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
J.A. Perez-Ortiz 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]
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]
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]
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]
L. Pessoa
  • ESANN 1996 - Neural model for visual contrast detection [Details]
R. Petacchi
  • ESANN 2002 - Neuro-fuzzy methodologies for the clustering and the reliability estimation of olive fruit fly infestation [Details]
Diego Peteiro-Barral
  • ESANN 2011 - A distributed learning algorithm based on two-layer artificial neural networks and genetic algorithms [Details]
B. Petek
  • ESANN 1994 - A discriminative HCNN modeling [Details]
Tino Peter
  • ESANN 2012 - Process Mining in Non-Stationary Environments [Details]
  • ESANN 2012 - Short Term Memory Quantifications in Input-Driven Linear Dynamical Systems [Details]
  • ESANN 2012 - Theory of Input Driven Dynamical Systems [Details]
Gabriele Peters
  • ESANN 2014 - Supporting GNG-based clustering with local input space histograms [Details]
Jan Peters
  • ESANN 2007 - Applying the Episodic Natural Actor-Critic Architecture to Motor Primitive Learning [Details]
  • ESANN 2008 - Learning Inverse Dynamics: a Comparison [Details]
  • ESANN 2008 - Model-Based Reinforcement Learning with Continuous States and Actions [Details]
G. Peters
  • ESANN 1997 - Object recognition with banana wavelets [Details]
  • ESANN 2002 - Learning sparse representations of three-dimensional objects [Details]
L. Peters
  • ESANN 2002 - Connectionist models investigating representations formed in the sequential generation of characters [Details]
  • ESANN 2002 - Why will rat's go where rats will not? [Details]
Karl-Magnus Petersson
  • No papers found
Robert Petit
  • ESANN 2013 - Read classification for next generation sequencing [Details]
Nicolai Petkov
  • ESANN 2006 - Classification of Boar Sperm Head Images using Learning Vector Quantization [Details]
  • ESANN 2009 - Adaptive Metrics for Content Based Image Retrieval in Dermatology [Details]
  • ESANN 2018 - Globular Cluster Detection in the Gaia Survey [Details]
Teodora Petrisor
  • ESANN 2024 - Towards Contrail Mitigation through Robust and Frugal AI-Driven Data Exploitation [Details]
A. Petrolini
  • ESANN 1999 - Support vector machines vs multi-layer perceptrons in particle identification [Details]
Vahan Petrosyan
  • ESANN 2017 - Viral initialization for spectral clustering [Details]
Clément Peyrard
  • ESANN 2016 - Boosting face recognition via neural Super-Resolution [Details]
Lukas Pfannschmidt
  • ESANN 2017 - Feature Relevance Bounds for Linear Classification [Details]
  • ESANN 2019 - Feature relevance bounds for ordinal regression [Details]