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]

M. Porrmann

• ESANN 2002 - A reconfigurable SOM hardware accelerator [Details]

Mario Porrmann

• ESANN 2012 - gNBXe -- a Reconfigurable Neuroprocessor for Various Types of Self-Organizing Maps [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

• ESANN 2022 - Dynamics-aware Representation Learning via Multivariate Time Series Transformers [Details]

Michael Potter

• No papers found

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

B. Prieto

• ESANN 1998 - Separation of sources in a class of post-nonlinear mixtures [Details]
• ESANN 2001 - A stochastic and competitive network for the separation of sources [Details]