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
Sinvaldo Rodrigues Moreno
  • ESANN 2022 - Wind power forecasting based on bagging extreme learning machine ensemble model [Details]
Juan J. Rodriguez
  • ESANN 2006 - Rotation-based ensembles of RBF networks [Details]
M. Rodriguez Alvarez
  • ESANN 2002 - Orthogonal transformations for optimal time series prediction [Details]
Yanet Rodríguez Sarabia
  • ESANN 2010 - KNN behavior with set-valued attributes [Details]
Manuel Rodríguez-Alvarez
  • ESANN 2004 - Lattice ICA for the separation of speech signals [Details]
Daniel Rodríguez-Martín
  • ESANN 2013 - A heterogeneous database for movement knowledge extraction in Parkinson’s disease [Details]
Alejandro Rodríguez-Molinero
  • ESANN 2013 - A heterogeneous database for movement knowledge extraction in Parkinson’s disease [Details]
José Ramón Rodríguez-Ossorio
  • ESANN 2024 - Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics [Details]
A. Rodriguez-Vazquez
  • ESANN 2001 - CMOS design of focal plane programmable array processors [Details]
Pieter Roelfsema
  • ESANN 2014 - Learning resets of neural working memory [Details]
Jos Roerdink
  • ESANN 2017 - Support vector components analysis [Details]
Lutz Roese-Koerner
  • ESANN 2019 - Fast and reliable architecture selection for convolutional neural networks [Details]
Elena Roglia
  • ESANN 2008 - Classification of chestnuts with feature selection by noise resilient classifiers [Details]
Alexandrina Rogozan
  • ESANN 2020 - Random Signal Cut for Improving Multimodal CNN Robustness of 2D Road Object Detection [Details]
  • ESANN 2021 - Cross-modal verification for 3D object detection [Details]
A. Rogozan
  • ESANN 1998 - Hybrid Hidden Markow model / neural network models for speechreading [Details]
Alexandrina Rogozan
  • ESANN 2008 - Automatic alignment of medical vs. general terminologies [Details]
  • ESANN 2017 - Fusion of Stereo Vision for Pedestrian Recognition using Convolutional Neural Networks [Details]
  • ESANN 2019 - Improving Pedestrian Recognition using Incremental Cross Modality Deep Learning [Details]
Katharina J. Rohlfing
  • ESANN 2011 - Automatic Enhancement of Correspondence Detection in an Object Tracking System [Details]
David Rohrschneider
  • No papers found
David Rohrschneider
  • ESANN 2022 - Battery detection of XRay images using transfer learning [Details]
Gemma Roig
  • ESANN 2025 - Predictive Coding Dynamics Enhance Model-Brain Similarity [Details]
Gemma Roig
  • ESANN 2025 - Analysing the impact of brain-inspired predictive coding dynamics through gradient based explainability methods [Details]
Diederik Roijers
  • ESANN 2015 - Pareto Local Search for MOMDP Planning [Details]
F. Rojas
  • ESANN 2003 - Neural Net with Two Hidden Layers for Non-Linear Blind Source Separation [Details]
R. Rojas
  • ESANN 1994 - Visualizing the learning process for neural networks [Details]
F.J. Rojas
  • ESANN 2001 - The synergy between multideme genetic algorithms and fuzzy systems [Details]
Fernando Rojas
  • ESANN 2005 - Analysis of contrast functions in a genetic algorithm for post-nonlinear blind source separation [Details]
  • ESANN 2005 - Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network [Details]
I. Rojas
  • ESANN 1998 - What are the main factors involved in the design of a Radial Basis Function Network? [Details]
  • ESANN 2001 - A stochastic and competitive network for the separation of sources [Details]
  • ESANN 2001 - The synergy between multideme genetic algorithms and fuzzy systems [Details]
Ignacio Rojas
  • ESANN 2005 - Analysis of contrast functions in a genetic algorithm for post-nonlinear blind source separation [Details]
  • ESANN 2005 - Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network [Details]
  • ESANN 2009 - Applying Mutual Information for Prototype or Instance Selection in Regression Problems [Details]
Dalia Marcela Rojas Castro
  • ESANN 2015 - A Robust Neural Robot Navigation Using a Combination of Deliberative and Reactive Control Architectures [Details]
Fernando Rojas-Ruiz
  • ESANN 2004 - Lattice ICA for the separation of speech signals [Details]