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
Fabio La Foresta
  • ESANN 2005 - A new approach based on wavelet-ICA algorithms for fetal electrocardiogram extraction [Details]
H. La Poutré
  • ESANN 2000 - SpikeProp: backpropagation for networks of spiking neurons [Details]
  • ESANN 2002 - Modeling efficient conjunction detection with spiking neural networks [Details]
Michele La Rocca
  • ESANN 2008 - A multiple testing procedure for input variable selection in neural networks [Details]
Amr Labib
  • ESANN 2009 - Echo State networks and Neural network Ensembles to predict Sunspots activity [Details]
Lazhar Labiod
  • ESANN 2011 - A Spectral Based Clustering Algorithm for Categorical Data with Maximum Modularity [Details]
Christoph Labisch
  • ESANN 2023 - Segmentation and Analysis of Lumbar Spine MRI Scans for Vertebral Body Measurements [Details]
Björn Labitzke
  • ESANN 2011 - Multispectral image characterization by partial generalized covariance [Details]
Kai Labusch
  • ESANN 2008 - Learning Data Representations with Sparse Coding Neural Gas [Details]
  • ESANN 2010 - Learning sparse codes for image reconstruction [Details]
Jérôme Lacaille
  • ESANN 2010 - Self Organizing Star (SOS) for health monitoring [Details]
  • ESANN 2012 - Robust clustering of high-dimensional data [Details]
  • ESANN 2015 - Search Strategies for Binary Feature Selection for a Naive Bayes Classifier [Details]
  • ESANN 2016 - Comparison of three algorithms for parametric change-point detection [Details]
  • ESANN 2016 - anomaly detection on spectrograms using data-driven and fixed dictionary representations [Details]
  • ESANN 2019 - Deep Embedded SOM: joint representation learning and self-organization [Details]
Jérôme Lacaille
  • ESANN 2020 - Sparse K-means for mixed data via group-sparse clustering [Details]
  • ESANN 2021 - Deep Learning Model for Context-Dependent Survival Analysis [Details]
  • ESANN 2021 - Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability? [Details]
  • ESANN 2022 - Anomaly detections on the oil system of a turbofan engine by a neural autoencoder [Details]
  • ESANN 2024 - Aeronautic data analysis [Details]
  • ESANN 2024 - From Data to Simulation: Capturing Aircraft Engine Degradation Dynamics [Details]
Antoine Lachaud
  • ESANN 2014 - A robust regularization path for the Doubly Regularized Support Vector Machine [Details]
Jan Lachmair
  • ESANN 2012 - Hardware accelerated real time classification of hyperspectral imaging data for coffee sorting [Details]
  • ESANN 2012 - gNBXe -- a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps [Details]
Gustavo Alberto Lado
  • No papers found
Tun Ladoni
  • ESANN 2005 - Generalised Cross Validation for Noise-Free Data [Details]
Alban Laflaquiere
  • ESANN 2016 - Grounding the experience of a visual field through sensorimotor contingencies [Details]
Vincenzo Lagani
  • ESANN 2011 - A constraint-based approach to incorporate prior knowledge in causal models [Details]
Luis Lago
  • ESANN 2024 - Recurrent Neural Network based Counter Automata [Details]
S. Lagrange
  • ESANN 2003 - Acceptability conditions for BSS problems [Details]
Pierre-Antoine Laharotte
  • ESANN 2017 - Detection of non-recurrent road traffic events based on clustering indicators [Details]
Ghouti Lahouari
  • ESANN 2010 - Hybrid Soft Computing for PVT Properties Prediction [Details]
Kaisa Lahtinen
  • ESANN 2016 - Enhancing a social science model-building workflow with interactive visualisation [Details]
Pei Ling Lai
  • ESANN 2007 - Immediate Reward Reinforcement Learning for Projective Kernel Methods [Details]
P.L. Lai
  • ESANN 2002 - Probabilistic derivation and Multiple Canonical Correlation Analysis [Details]
Mohamed Laib
  • ESANN 2018 - A novel filter algorithm for unsupervised feature selection based on a space filling measure [Details]
Mohamed Laib
  • ESANN 2020 - Model Variance for Extreme Learning Machine [Details]
Stefan Laible
  • ESANN 2015 - Robust Visual Terrain Classification with Recurrent Neural Networks [Details]
Gautier Laisné
  • ESANN 2023 - Derivative-Free Optimization Approaches for Force Polytopes Prediction [Details]
Egor Lakomkin
  • ESANN 2018 - Image-to-Text Transduction with Spatial Self-Attention [Details]
Y. Lallement
  • ESANN 1995 - Neurosymbolic integration: unified versus hybrid approaches [Details]
Eric Laloy
  • ESANN 2019 - Pixel-wise Conditioning of Generative Adversarial Networks [Details]