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
Arnaud Revel
  • ESANN 2015 - A Robust Neural Robot Navigation Using a Combination of Deliberative and Reactive Control Architectures [Details]
A. Revel
  • ESANN 1999 - Taking inspiration from the Hippocampus can help solving robotics problems [Details]
Charlotte REVEL
  • ESANN 2017 - Impact of the initialisation of a blind unmixing method dealing with intra-class variability [Details]
Céline Reverdy
  • ESANN 2024 - Towards Contrail Mitigation through Robust and Frugal AI-Driven Data Exploitation [Details]
Etienne Reyes
  • ESANN 2007 - Classifying n-back EEG data using entropy and mutual information features [Details]
C. A. Reyes Garcia
  • ESANN 2003 - Detecting Pathologies from Infant Cry Applying Scaled Conjugated Gradient Neural Networks [Details]
Jorge Luis Reyes-Ortiz
  • ESANN 2013 - A Public Domain Dataset for Human Activity Recognition using Smartphones [Details]
  • ESANN 2013 - Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments [Details]
Nima Reyhani
  • ESANN 2005 - Mutual information and gamma test for input selection [Details]
  • ESANN 2006 - Determination of the Mahalanobis matrix using nonparametric noise estimations [Details]
  • ESANN 2006 - EM-algorithm for training of state-space models with application to time series prediction [Details]
E. Reynaud
  • ESANN 2002 - Neural networks for modeling memory : case studies [Details]
L. Reyneri
  • ESANN 1998 - A comparison between weighted radial basis functions and wavelet networks [Details]
  • ESANN 1999 - Neuro-wavelet parametric characterization of hardness profiles [Details]
  • ESANN 1999 - Orthogonal least square algorithm applied to the initialization of multi-layer perceptrons [Details]
  • ESANN 2001 - Applications of neuro-fuzzy classification, evaluation and forecasting techniques in agriculture [Details]
  • ESANN 2002 - Neuro-fuzzy methodologies for the clustering and the reliability estimation of olive fruit fly infestation [Details]
L. M. Reyneri
  • ESANN 2003 - On industrial acceptance of neuro-fuzzy systems [Details]
Leonardo Reyneri
  • ESANN 2004 - Enhanced unsupervised segmentation of multispectral Magnetic Resonance images [Details]
L.M. Reyneri
  • ESANN 1994 - A comparison of neural networks, linear controllers, genetic algorithms and simulated annealing for real time control [Details]
  • ESANN 1997 - Performance of weighted radial basis function classifiers [Details]
  • ESANN 1998 - A neural approach to a sensor fusion problem [Details]
  • ESANN 2000 - Training activation function in parametric classification [Details]
Leonardo Reyneri
  • ESANN 2004 - Classification and Prediction in Highly Dimensional Spaces - An Application to Tribology [Details]
R. Reynolds
  • ESANN 2002 - Improving robustness of fuzzy gene modeling [Details]
Gilberto Reynoso-Meza
  • ESANN 2016 - On the improvement of static force capacity of humanoid robots based on plants behavior [Details]
Nasser Rezzoug
  • ESANN 2023 - Derivative-Free Optimization Approaches for Force Polytopes Prediction [Details]
Jaime A Riascos
  • ESANN 2024 - Machine Learning Methods for BCI: challenges, pitfalls and promises [Details]
Vicent Ribas Ripoll
  • ESANN 2013 - A quotient basis kernel for the prediction of mortality in severe sepsis patients [Details]
Olivier Ribaux
  • ESANN 2006 - Pattern analysis in illicit heroin seizures: a novel application of machine learning algorithms [Details]
Eduardo Ribeiro
  • ESANN 2019 - Weightless neural systems for deforestation surveillance and image-based navigation of UAVs in the Amazon forest [Details]
Ricardo Ribeiro
  • ESANN 2007 - Prediction of post-synaptic activity in proteins using recursive feature elimination [Details]
Bernardete Ribeiro
  • ESANN 2021 - Decay Momentum for Improving Federated Learning [Details]
  • ESANN 2021 - Improvement on Generative Adversarial Network for Targeted Drug Design [Details]
  • ESANN 2021 - Multiobjective Reinforcement Learning in Optimized Drug Design [Details]
  • ESANN 2023 - Convolutional Transformer via Graph Embeddings for Few-shot Toxicity and Side Effect Prediction [Details]
A. Ribert
  • ESANN 1999 - Generalisation capabilities of a distributed neural classifier [Details]
Sousa Ricardo
  • ESANN 2014 - reject option paradigm for the reduction of support vectors [Details]
A. Riccardi
  • ESANN 2000 - Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier [Details]
Carlo Ricciardi
  • ESANN 2025 - A Model of Memristive Nanowire Neuron for Recurrent Neural Networks [Details]
Giuseppe Riccio
  • ESANN 2018 - stellar formation rates in galaxies using machine learning models [Details]
F.M. Richardson
  • ESANN 2002 - Connectionist models investigating representations formed in the sequential generation of characters [Details]
Daniel Richardson
  • ESANN 2005 - linear algebra for time series of spikes [Details]