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
Francisco Pereira
  • No papers found
Alvaro Pereira
  • ESANN 2024 - Transfer learning to minimize the predictive risk in clinical research [Details]
José Pereira Amorim
  • ESANN 2020 - Missing Image Data Imputation using Variational Autoencoders with Weighted Loss [Details]
Pedro Pereira Rodrigues
  • ESANN 2020 - Missing Image Data Imputation using Variational Autoencoders with Weighted Loss [Details]
Herbert Peremans
  • ESANN 2007 - Bat echolocation modelling using spike kernels with Support Vector Regression. [Details]
  • ESANN 2011 - Principal component analysis for unsupervised calibration of bio-inspired airflow array sensors [Details]
  • ESANN 2012 - EMFit based Ultrasonic Phased Arrays with evolved Weights for Biomimetic Target Localization [Details]
P. Peretto
  • ESANN 1995 - An evolutive architecture coupled with optimal perceptron learning for classification [Details]
Sergei Pereverzyev
  • No papers found
Daniel Pérez
  • ESANN 2017 - Latent variable analysis in hospital electric power demand using non-negative matrix factorization [Details]
  • ESANN 2018 - Interactive dimensionality reduction of large datasets using interpolation [Details]
Ivan Perez Digon
  • ESANN 2026 - FedHENet: A Frugal Federated Learning Framework for Heterogeneous Environments [Details]
Bernardo Pérez Orozco
  • ESANN 2020 - Zero-shot and few-shot time series forecasting with ordinal regression recurrent neural networks [Details]
Beatriz Pérez Sánchez
  • ESANN 2021 - Federated Learning approach for SpectralClustering [Details]
C. Perez Vincente
  • ESANN 1995 - Constructing feed-forward neural networks for binary classification tasks [Details]
Carlos Pérez-López
  • ESANN 2013 - A heterogeneous database for movement knowledge extraction in Parkinson’s disease [Details]
Daniel Perez-Lopez
  • ESANN 2014 - Interactive dimensionality reduction for visual analytics [Details]
María Pérez-Ortiz
  • ESANN 2013 - Multi-scale Support Vector Machine Optimization by Kernel Target-Alignment [Details]
  • ESANN 2013 - Synthetic over-sampling in the empirical feature space [Details]
J.A. Perez-Ortiz Beatriz Pérez-Sánchez
  • ESANN 2007 - Classification of computer intrusions using functional networks. A comparative study [Details]
  • ESANN 2008 - A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis [Details]
  • ESANN 2011 - A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms [Details]
  • ESANN 2016 - A fast learning algorithm for high dimensional problems: an application to microarrays [Details]
  • ESANN 2016 - Distributed learning algorithm for feedforward neural networks [Details]
  • ESANN 2018 - Feature selection for label ranking [Details]
  • ESANN 2018 - LANN-DSVD: A privacy-preserving distributed algorithm for machine learning [Details]
Andres Perez-Uribe
  • ESANN 2016 - Augmenting a convolutional neural network with local histograms - A case study in crop classification from high-resolution UAV imagery [Details]
M.G. Perhinschi
  • ESANN 2003 - Post-failure analysis of an adaptive predictor-corrector neural controller on a flight simulator [Details]
Miranda Péricles
  • ESANN 2015 - I/S-Race: An iterative Multi-Objective Racing Algorithm for the SVM Parameter Selection Problem [Details]
Mirko Perkusich
  • ESANN 2026 - On the Impact of Differential Privacy on Federated Neuromorphic Learning Accuracy [Details]
Cira Perna
  • ESANN 2008 - A multiple testing procedure for input variable selection in neural networks [Details]
V. Perrault
  • ESANN 1997 - d-NARMA neural networks: a connectionist extension of ARARMA models [Details]
L. Perrinet
  • ESANN 2002 - Sparse image coding using an asynchronous spiking neural network [Details]
D. Perrotta
  • ESANN 1998 - To stop learning using the evidence [Details]
Gilles Perrouin
  • ESANN 2023 - FairBayRank: A Fair Personalized Bayesian Ranker [Details]
  • ESANN 2024 - CNNGen: A Generator and a Dataset for Energy-Aware Neural Architecture Search [Details]
  • ESANN 2024 - Trust in Artificial Intelligence: Beyond Interpretability [Details]
Jan-Ole Perschewski
  • ESANN 2025 - INAM: Image-Scale Neural Additive Models [Details]
C. Perwass
  • ESANN 2003 - The hypersphere neuron [Details]
Luis Pesquera
  • ESANN 2012 - Simple reservoirs with chain topology based on a single time-delay nonlinear node [Details]
Baptiste Pesquet
  • ESANN 2025 - Towards metacognitive agents: integrating confidence in sequential decision-making [Details]