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
Andrea Motta
  • No papers found
Claudia Motta
  • ESANN 2017 - Automatic crime report classi cation through a weightless neural network [Details]
M. Mougeot
  • ESANN 1997 - Synchronization and oscillations in the visual cortex: a stochastic model using a spike memory term [Details]
Mathilde Mougeot
  • ESANN 2016 - anomaly detection on spectrograms using data-driven and fixed dictionary representations [Details]
Anthony Mouraud
  • ESANN 2006 - Learning and discrimination through STDP in a top-down modulated associative memory [Details]
  • ESANN 2012 - From neuronal cost-based metrics towards sparse coded signals classification [Details]
André Mouraux
  • ESANN 2019 - Tensor factorization to extract patterns in multimodal EEG data [Details]
Alex Mourer
  • ESANN 2021 - Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability? [Details]
Alex Mourer
  • ESANN 2020 - Sparse K-means for mixed data via group-sparse clustering [Details]
Fabien Moutarde
  • ESANN 2004 - Fast semi-automatic segmentation algorithm for Self-Organizing Maps [Details]
O. Moynot
  • ESANN 1999 - Mean-field equations reveal synchronization in a 2-populations neural network model [Details]
Alberto Mozo
  • ESANN 2016 - PSCEG: an unbiased parallel subspace clustering algorithm using exact grids [Details]
  • ESANN 2016 - Parallelized unsupervised feature selection for large-scale network traffic analysis [Details]
  • ESANN 2017 - Deep convolutional neural networks for detecting noisy neighbours in cloud infrastructure [Details]
N. Mtetwa
  • ESANN 2002 - Stochastic resonance and finite resolution in a leaky integrate-and-fire neuron [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]
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]
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 2025 - Multiclass Adaptive Subspace Learning [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]
Maximilian Münch
  • ESANN 2019 - Towards a device-free passive presence detection system with Bluetooth Low Energy beacons [Details]
Martin Mundt
  • ESANN 2016 - Feature binding in deep convolution networks with recurrences, oscillations, and top-down modulated dynamics [Details]