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
Victor C Ferreira
  • ESANN 2020 - Fast Deep Neural Networks Convergence using a Weightless Neural Model [Details]
C.Eurich
  • ESANN 1999 - What does a neuron talk about ? [Details]
Wouter Caarls
  • ESANN 2019 - Memory Efficient Weightless Neural Network using Bloom Filter [Details]
J. Cabestany
  • ESANN 1993 - Enhanced unit training for piecewise linear seperation incremental algorithms [Details]
  • ESANN 1994 - Improving piecewise linear separation incremental algorithms using complexity reduction methods [Details]
  • ESANN 1995 - A deterministic method for establishing the initial conditions in the RCE algorithm [Details]
  • ESANN 1995 - Derivation of a new criterion function based on an information measure for improving piecewise linear separation incremental algorithms [Details]
  • ESANN 1998 - A new dynamic LVQ-based classifier and its application to handwritten character recognition [Details]
  • ESANN 2003 - Comparison of neural algorithms for blind source separation in sensor array applications [Details]
Joan Cabestany
  • ESANN 2013 - A heterogeneous database for movement knowledge extraction in Parkinson’s disease [Details]
  • ESANN 2013 - Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments [Details]
Diego Leonel Cadette Dutra
  • ESANN 2022 - A WiSARD-based conditional branch predictor [Details]
  • ESANN 2022 - Distributive Thermometer: A New Unary Encoding for Weightless Neural Networks [Details]
  • ESANN 2022 - Pruning Weightless Neural Networks [Details]
Diego Leonel Cadette Dutra
  • No papers found
Eren Cakmak
  • ESANN 2018 - G-Rap: interactive text synthesis using recurrent neural network suggestions [Details]
Antonin Calba
  • ESANN 2021 - Density Independent Self-organized Support for Q-Value Function Interpolation in Reinforcement Learning [Details]
Colas CALBRIX
  • ESANN 2013 - Detection and quantification in real-time polymerase chain reaction [Details]
Lee Calcraft
  • ESANN 2006 - Gaussian and exponential architectures in small-world associative memories [Details]
  • ESANN 2007 - Sparsely-connected associative memory models with displaced connectivity [Details]
  • ESANN 2008 - Using graph-theoretic measures to predict the performance of associative memory models [Details]
  • ESANN 2009 - Connection strategy and performance in sparsely connected 2D associative memory models with non-random images [Details]
Federico Caldart
  • No papers found
Federico Caldart
  • ESANN 2022 - Biased Edge Dropout in NIFTY for Fair Graph Representation Learning [Details]
G. Calderon
  • ESANN 1996 - Negative initial weights improve learning in recurrent neural networks [Details]
P. Caleb-Solly
  • ESANN 2001 - An alternative approach for the evaluation of the neocognitron [Details]
Francesco Calimeri
  • ESANN 2018 - Graph based neural networks for automatic classification of multiple sclerosis clinical courses [Details]
O. Calvo
  • ESANN 2003 - Anticipated synchronization in neuron models [Details]
Andres Camacho
  • ESANN 2006 - Source separation with priors on the power spectrum of the sources [Details]
Flavio Camarrone
  • ESANN 2020 - Predicting low gamma- from lower frequency band activity in electrocorticography [Details]
Andrés Camero
  • ESANN 2021 - Compact Neural Architecture Search for Local Climate Zones Classification [Details]
  • ESANN 2024 - Leveraging performance-based metadata for designing multi-objective NAS strategies for efficient models in Earth Observation [Details]
Celso Camilo-Junior
  • ESANN 2018 - Evolutionary Composition of Customized Fault Localization Heuristics [Details]
G. Campa
  • ESANN 2003 - Post-failure analysis of an adaptive predictor-corrector neural controller on a flight simulator [Details]
C. Campbell
  • ESANN 1995 - Constructing feed-forward neural networks for binary classification tasks [Details]
  • ESANN 1999 - A multiplicative updating algorithm for training support vector machine [Details]
  • ESANN 2000 - Algorithmic approaches to training Support Vector Machines: a survey [Details]
  • ESANN 2000 - Robust Bayes Point Machines [Details]
Colin Campbell
  • ESANN 2009 - A Variational Approach to Semi-Supervised Clustering [Details]
  • ESANN 2014 - A Random Forest proximity matrix as a new measure for gene annotation [Details]
Stefano Campese
  • ESANN 2020 - Exploring the feature space of character-level embeddings [Details]
Aurélio Campilho
  • ESANN 2016 - Feature definition, analysis and selection for lung nodule classification in chest computerized tomography images [Details]
  • ESANN 2016 - Machine learning for medical applications [Details]
Ángel Campo
  • ESANN 2010 - Evolution of adaptive center-crossing continuous time recurrent neural networks for biped robot control [Details]
  • ESANN 2019 - MAP best performances prediction for endurance runners [Details]
OCTAVIA CAMPS
  • ESANN 2022 - Dynamics-aware Representation Learning via Multivariate Time Series Transformers [Details]
OCTAVIA CAMPS
  • No papers found
Gustavo Camps-Valls
  • ESANN 2006 - Bootstrap feature selection in support vector machines for ventricular fibrillation detection [Details]