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
Dominique Courcot
  • ESANN 2014 - Enhanced NMF initialization using a physical model for pollution source apportionment [Details]
Nicolas Courty
  • ESANN 2016 - A new penalisation term for image retrieval in clique neural networks [Details]
Aaron Courville
  • ESANN 2016 - Deep Learning Vector Quantization [Details]
Jean Coussirou
  • ESANN 2022 - Anomaly detections on the oil system of a turbofan engine by a neural autoencoder [Details]
Jean Coussirou
  • No papers found
Anthony Coutant
  • ESANN 2021 - Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation [Details]
Anthony Coutant
  • ESANN 2015 - On the equivalence between regularized NMF and similarity-augmented graph partitioning [Details]
Paulo Coutinho
  • ESANN 2014 - Extracting rules from DRASiW’s "mental images" [Details]
C. Couvreur
  • ESANN 1995 - MAP decomposition of a mixture of AR signal using multilayer perceptrons [Details]
Glen Cowan
  • ESANN 2016 - How machine learning won the Higgs boson challenge [Details]
Laura Cozzi
  • ESANN 2006 - Cultures of dissociated neurons display a variety of avalanche behaviours [Details]
David Crawford
  • No papers found
Francesco Crecchi
  • ESANN 2019 - Detecting Black-box Adversarial Examples through Nonlinear Dimensionality Reduction [Details]
Francesco Crecchi
  • ESANN 2020 - Perplexity-free Parametric t-SNE [Details]
B. Crespi
  • ESANN 1999 - Storage capacity and dynamics of nonmonotonic networks [Details]
J.L. Crespo
  • ESANN 2000 - Using higher order synapses and nodes to improve sensing capabilities of mobile robots [Details]
Perrine Cribier-Delande
  • ESANN 2020 - Time Series Prediction using Disentangled Latent Factors [Details]
N. Cristianini
  • ESANN 1999 - A multiplicative updating algorithm for training support vector machine [Details]
Joana Cristo Santos
  • ESANN 2024 - Reconstruction of Mammography Projections using Image-to-Image Translation Techniques [Details]
Joana Cristo Santos
  • ESANN 2020 - Missing Image Data Imputation using Variational Autoencoders with Weighted Loss [Details]
Matthew W. Crocker
  • ESANN 2007 - Systematicity in sentence processing with a recursive self-organizing neural network [Details]
Nigel Crook
  • ESANN 2023 - Efficient Learning in Spiking Models [Details]
  • ESANN 2023 - Functional Resonant Synaptic Clusters for Decoding Time-Structured Spike Trains [Details]
Nigel Crook
  • ESANN 2004 - a chaotic basis for neural coding [Details]
  • ESANN 2005 - The Nonlinear Dynamic State neuron [Details]
  • ESANN 2006 - Nonlinear dynamics in neural computation [Details]
  • ESANN 2006 - Nonlinear transient computation and variable noise tolerance [Details]
  • ESANN 2007 - Human motion recognition using Nonlinear Transient Computation [Details]
  • ESANN 2007 - Pattern Recognition using Chaotic Transients [Details]
N. Crook
  • ESANN 2001 - A novel chaotic neural network architecture [Details]
  • ESANN 2002 - Learning in a chaotic neural network [Details]
Malcolm Crowe
  • ESANN 2010 - Curvilinear component analysis and Bregman divergences [Details]
Daniel Crowley
  • ESANN 2024 - SAT Instances Generation Using Graph Variational Autoencoders [Details]
Michel Crucianu
  • ESANN 2010 - On Finding Complementary Clusterings [Details]
M. Crucianu
  • ESANN 1998 - NAR time-series prediction: a Bayesian framework and an experiment [Details]
  • ESANN 2000 - An algorithm for the addition of time-delayed connections to recurrent neural networks [Details]
Francisco Cruz
  • ESANN 2016 - Learning contextual affordances with an associative neural architecture [Details]
  • ESANN 2019 - Human feedback in continuous actor-critic reinforcement learning [Details]
Luciano F. da Cruz
  • ESANN 2014 - Swim velocity profile identification through a Dynamic Self-adaptive Multiobjective Harmonic Search and RBF neural networks [Details]