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
Sofia Mosci
  • ESANN 2008 - A method for robust variable selection with significance assessment [Details]
K. Moscinska
  • ESANN 1995 - Dynamic Neural Clustering [Details]
Bernhard Moser
  • ESANN 2023 - Secure Federated Learning with Kernel Affine Hull Machines [Details]
Axel Mosig
  • ESANN 2021 - SmoothLRP: Smoothing LRP by Averaging over Stochastic Input Variations [Details]
Eduardo Mosqueira-Rey
  • ESANN 2023 - Evaluating Curriculum Learning Strategies for Pancreatic Cancer Prediction [Details]
Antonio Mosquera González
  • ESANN 2016 - On the analysis of feature selection techniques in a conjunctival hyperemia grading framework [Details]
Gary Moss
  • ESANN 2010 - The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes [Details]
Seyed Iman Mossavat
  • ESANN 2020 - A preconditioned accelerated stochastic gradient descent algorithm [Details]
Matteo Mota
  • ESANN 2016 - Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery [Details]
Andrea Motta
  • ESANN 2022 - Classification of preclinical markers in Alzheimer's disease via WiSARD classifier [Details]
Claudia Motta
  • ESANN 2017 - Automatic crime report classi cation through a weightless neural network [Details]
Andrea Motta
  • No papers found
Mathilde Mougeot
  • ESANN 2016 - anomaly detection on spectrograms using data-driven and fixed dictionary representations [Details]
M. Mougeot
  • ESANN 1997 - Synchronization and oscillations in the visual cortex: a stochastic model using a spike memory term [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 2020 - Sparse K-means for mixed data via group-sparse clustering [Details]
Alex Mourer
  • ESANN 2021 - Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability? [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]
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]