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
C.C. Cheung
  • ESANN 1997 - Nonlinearity and separation capability: further justification for the ICA algorithm with a learned mixture of parametric densities [Details]
Sylvain Chevallier
  • ESANN 2006 - Saliency extraction with a distributed spiking neural network [Details]
  • ESANN 2008 - Visual focus with spiking neurons [Details]
  • ESANN 2011 - An Introduction to Deep Learning [Details]
  • ESANN 2012 - Automatic selection of the number of spatial filters for motor-imagery BCI [Details]
  • ESANN 2012 - Fast calibration of hand movements-based interface for arm exoskeleton control [Details]
Sylvain Chevallier
  • ESANN 2024 - Deep Riemannian Neural Architectures for Domain Adaptation in Burst cVEP-based Brain Computer Interface [Details]
  • ESANN 2025 - Growth strategies for arbitrary DAG neural architectures [Details]
  • ESANN 2026 - Non-Linear Activation Functions for Deep Riemannian Neural Networks [Details]
Emmanuel Chevigny
  • ESANN 2015 - NLDR methods for high dimensional NIRS dataset : application to vineyard soils characterization [Details]
Baichuan Chi
  • ESANN 2021 - A Multi-ELM Model for Incomplete Data [Details]
Marcello Chiaberge
  • No papers found
M. Chiaberge
  • ESANN 1994 - A comparison of neural networks, linear controllers, genetic algorithms and simulated annealing for real time control [Details]
Silvia Chiappa
  • ESANN 2004 - HMM and IOHMM modeling of EEG rhythms for asynchronous BCI systems [Details]
  • ESANN 2005 - generative independent component analysis for EEG classification [Details]
Maria Dolores Chiara-Romero
  • ESANN 2022 - Interactive dual projections for gene expression analysis [Details]
  • ESANN 2022 - Interactive visual analytics for medical data: application to COVID-19 clinical information during the first wave [Details]
  • ESANN 2024 - Analysis of DNA methylation patterns in cancer samples using SOM [Details]
Maria Dolores Chiara-Romero
  • No papers found
Abdelgahni chibani
  • ESANN 2025 - Semantic Segmentation for Waterbody Extraction Using Superpixels and Convolutional Neural Networks Classifier [Details]
Abdelghani CHIBANI
  • ESANN 2018 - CDTW-based classification for Parkinson's Disease diagnosis [Details]
Elisabetta Chicca
  • ESANN 2004 - A VLSI reconfigurable network of integrate-and-fire neurons with spike-based learning synapses [Details]
Peter Chin
  • ESANN 2026 - AsymPuzl: A minimal puzzle testbed for LLM-based two agent communication with information asymmetry [Details]
C.-F. Chine
  • ESANN 2000 - Fuzzy entropy-constrained competitive learning algorithm [Details]
Omar Chiotti
  • ESANN 2005 - A Neural Network that helps building a Nonlinear Dynamical model of a Power Amplifier [Details]
Alessio Barbaro Chisari
  • ESANN 2024 - Federated Learning in a Semi-Supervised Environment for Earth Observation Data [Details]
wonjun cho
  • ESANN 2026 - Model Sees but Does Not Learn: Eliminating Error Propagation in Reasoning Distillation [Details]
S. Cho
  • ESANN 1996 - Neural network application: rainfall forecasting system in Hong Kong [Details]
Hyunggi Cho
  • ESANN 2009 - A neural network model of landmark recognition in the fiddler crab, Uca lactea [Details]
Tomáš Chobola
  • ESANN 2020 - Unsupervised Latent Space Translation Network [Details]
S. Choi
  • ESANN 1997 - A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria [Details]
Abiola Paterne Chokki
  • ESANN 2024 - ChatDT: Simplifying Constraint Integration in Decision Trees [Details]
Bhavin Choksi
  • ESANN 2025 - Analysing the impact of brain-inspired predictive coding dynamics through gradient based explainability methods [Details]
  • ESANN 2025 - Predictive Coding Dynamics Enhance Model-Brain Similarity [Details]
  • ESANN 2026 - Predictive Coding inspired convolutional networks can capture the neural dynamics of recurrent processing in human image recognition [Details]
T.W.S. Chow
  • ESANN 1995 - Neural network piecewise linear preprocessing for time-series prediction [Details]
  • ESANN 1996 - Neural network application: rainfall forecasting system in Hong Kong [Details]
  • ESANN 1997 - Neural network adative wavelets for function approximation [Details]
  • ESANN 2003 - Searching optimal feature subset using mutual information [Details]
Tommy W. S. Chow
  • ESANN 2007 - A new feature selection scheme using data distribution factor for transactional data [Details]
Stephane Chretien
  • ESANN 2021 - Benign overfitting of fully connected Deep Nets:A Sobolev space viewpoint [Details]
Jean-Joseph Christophe
  • ESANN 2014 - Direct Model-Predictive Control [Details]
Dimitrakakis Christos
  • ESANN 2004 - online policy adaptation for ensemble classifiers [Details]
C.F. Christoyannis
  • ESANN 1995 - Alternative output representation schemes affect learning and generalization of back-propagation ANNs; a decision support application [Details]