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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. Muñoz
  • ESANN 2003 - Visualizing asymmetric proximities with MDS models [Details]
José Muñoz
  • ESANN 2010 - An ART-type network approach for video object detection [Details]
  • ESANN 2010 - Web Document Clustering based on a Hierarchical Self-Organizing Model [Details]
Alberto Muñoz
  • ESANN 2004 - Representing hierarchical relationships using a modified Asymmetric SOM Algorithm [Details]
J. Munoz Perez
  • ESANN 2001 - Genetic algorithms with crossover based on confidence interval as an alternative to traditional nonlinear regression methods [Details]
  • ESANN 2003 - Neural Network Algorithms for the p-Median Problem [Details]
Gorka Muñoz-Gil
  • ESANN 2020 - Understanding and improving unsupervised training of Boltzman machines [Details]
Luis Muñoz-González
  • ESANN 2019 - Defending against poisoning attacks in online learning settings [Details]
Jose Muñoz-Perez
  • ESANN 2007 - Spicules-based competitive neural network [Details]
  • ESANN 2008 - Multilayer perceptron to model the decarburization process in stainless steel production [Details]
F. Mura
  • ESANN 1996 - Biologically inspired eye movements for visually guided navigation of mobile robots [Details]
Raffaele Mura
  • ESANN 2023 - Improving Fast Minimum-Norm Attacks with Hyperparameter Optimization [Details]
Andrea Murari
  • ESANN 2008 - An automatic identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees [Details]
R. C. Muresan
  • ESANN 2003 - RetinotopicNET: An Efficient Simulator for Retinotopic Visual Architectures [Details]
A.T. Murgan
  • ESANN 1996 - Fast signal recognition and detection using ART1 neural networks and nonlinear preprocessing units based on time delay embeddings [Details]
Santiago Murillo Rendón
  • ESANN 2013 - support vector machine-based aproach for multi-labelers problems [Details]
Santiago Murillo-Rendón
  • ESANN 2014 - A multi-class extension for multi-labeler support vector machines [Details]
V. Murphy
  • ESANN 2002 - Why will rat's go where rats will not? [Details]
Alan Murray
  • ESANN 2004 - Neural Hardware: beyond ones and zeros [Details]
A. F. Murray
  • ESANN 1999 - The application of neural networks to the paper-making industry [Details]
A.F. Murray
  • ESANN 2000 - Committee formation for reliable and accurate neural prediction in industry [Details]
  • ESANN 2000 - Confidence estimation methods for neural networks : a practical comparison [Details]
  • ESANN 2001 - Matching analogue hardware with applications using the Products of Experts algorithm [Details]
Alan Murray
  • ESANN 2004 - a biologically plausible neuromorphic system for object recognition and depth analysis [Details]
  • ESANN 2006 - Adaptive Sensor Modelling and Classification using a Continuous Restricted Boltzmann Machine (CRBM) [Details]
  • ESANN 2006 - Evolving multi-segment 'super-lamprey' CPG's for increased swimming control [Details]
A. Murray
  • ESANN 1998 - Weight saliency regularization in augmented networks [Details]
John Murray-Bruce
  • ESANN 2017 - Solving Inverse Source Problems for Sources with Arbitrary Shapes using Sensor Networks [Details]
M. Musavi
  • ESANN 2002 - Double self-organizing maps to cluster gene expression data [Details]
  • ESANN 2002 - Improving robustness of fuzzy gene modeling [Details]
Khadija Musayeva
  • ESANN 2018 - A sharper bound on the Rademacher complexity of margin multi-category classifiers [Details]
Maximilian Muschalik
  • ESANN 2023 - On Feature Removal for Explainability in Dynamic Environments [Details]
  • ESANN 2025 - Explaining Outliers using Isolation Forest and Shapley Interactions [Details]
Oleg Musin
  • ESANN 2025 - Topology-Aware Activation Functions in Neural Networks [Details]
Nysret Musliu
  • ESANN 2019 - Feature and Algorithm Selection for Capacitated Vehicle Routing Problems [Details]
Antoni Musolas
  • ESANN 2017 - Piecewise-Bézier C1 smoothing on manifolds with application to wind field estimation [Details]
Lebbah Mustapha
  • ESANN 2019 - Deep Embedded SOM: joint representation learning and self-organization [Details]
Sorina Mustatea
  • No papers found
Sorina Mustatea
  • ESANN 2022 - Supervised dimensionality reduction technique accounting for soft classes [Details]

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