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
D.O. Cardoso
  • ESANN 2013 - WIPS: the WiSARD Indoor Positioning System [Details]
Ricardo Cardoso Pereira
  • ESANN 2020 - Missing Image Data Imputation using Variational Autoencoders with Weighted Loss [Details]
Léna Carel
  • ESANN 2017 - Non-negative matrix factorization as a pre-processing tool for travelers temporal profiles clustering [Details]
Franck Carenzi
  • ESANN 2005 - Using generic neural networks in the control and prediction of grasp postures [Details]
Hervé Carfantan
  • ESANN 2006 - A time-scale correlation-based blind separation method applicable to correlated sources [Details]
Riley Carlin
  • ESANN 2023 - Exploring Strategies for Modeling Sign Language Phonology [Details]
García Puntonet Carlos
  • ESANN 2005 - Analysis of contrast functions in a genetic algorithm for post-nonlinear blind source separation [Details]
R. Carmona
  • ESANN 2001 - CMOS design of focal plane programmable array processors [Details]
Hugo Carneiro
  • ESANN 2013 - B-bleaching: Agile Overtraining Avoidance in the WiSARD Weightless Neural Classifier [Details]
  • ESANN 2014 - Credit analysis with a clustering RAM-based neural classifier [Details]
  • ESANN 2014 - Extracting rules from DRASiW’s "mental images" [Details]
Andrew Carnell
  • ESANN 2005 - linear algebra for time series of spikes [Details]
J. Carney
  • ESANN 1999 - The NeuralBAG algorithm: optimizing generalization performance in bagged neural networks [Details]
R. Carnpanini
  • ESANN 2000 - Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier [Details]
Louis-Charles Caron
  • ESANN 2014 - Neural network based 2D/3D fusion for robotic object recognition [Details]
Emmanuel Caron-Parte
  • ESANN 2021 - Benign overfitting of fully connected Deep Nets:A Sobolev space viewpoint [Details]
Tommaso Carraro
  • ESANN 2022 - Bayes Point Rule Set Learning [Details]
Tommaso Carraro
  • No papers found
R.C. Carrasco
  • ESANN 1999 - Encoding of sequential translators in discrete-time recurrent neural nets [Details]
Juan J. Carrasco
  • ESANN 2013 - Feature Selection for Footwear Shape Estimation [Details]
  • ESANN 2013 - Machine Learning Techniques for Short-Term Electric Power Demand Prediction [Details]
  • ESANN 2013 - Temperature Forecast in Buildings Using Machine Learning Techniques [Details]
Maxime Carré
  • ESANN 2021 - Object Detection on Thermal Images: Performance of YOLOv4 Trained on Small Datasets [Details]
Alessio Carrega
  • ESANN 2018 - Set point thresholds from topological data analysis and an outlier detector [Details]
Evelien Carrette
  • ESANN 2020 - Predicting low gamma- from lower frequency band activity in electrocorticography [Details]
Antonio Carta
  • ESANN 2021 - Continual Learning with Echo State Networks [Details]
Antonio Carta
  • ESANN 2025 - Replay-free Online Continual Learning with Self-Supervised MultiPatches [Details]
Francesco Cartella
  • ESANN 2011 - Inferring the causal decomposition under the presence of deterministic relations [Details]
J.N. Carter
  • ESANN 2002 - Biologically-inspired human motion detection [Details]
Thiago Vieira de Carvalho
  • ESANN 2005 - Using CMU PIE Human Face Database to a Convolutional Neural Network - Neocognitron [Details]
Diego Carvalho
  • ESANN 2017 - A neuro-symbolic approach to GPS trajectory classification [Details]
Rafael Carvalho
  • ESANN 2015 - A WiSARD-based multi-term memory framework for online tracking of objects [Details]
Divani da S. Carvalho
  • ESANN 2015 - The use of RBF neural network to predict building’s corners hygrothermal behavior [Details]
Bernardo Carvalho
  • ESANN 2007 - A-LSSVM: an Adaline based iterative sparse LS-SVM classifier [Details]
  • ESANN 2007 - Prediction of post-synaptic activity in proteins using recursive feature elimination [Details]