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
Alessandro Leparulo
  • ESANN 2023 - Real-time Detection of Evoked Potentials by Deep Learning: a Case Study [Details]
Philippe Leray
  • ESANN 2010 - Towards sub-quadratic learning of probability density models in the form of mixtures of trees [Details]
  • ESANN 2015 - On the equivalence between regularized NMF and similarity-augmented graph partitioning [Details]
Boaz Lerner
  • ESANN 2017 - Learning human behaviors and lifestyle by capturing temporal relations in mobility patterns [Details]
  • ESANN 2018 - Temporal modeling of ALS using longitudinal data and long-short term memory-based algorithm [Details]
E. Lerouge
  • ESANN 1999 - A hybrid system for fraud detection in mobile communications [Details]
Sylvain Lesage
  • ESANN 2006 - A survey of Sparse Component Analysis for blind source separation: principles, perspectives, and new challenges [Details]
Markus Leskinen
  • ESANN 2017 - Prediction of preterm infant mortality with Gaussian process classification [Details]
Timothée Lesort
  • No papers found
Timothée Lesort
  • ESANN 2022 - Tutorial - Continual Learning beyond classification [Details]
  • ESANN 2024 - Continual Learning of Deep Neural Networks in The Age of Big Data [Details]
Sylvain Lespinats
  • No papers found
Sylvain Lespinats
  • ESANN 2010 - Mapping without visualizing local default is nonsense [Details]
Sylvain Lespinats
  • ESANN 2022 - Supervised dimensionality reduction technique accounting for soft classes [Details]
P. Letremy
  • ESANN 2002 - Advantages and drawbacks of the Batch Kohonen algorithm [Details]
  • ESANN 2003 - Analyzing surveys using the Kohonen algorithm [Details]
Michael Leuenberger
  • ESANN 2014 - Feature selection in environmental data mining combining Simulated Annealing and Extreme Learning Machine [Details]
  • ESANN 2015 - Morisita-based feature selection for regression problems [Details]
C.T. Leung
  • ESANN 1995 - Neural network piecewise linear preprocessing for time-series prediction [Details]
Maciej Lewenstein
  • ESANN 2020 - Understanding and improving unsupervised training of Boltzman machines [Details]
milad leyli abadi
  • ESANN 2021 - Deep Neural Networks for Classification of Riding Patterns: with a focus on explainability [Details]
  • ESANN 2024 - Evaluation methodology for disentangled uncertainty quantification on regression models [Details]
Yuhua Li
  • ESANN 2024 - Decision fusion based multimodal hierarchical method for speech emotion recognition from audio and text [Details]
Bo Li
  • ESANN 2019 - Modal sense classification with task-specific context embeddings [Details]
Shanglin Li
  • ESANN 2024 - Geometric Deep Learning to Enhance Imbalanced Domain Adaptation in EEG [Details]
Song Li
  • ESANN 2014 - Electric load forecasting using wavelet transform and extreme learning machine [Details]
Yuhua Li
  • ESANN 2014 - A new biologically plausible supervised learning method for spiking neurons [Details]
Xue Li
  • ESANN 2025 - Continual Contrastive Learning on Tabular Data with Out of Distribution [Details]
Weizhi Li
  • ESANN 2017 - Learning convolutional neural network to maximize Pos@Top performance measure [Details]
Yichun Li
  • ESANN 2023 - Action-Based ADHD Diagnosis in Video [Details]
B. Li
  • ESANN 1995 - Spatial summation in simple cells: computational and experimental results [Details]
Peng Li
  • ESANN 2009 - A Variational Approach to Semi-Supervised Clustering [Details]
Nanying Liang
  • ESANN 2009 - Decoding finger flexion using amplitude modulation from band-specific ECoG [Details]
Yingyu Liang
  • ESANN 2016 - Learning in indefinite proximity spaces - recent trends [Details]
Dingge Liang
  • No papers found
Dingge Liang
  • ESANN 2022 - Deep latent position model for node clustering in graphs [Details]