
  • ESANN 2026 - A Collaborative Distillation Framework for Graph Neural Networks [Details]
Toshiyuki Miyatani
  • ESANN 2006 - Non-linear gating network for the large scale classification model CombNET-II [Details]
Eduardo Mizraji
  • ESANN 2024 - Exploring Self-Organizing Maps for Addressing Semantic Impairments [Details]
S. Mizutani
  • ESANN 1999 - Heterogeneity enhanced order in a chaotic neural network [Details]
Andriy Mnih
  • ESANN 2008 - Improving a statistical language model by modulating the effects of context words [Details]
Chiara Mocenni
  • ESANN 2006 - A Cyclostationary Neural Network model for the prediction of the NO2 concentration [Details]
Victor Mocioiu
  • ESANN 2016 - A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases [Details]
Luis Alfredo Moctezuma Pascual
  • ESANN 2024 - Exploring High- and Low-Density Electroencephalography for a Dream Decoding Brain-Computer Interface [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 Moeller
  • ESANN 2010 - Adaptive learning rate control for "neural gas principal component analysis" [Details]
  • ESANN 2010 - Distance functions for local PCA methods [Details]
Hans Moen
  • ESANN 2020 - Entity-Pair Embeddings for Improving Relation Extraction in the Biomedical Domain [Details]
Paul Moggridge
  • ESANN 2023 - On Instance Weighted Clustering Ensembles [Details]
Ali Mohammad-Djafari
  • ESANN 2006 - Bayesian source separation: beyond PCA and ICA [Details]
  • ESANN 2006 - Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images [Details]
  • ESANN 2011 - Nearest neighbors and correlation dimension for dimensionality estimation. Application to factor analysis of real biological time series data. [Details]
Mohammad Mohammadi
  • ESANN 2018 - Globular Cluster Detection in the Gaia Survey [Details]
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 2021 - The LVQ-based Counter Propagation Network -- an Interpretable Information Bottleneck Approach [Details]
Mehrdad Mohannazadeh Bakhtiari
  • ESANN 2023 - Learning Vector Quantization in Context of Information Bottleneck Theory [Details]
K. Mohraz
  • ESANN 1996 - FlexNet - A flexible neural network construction algorithm [Details]
Shahab Mokarizadeh
  • ESANN 2026 - Boundary-Constrained Diffusion Models for Floorplan Generation: Balancing Realism and Diversity [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]
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]
Mohammed El Amine Mokhtari
  • No papers found
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]