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
Carlos Orrite
  • ESANN 2011 - SO-VAT: Self-Organizing Visual Assessment of cluster Tendency for large data sets [Details]
  • ESANN 2012 - magnitude sensitive competitive learning [Details]
J. Ortega
  • ESANN 2002 - Evaluating the impact of multiplicative input perturbations on radial basis function networks [Details]
  • ESANN 2002 - Orthogonal transformations for optimal time series prediction [Details]
Marcos Ortega
  • ESANN 2021 - Comprehensive Analysis of the Screening of COVID-19 Approaches in Chest X-ray Images from Portable Devices [Details]
Sandra Ortega
  • ESANN 2012 - Constructing similarity networks using the Fisher information metric [Details]
JULIO ORTEGA
  • ESANN 2004 - ON-LINE SUPPORT VECTOR MACHINES AND OPTIMIZATION STRATEGIES [Details]
Marcos Ortega
  • ESANN 2015 - On the use of machine learning techniques for the analysis of spontaneous reactions in automated hearing assessment [Details]
  • ESANN 2019 - Blind-spot network for image anomaly detection: A new approach to diabetic retinopathy screening [Details]
  • ESANN 2019 - Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans [Details]
Sandra Ortega-Martorell
  • ESANN 2010 - Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis [Details]
  • ESANN 2016 - A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases [Details]
Sandra Ortega-Martorell
  • ESANN 2021 - The partial response SVM [Details]
Manuel Ortega-Moral
  • ESANN 2005 - An On-line Fisher Discriminant [Details]
  • ESANN 2005 - Boosting by weighting boundary and erroneous samples [Details]
Silvia Ortin
  • ESANN 2012 - Simple reservoirs with chain topology based on a single time-delay nonlinear node [Details]
D. Ortiz Boyer
  • ESANN 2001 - Genetic algorithms with crossover based on confidence interval as an alternative to traditional nonlinear regression methods [Details]
Juan Miguel Ortiz-de-Lazcano-Lobato
  • ESANN 2006 - Enhanced maxcut clustering with multivalued neural networks and functional annealing [Details]
M. Ortiz-Gómez
  • ESANN 2003 - A new rule extraction algorithm based on interval arithmetic [Details]
  • ESANN 2003 - Ensemble Methods for Multilayer Feedforward [Details]
Román Orús Lacort
  • ESANN 2025 - CompactifAI: Extreme Compression of Large Language Models using Quantum-Inspired Tensor Networks [Details]
Lucas Oscar
  • ESANN 2004 - BIOSEG: a bioinspired vlsi analog system for image segmentation [Details]
Stanislaw Osowski
  • ESANN 2006 - Data mining techniques for feature selection in blood cell recognition [Details]
  • ESANN 2009 - Application of SVM for cell recognition in BCC skin pathology [Details]
A. Ossen
  • ESANN 1996 - An analysis of the metric structure of the weight space of feedforward networks and its application to time series modeling and prediction [Details]
Tomas Östman
  • ESANN 2005 - Empirical evidence of the linear nature of magnetoencephalograms [Details]
Iago Otero Coto
  • ESANN 2019 - Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans [Details]
Makoto Otsuka
  • ESANN 2010 - Free-energy-based reinforcement learning in a partially observable environment [Details]
Sebastian Otte
  • ESANN 2025 - Inferring Underwater Topography with Finite Volume Neural Networks [Details]
Georges Otte
  • ESANN 2009 - Brain-Computer Interfaces: from theory to practice [Details]
  • ESANN 2010 - Directional predictions for 4-class BCI data [Details]
Sebastian Otte
  • ESANN 2020 - A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction [Details]
  • ESANN 2020 - Sequence Classification using Ensembles of Recurrent Generative Expert Modules [Details]
Sebastian Otte
  • ESANN 2015 - Learning Recurrent Dynamics using Differential Evolution [Details]
  • ESANN 2015 - Robust Visual Terrain Classification with Recurrent Neural Networks [Details]
Clemens Otte
  • ESANN 2008 - Interpretable ensembles of local models for safety-related applications [Details]
  • ESANN 2009 - Heterogeneous mixture-of-experts for fusion of locally valid knowledge-based submodels [Details]
  • ESANN 2013 - Learning regression models with guaranteed error bounds [Details]
  • ESANN 2019 - interpretable dynamics models for data-efficient reinforcement learning [Details]
T. D. Otto
  • ESANN 2003 - Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis [Details]
C. Ou
  • ESANN 2000 - Fuzzy entropy-constrained competitive learning algorithm [Details]
C.-M. Ou
  • ESANN 2003 - Robust Vector Quantization for Burst Error Channels Using Genetic Algorithm [Details]
Rachid OUARET
  • ESANN 2017 - Indoor air pollutant sources using Blind Source Separation Methods [Details]
Mohamed Oubbati
  • ESANN 2011 - Anticipating Rewards in Continuous Time and Space with Echo State Networks and Actor-Critic Design [Details]