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
Filip Ponulak
  • ESANN 2006 - Generalization properties of spiking neurons trained with ReSuMe method [Details]
Danut Ovidiu Pop
  • 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]
Mikhail Popov
  • ESANN 2020 - Anomaly Detection Approach in Cyber Security for User and Entity Behavior Analytics System [Details]
Mario Porrmann
  • ESANN 2012 - gNBXe -- a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps [Details]
M. Porrmann
  • ESANN 2002 - A reconfigurable SOM hardware accelerator [Details]
Filippo Portera
  • ESANN 2004 - a preliminary experimental comparison of recursive neural networks and a tree kernel method for QSAR/QSPR regression tasks [Details]
Iago Porto-Díaz
  • ESANN 2014 - Modeling consumption of contents and advertising in online newspapers [Details]
Jean-Baptiste Pothin
  • ESANN 2025 - Coherence-based Sample Selection for Class-incremental Learning [Details]
Michael Potter
  • No papers found
Michael Potter
  • ESANN 2022 - Dynamics-aware Representation Learning via Multivariate Time Series Transformers [Details]
Alejandro Pozas-Kerstjens
  • ESANN 2020 - Understanding and improving unsupervised training of Boltzman machines [Details]
Alexei Pozdnoukhov
  • ESANN 2008 - GeoKernels: modeling of spatial data on geomanifolds [Details]
Timothy Praditia
  • ESANN 2025 - Inferring Underwater Topography with Finite Volume Neural Networks [Details]
Daniel Pranjic
  • ESANN 2025 - Quantum Annealing based Feature Selection [Details]
Maria Prapopoulou
  • ESANN 2010 - The Application of Gaussian Processes in the Prediction of Percutaneous Absorption for Mammalian and Synthetic Membranes [Details]
Ranjitha Prasad
  • ESANN 2020 - MultiMBNN: Matched and Balanced Causal Inference with Neural Networks [Details]
Gabriel Prat
  • ESANN 2016 - Instance and feature weighted k-nearest-neighbors algorithm [Details]
Bavishna Balagopal Praveen
  • ESANN 2012 - Classifying Scotch Whisky from near-infrared Raman spectra with a Radial Basis Function Network with Relevance Learning [Details]
Frédéric Precioso
  • ESANN 2012 - Linear kernel combination using boosting [Details]
  • ESANN 2017 - Active learning strategy for CNN combining batchwise Dropout and Query-By-Committee [Details]
Cristian Preda
  • ESANN 2012 - Curves clustering with approximation of the density of functional random variables [Details]
M. Pregenzer
  • ESANN 1995 - Improvement of EEG classification with a subject-specific feature selection [Details]
Peter Preinesberger
  • ESANN 2025 - Multiclass Adaptive Subspace Learning [Details]
Dumitru Bogdan Prelipcean
  • No papers found
Cosimo Antonio Prete
  • ESANN 2025 - Explainable ensemble learning for structural damage prediction under seismic events [Details]
Philippe Preux
  • ESANN 2007 - A unified view of TD algorithms, introducing Full-gradient TD and Equi-gradient descent TD [Details]
Roberto Prevete
  • ESANN 2019 - Explaining classification systems using sparse dictionaries [Details]
Jean-Christophe Prévotet
  • ESANN 2008 - Neural network hardware architecture for pattern recognition in the HESS2 project [Details]
J.-C. Prévotet
  • ESANN 2002 - Hardware solutions for implementation of neural networks in High Energy Physics triggers [Details]
Rodolphe Priam
  • No papers found
A. Prieto
  • ESANN 1994 - A comparison of neural networks, linear controllers, genetic algorithms and simulated annealing for real time control [Details]
  • ESANN 1998 - Separation of sources in a class of post-nonlinear mixtures [Details]
  • ESANN 1998 - What are the main factors involved in the design of a Radial Basis Function Network? [Details]
  • ESANN 2002 - Orthogonal transformations for optimal time series prediction [Details]