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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
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
  • ESANN 2022 - Supervised dimensionality reduction technique accounting for soft classes [Details]
Sorina Mustatea
  • No papers found
Kouichi Mutsuura
  • ESANN 2015 - The prediction of learning performance using features of note taking activities [Details]
Ernest Mwebaze
  • ESANN 2010 - Divergence based Learning Vector Quantization [Details]
  • ESANN 2011 - Causal relevance learning for robust classification under interventions [Details]
  • ESANN 2015 - Combining dissimilarity measures for prototype-based classification [Details]

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