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
Jean-Marie MARION
  • ESANN 2025 - O-Net: a Brain Tumor segmentation architecture based on U-Net using alternated Pooling [Details]
Rebecca Marion
  • ESANN 2020 - Comparison of Cluster Validity Indices and Decision Rules for Different Degrees of Cluster Separation [Details]
Rebecca Marion
  • ESANN 2018 - Finding the most interpretable MDS rotation for sparse linear models based on external features [Details]
Heiner Markert
  • ESANN 2013 - Learning control under uncertainty: A probabilistic Value-Iteration approach [Details]
  • ESANN 2015 - Fast greedy insertion and deletion in sparse Gaussian process regression [Details]
Tomasz Markiewicz
  • ESANN 2006 - Data mining techniques for feature selection in blood cell recognition [Details]
  • ESANN 2009 - Application of SVM for cell recognition in BCC skin pathology [Details]
Thorben Markmann
  • ESANN 2025 - Solving Turbulent Rayleigh-Bénard Convection using Fourier Neural Operators [Details]
U. Markowska-Kaczmar
  • ESANN 2003 - Extraction of fuzzy rules from trained neural network using evolutionary algorithm [Details]
Hagenbuchner Markus
  • ESANN 2009 - Projection of undirected and non-positional graphs using Self Organizing Maps [Details]
Giovanni Marola
  • ESANN 2004 - Neural network-based calibration of positron emission tomograph detector modules [Details]
Antoine MAROT
  • ESANN 2018 - Fast Power system security analysis with Guided Dropout [Details]
  • ESANN 2019 - LEAP nets for power grid perturbations [Details]
Joaquim Marques de Sá
  • ESANN 2005 - Neural network classification using Shannon's entropy [Details]
  • ESANN 2005 - Perceptron Learning with Discrete Weights [Details]
Luisa Marquez
  • ESANN 2005 - Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network [Details]
Youri MARQUISE
  • ESANN 2025 - Explainable deep learning reveals a behavioral strategy underlying human decisions in a spatial navigation task [Details]
Goreti Marreiros
  • ESANN 2023 - Automated green machine learning for condition-based maintenance [Details]
Christophe Marsala
  • ESANN 2016 - Memory management for data streams subject to concept drift [Details]
David marshall
  • ESANN 2024 - Decision fusion based multimodal hierarchical method for speech emotion recognition from audio and text [Details]
Robin Marshall
  • ESANN 2005 - An artificial neural network for analysing the survival of patients with colorectal cancer [Details]
Amber Martell
  • ESANN 2009 - Oscillation in a network model of neocortex [Details]
Janne Martikainen
  • ESANN 2024 - Influence of Data Characteristics on Machine Learning Classification Performance and Stability of SHapley Additive exPlanations [Details]
José D. Martín
  • ESANN 2010 - Computational Intelligence in biomedicine: Some contributions [Details]
  • ESANN 2010 - Neural models for the analysis of kidney disease patients [Details]
  • ESANN 2018 - Bioinformatics and medicine in the era of deep learning [Details]
  • ESANN 2019 - Societal Issues in Machine Learning: When Learning from Data is Not Enough [Details]
E.B. Martin
  • ESANN 2002 - Non-linear Canonical Correlation Analysis using a RBF network [Details]
Hugo Martin
  • ESANN 2012 - Fast calibration of hand movements-based interface for arm exoskeleton control [Details]
N. Martin
  • ESANN 1996 - Biologically inspired eye movements for visually guided navigation of mobile robots [Details]
José D Martín
  • ESANN 2011 - Analysis of a Reinforcement Learning algorithm using Self-Organizing Maps [Details]
  • ESANN 2011 - Growing Hierarchical Sectors on Sectors [Details]
  • ESANN 2011 - Seeing is believing: The importance of visualization in real-world machine learning applications [Details]
  • ESANN 2011 - The role of Fisher information in primary data space for neighbourhood mapping [Details]
R. Martín-Clemente
  • ESANN 2003 - Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation [Details]
José D. Martín-Guerrero
  • ESANN 2020 - Cost-free resolution enhancement in Convolutional Neural Networks for medical image segmentation [Details]
  • ESANN 2020 - Quantum Machine Learning [Details]
  • ESANN 2023 - Quantum Artificial Intelligence: A tutorial [Details]
José David Martín-Guerrero
  • ESANN 2014 - Ensembles of extreme learning machine networks for value prediction [Details]
José D. Martín-Guerrero
  • ESANN 2012 - Constructing similarity networks using the Fisher information metric [Details]
  • ESANN 2012 - Making machine learning models interpretable [Details]
  • ESANN 2012 - extended visualization method for classification trees [Details]
  • ESANN 2013 - Feature Selection for Footwear Shape Estimation [Details]
  • ESANN 2013 - Least-squares temporal difference learning based on extreme learning machine [Details]
  • ESANN 2013 - ManiSonS: A New Visualization Tool for Manifold Clustering [Details]
  • ESANN 2016 - Performance assessment of quantum clustering in non-spherical data distributions [Details]
  • ESANN 2016 - Physics and Machine Learning: Emerging Paradigms [Details]
  • ESANN 2017 - Randomized Machine Learning Approaches: Recent Developments and Challenges [Details]
Manuel Martin-Merino
  • ESANN 2004 - Representing hierarchical relationships using a modified Asymmetric SOM Algorithm [Details]
M. Martin-Merino
  • ESANN 2003 - Visualizing asymmetric proximities with MDS models [Details]