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
Christian Mueller
  • ESANN 2026 - Alignment of Islamic Legal Texts [Details]
Klaus-Robert Mueller
  • ESANN 2004 - Regularizing generalization error estimators: a novel approach to robust model selection [Details]
Francisco Mugica
  • ESANN 2006 - Learning what is important: feature selection and rule extraction in a virtual course [Details]
Ayan Mukherjee
  • ESANN 2019 - Fusing Features based on Signal Properties and TimeNet for Time Series Classification [Details]
Supratik Mukhopadhyay
  • ESANN 2015 - Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets [Details]
J.J. Mulawka
  • ESANN 1995 - A new training algorithm for feedforward neural networks [Details]
E. Mulder
  • ESANN 1998 - Construction of an interactive and competitive artificial neural network for the solution of path planning problems [Details]
Dounia Mulders
  • ESANN 2023 - Don't skip the skips: autoencoder skip connections improve latent representation discrepancy for anomaly detection [Details]
  • ESANN 2024 - Forget early exaggeration in t-SNE: early hierarchization preserves global structure [Details]
  • ESANN 2025 - Can MDS rival with t-SNE by using the symmetric Kullback-Leibler divergence\\ across neighborhoods as a pseudo-distance? [Details]
  • ESANN 2026 - Fairness in machine learning: A Compact Survey [Details]
  • ESANN 2026 - Multi-Scale Stochastic Neighbor Embedding with Twice Adaptive Bandwidths [Details]
Dounia Mulders
  • ESANN 2018 - Extensive assessment of Barnes-Hut t-SNE [Details]
  • ESANN 2018 - Perplexity-free t-SNE and twice Student tt-SNE [Details]
  • ESANN 2019 - Class-aware t-SNE: cat-SNE [Details]
  • ESANN 2019 - Tensor factorization to extract patterns in multimodal EEG data [Details]
G.R. Mulhauser
  • ESANN 1993 - Population coding in a theoretical biologically plausible network [Details]
  • ESANN 1994 - Biologically plausible hybrid network design and motor control [Details]
Vladimir Muliukha
  • ESANN 2020 - Anomaly Detection Approach in Cyber Security for User and Entity Behavior Analytics System [Details]
K.-R. Müller
  • ESANN 1999 - Hidden Markov gating for prediction of change points in switching dynamical systems [Details]
Sebastian Müller
  • ESANN 2026 - Four Quadrants of Difficulty: A Categorisation for Curriculum Learning in NLP [Details]
Andreas Müller
  • ESANN 2010 - Exploiting local structure in stacked Boltzmann machines [Details]
Mikko Multanen
  • ESANN 2006 - Hierarchical analysis of GSM network performance data [Details]
Bharadwaj Chowdary Mummaneni
  • ESANN 2025 - Quantum Annealing based Feature Selection [Details]
Maximilian Münch
  • ESANN 2019 - Towards a device-free passive presence detection system with Bluetooth Low Energy beacons [Details]
Maximilian Münch
  • ESANN 2025 - Multiclass Adaptive Subspace Learning [Details]
  • ESANN 2026 - Polarizing Kernels: A Definite Approach to Clustering with Indefinite Similarities [Details]
Maximilian Münch
  • ESANN 2021 - Multi-perspective embedding for non-metric time series classification [Details]
  • ESANN 2022 - Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification [Details]
  • ESANN 2023 - Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection [Details]
Martin Mundt
  • ESANN 2016 - Feature binding in deep convolution networks with recurrences, oscillations, and top-down modulated dynamics [Details]
Alberto Muñoz
  • ESANN 2004 - Representing hierarchical relationships using a modified Asymmetric SOM Algorithm [Details]
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]
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]