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
Diana M Sima
  • ESANN 2017 - Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features [Details]
Felipe M. G. França
  • ESANN 2014 - Advances on Weightless Neural Systems [Details]
  • ESANN 2014 - Credit analysis with a clustering RAM-based neural classifier [Details]
  • ESANN 2014 - Extracting rules from DRASiW’s "mental images" [Details]
  • ESANN 2014 - Online tracking of multiple objects using WiSARD [Details]
Priscila M. V. Lima
  • ESANN 2014 - Advances on Weightless Neural Systems [Details]
  • ESANN 2014 - Credit analysis with a clustering RAM-based neural classifier [Details]
  • ESANN 2014 - Online tracking of multiple objects using WiSARD [Details]
Xiaolong Ma
  • ESANN 2004 - Architectures for Nanoelectronic Neural Networks: New Results [Details]
Jan Mačák
  • ESANN 2011 - Multi-Goal Path Planning Using Self-Organizing Map with Navigation Functions [Details]
W. Maass
  • ESANN 1999 - Fast analog computation in networks of spiking neurons using unreliable synapses [Details]
Françoise Macar
  • ESANN 2005 - Neuromimetic model of interval timing [Details]
Valmir Macario
  • ESANN 2014 - An adjustable p-exponential clustering algorithm [Details]
O. Macchi
  • ESANN 1997 - A linear adaptive neural network for extraction of independent components [Details]
Chiara Macchiavello
  • ESANN 2020 - An quantum algorithm for feedforward neural networks tested on existing quantum hardware [Details]
D. MacDonald
  • ESANN 1999 - Comparison of Kohonen, scale-invariant and GTM self-organising maps for interpretation of spectral data [Details]
  • ESANN 1999 - Neural networks which identify composite factors [Details]
  • ESANN 2002 - Clustering in data space and feature space [Details]
  • ESANN 2002 - Exploratory Correlation Analysis [Details]
Javam Machado
  • No papers found
Javam Machado
  • ESANN 2022 - Predicting Test Execution Times with Asymmetric Random Forests [Details]
Priscila Machado Vieira Lima
  • ESANN 2019 - Memory Efficient Weightless Neural Network using Bloom Filter [Details]
  • ESANN 2019 - Modeling Sparse Data as Input for Weightless Neural Network [Details]
  • ESANN 2019 - Prediction of palm oil production with an enhanced n-Tuple Regression Network [Details]
Walther Maciel
  • ESANN 2015 - Revisiting ant colony algorithms to seismic faults detection [Details]
B. Macq
  • ESANN 1993 - Laplacian pyramid with multilayer perceptrons interpolators [Details]
Olteanu Madalina
  • ESANN 2004 - Non-linear Analysis of Shocks when Financial Markets are Subject to Changes in Regime [Details]
Abdellah Madane
  • ESANN 2024 - From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics [Details]
Kurosh Madani
  • ESANN 2013 - Frequency-Dependent Peak-Over-Threshold algorithm for fault detection in the spectral domain [Details]
Sara C. Madeira
  • ESANN 2024 - Deep Temporal Consensus Clustering for Patient Stratification in Amyotrophic Lateral Sclerosis [Details]
Manik Madhikermi
  • ESANN 2021 - Context-specific sampling method for contextual explanations [Details]
J. Madrenas
  • 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]
  • ESANN 2001 - A microelectronic implementation of a bioinspired analog matrix for object segmentation of a visual scene [Details]
Jordi Madrenas
  • ESANN 2004 - BIOSEG: a bioinspired vlsi analog system for image segmentation [Details]
Thomas Madsen
  • ESANN 2023 - Pattern Recognition Spiking Neural Network for Classification of Chinese Characters [Details]
Frederik Maes
  • ESANN 2022 - A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification [Details]
Frederik Maes
  • ESANN 2016 - Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation [Details]
  • ESANN 2017 - Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features [Details]
Francis Maes
  • ESANN 2011 - Iterative multi-task sequence labeling for predicting structural properties of proteins [Details]
  • ESANN 2012 - Supervised learning to tune simulated annealing for in silico protein structure prediction [Details]
Frederik Maes
  • No papers found
Sven Magg
  • ESANN 2018 - A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition [Details]
Marco Maggini
  • ESANN 2004 - Recursive networks for processing graphs with labelled edges [Details]
  • ESANN 2006 - A Cyclostationary Neural Network model for the prediction of the NO2 concentration [Details]