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
Francesco Crecchi
  • ESANN 2019 - Detecting Black-box Adversarial Examples through Nonlinear Dimensionality Reduction [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]
Guillaume Crevecoeur
  • ESANN 2025 - Efficient Training of Neural SDEs Using Stochastic Optimal Control [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 2020 - Missing Image Data Imputation using Variational Autoencoders with Weighted Loss [Details]
Joana Cristo Santos
  • ESANN 2024 - Reconstruction of Mammography Projections using Image-to-Image Translation Techniques [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]
Lehel Csato
  • ESANN 2007 - Kernel PCA based clustering for inducing features in text categorization [Details]
  • ESANN 2009 - Dirichlet process-based component detection in state-space models [Details]
  • ESANN 2012 - Manifold-based non-parametric learning of action-value functions [Details]
  • ESANN 2013 - Linear spectral hashing [Details]
  • ESANN 2014 - Augmented hashing for semi-supervised scenarios [Details]
Abel A. Cuadrado
  • ESANN 2018 - Interactive dimensionality reduction of large datasets using interpolation [Details]
Abel Cuadrado
  • ESANN 2017 - Latent variable analysis in hospital electric power demand using non-negative matrix factorization [Details]
Abel Alberto Cuadrado-Vega
  • ESANN 2016 - A state-space model on interactive dimensionality reduction [Details]
Abel A. Cuadrado-Vega
  • 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]
  • ESANN 2024 - Interactive Machine Learning-Powered Dashboard for Energy Analytics in Residential Buildings [Details]
Abel Alberto Cuadrado-Vega
  • ESANN 2024 - Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics [Details]
Abel A. Cuadrado-Vega
  • ESANN 2014 - Interactive dimensionality reduction for visual analytics [Details]
Abel A. Cuadrado-Vega
  • No papers found
J. Cuguero
  • ESANN 1995 - Derivation of a new criterion function based on an information measure for improving piecewise linear separation incremental algorithms [Details]
Raymond Cuijpers
  • ESANN 2009 - Generalisation of action sequences in RNNPB networks with mirror properties [Details]
Gabriel Cunha
  • ESANN 2017 - A decision support system based on cellular automata to help the control of late blight in tomato cultures [Details]
P. Cunningham
  • ESANN 1999 - The NeuralBAG algorithm: optimizing generalization performance in bagged neural networks [Details]