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
A. Mansour
  • ESANN 2001 - A stochastic and competitive network for the separation of sources [Details]
Ali Mansour
  • ESANN 2006 - A simple idea to separate convolutive mixtures in an undetermined scenario [Details]
Carlos J. Mantas
  • ESANN 2014 - Credal decision trees in noisy domains [Details]
Dominguez Manuel
  • ESANN 2018 - Interactive dimensionality reduction of large datasets using interpolation [Details]
Nikolay Manyakov
  • ESANN 2007 - Causality analysis of LFPs in micro-electrode arrays based on mutual information [Details]
Z. Mao
  • ESANN 1994 - Stability bounds of momentum coefficient and learning rate in backpropagation algorithm [Details]
Petros Maragos
  • ESANN 2023 - Multimodal Recognition of Valence, Arousal and Dominance via Late-Fusion of Text, Audio and Facial Expressions [Details]
Marco Maratea
  • ESANN 2021 - In-Station Train Movements Prediction: from Shallow to Deep Multi Scale Models [Details]
Strickert Marc
  • ESANN 2007 - Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS [Details]
Francesco Marcelloni
  • ESANN 2004 - Neural network-based calibration of positron emission tomograph detector modules [Details]
Giulia Marchello
  • ESANN 2023 - Deep dynamic co-clustering of streams of count data: a new online Zip-dLBM [Details]
E. Marchiori
  • ESANN 1996 - Constraining of weights using regularities [Details]
  • ESANN 2003 - Finding clusters using support vector classifiers [Details]
M. Marchiori
  • ESANN 1996 - Constraining of weights using regularities [Details]
Elena Marchiori
  • ESANN 2013 - Network community detection with edge classifiers trained on LFR graphs [Details]
Signoretto Marco
  • ESANN 2012 - Joint Regression and Linear Combination of Time Series for Optimal Prediction [Details]
Podda Marco
  • ESANN 2019 - Graph generation by sequential edge prediction [Details]
Alejandro Marcos Alvarez
  • ESANN 2012 - Supervised learning to tune simulated annealing for in silico protein structure prediction [Details]
Teodor Marcu
  • ESANN 2004 - Dynamic functional-link neural networks genetically evolved applied to system identification [Details]
Udi Margolin
  • ESANN 2017 - Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure [Details]
Viviana Cocco Mariani
  • ESANN 2022 - Wind power forecasting based on bagging extreme learning machine ensemble model [Details]
Viviana Cocco Mariani
  • No papers found
Viviana C. Mariani
  • ESANN 2014 - Improved Cat Swarm Optimization approach applied to reliability-redundancy problem [Details]
  • ESANN 2015 - The use of RBF neural network to predict building’s corners hygrothermal behavior [Details]
Viviana Cocco Mariani
  • No papers found
Jérôme Mariette
  • ESANN 2017 - Accelerating stochastic kernel SOM [Details]
M. Marinaro
  • ESANN 1998 - An incremental local radial basis function network [Details]
Daniele Marinazzo
  • ESANN 2007 - Causality and communities in neural networks [Details]
Alexandru-Ion Marinescu
  • ESANN 2018 - Dynamic autonomous image segmentation based on Grow Cut [Details]
Rebecca Marion
  • ESANN 2018 - Finding the most interpretable MDS rotation for sparse linear models based on external features [Details]
Rebecca Marion
  • ESANN 2020 - Comparison of Cluster Validity Indices and Decision Rules for Different Degrees of Cluster Separation [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]