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
Haoyan Chen
  • ESANN 2018 - Anomaly detection in star light curves using hierarchical Gaussian processes [Details]
Minyou Chen
  • ESANN 2005 - Artificial intelligence techniques for the prediction of bladder cancer progression [Details]
Xi Chen
  • ESANN 2023 - Language Modeling in Logistics: Customer Calling Prediction [Details]
Huanhuan Chen
  • ESANN 2014 - Support Vector Ordinal Regression using Privileged Information [Details]
Mickael CHEN
  • ESANN 2018 - transferring style in motion capture sequences with adversarial learning [Details]
Weiliang Chen
  • ESANN 2008 - Using graph-theoretic measures to predict the performance of associative memory models [Details]
Jun Chen
  • ESANN 2015 - A new fuzzy neural system with applications [Details]
Jianshu Chen
  • ESANN 2012 - Distributed learning via Diffusion adaptation with application to ensemble learning [Details]
Hao Chen
  • ESANN 2013 - Efficient VLSI Architecture for Spike Sorting Based on Generalized Hebbian Algorithm [Details]
Xu Chenhao
  • ESANN 2017 - Learning convolutional neural network to maximize Pos@Top performance measure [Details]
R. Chentouf
  • ESANN 1996 - Combining sigmoids and radial basis functions in evolutive neural architectures [Details]
Aymen Cherif
  • ESANN 2020 - Adversarial domain adaptation without gradient reversal layer [Details]
Aymen Cherif
  • ESANN 2018 - Image retrieval and ranking through Deep Comparative Neural Networks [Details]
S. Chernov
  • ESANN 2000 - Application of MLP and stochastic simulations for electricity load forecasting in Russia [Details]
Nadezda Chernyavskaya
  • ESANN 2023 - Knowledge Distillation for Anomaly Detection [Details]
G. Cheron
  • ESANN 1993 - An efficient learning model for the neural integrator of the oculomotor system [Details]
  • ESANN 1995 - Identification of the human arm kinetics using dynamic recurrent neural networks [Details]
  • ESANN 1996 - Adaptative time constants improve the dynamic features of recurrent neural networks [Details]
  • ESANN 1996 - Negative initial weights improve learning in recurrent neural networks [Details]
  • ESANN 1997 - Evidence of efficiency of recurrent neural networks with ARMA-like units [Details]
  • ESANN 1998 - Control of a subsonic electropneumatic acoustic generator with dynamic recurrent neural networks [Details]
Manuela Chessa
  • ESANN 2009 - A neural model for binocular vergence control without explicit calculation of disparity [Details]
M. Chetouani
  • ESANN 2002 - Neural predictive coding for speech discriminant feature extraction: The DFE-NPC [Details]
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 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]
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]
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]
M. Chiaberge
  • ESANN 1994 - A comparison of neural networks, linear controllers, genetic algorithms and simulated annealing for real time control [Details]
Marcello Chiaberge
  • No papers found
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
Abdelghani CHIBANI
  • ESANN 2018 - CDTW-based classification for Parkinson's Disease diagnosis [Details]
Abdelgahni chibani
  • ESANN 2025 - Semantic Segmentation for Waterbody Extraction Using Superpixels and Convolutional Neural Networks Classifier [Details]