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
Niccolò Pancino
  • ESANN 2022 - A Deep Learning approach for oocytes segmentation and analysis [Details]
Nicola Pancotti
  • ESANN 2016 - Supervised quantum gate "teaching" for quantum hardware design [Details]
Arun Pandey
  • No papers found
Arun Pandey
  • ESANN 2022 - Recurrent Restricted Kernel Machines for Time-series Forecasting [Details]
Amey Pandit
  • ESANN 2021 - Data-Efficient Training of High-Resolution Images in Medical Domain [Details]
Onkar Pandit
  • ESANN 2019 - Learning Rich Event Representations and Interactions for Temporal Relation Classification [Details]
F. Panerai
  • ESANN 2000 - Learning VOR-like stabilization reflexes in robots [Details]
Andreas Papachristodoulou
  • ESANN 2023 - Introducing Convolutional Channel-wise Goodness in Forward-Forward Learning [Details]
Panagiotis Papadakis
  • ESANN 2024 - Invariant Representation Learning for Generalizable Imitation [Details]
G. Papadopoulos
  • ESANN 1999 - The application of neural networks to the paper-making industry [Details]
  • ESANN 2000 - Confidence estimation methods for neural networks : a practical comparison [Details]
Anthony Papavasiliou
  • ESANN 2015 - Solar PV Power Forecasting Using Extreme Learning Machine and Information Fusion [Details]
David Pape
  • ESANN 2023 - On the Limitations of Model Stealing with Uncertainty Quantification Models [Details]
Victor Paraschiv
  • ESANN 2017 - The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study [Details]
Matteo Pardi
  • ESANN 2023 - Entropy Based Regularization Improves Performance in the Forward-Forward Algorithm [Details]
M.E. Pardo
  • ESANN 2000 - Neurocontrol of a binary distillation column [Details]
Michael Pardowitz
  • ESANN 2010 - Neural competition for motion segmentation [Details]
N. Parga
  • ESANN 1997 - I.C.A.: conditions on cumulants and information theoretic approach [Details]
Debora Paris
  • No papers found
Debora Paris
  • ESANN 2022 - Classification of preclinical markers in Alzheimer's disease via WiSARD classifier [Details]
Julien Paris
  • ESANN 2024 - LSTM encoder-decoder model for contextualized time series forecasting applied to the simulation of a digital patient's physiological variables. [Details]
German Ignacio Parisi
  • ESANN 2014 - FINGeR: Framework for interactive neural-based gesture recognition [Details]
  • ESANN 2015 - Learning objects from RGB-D sensors using point cloud-based neural networks [Details]
R. Parisi
  • ESANN 2000 - Discriminative learning for neural decision feedback equalizers [Details]
German Parisi
  • ESANN 2016 - Learning contextual affordances with an associative neural architecture [Details]
T. Parisini
  • ESANN 1998 - Neural networks for the solution of information-distributed optimal control problems [Details]
Cheol Hoon Park
  • ESANN 2004 - a sliding mode controller using neural networks for robot manipulator [Details]
Sang-Hyeun Park
  • ESANN 2009 - Efficient voting prediction for pairwise multilabel classification [Details]
U. Parlitz
  • ESANN 2000 - Nonlinear prediction of spatio-temporal time series [Details]
Xavier Parra
  • ESANN 2013 - A Public Domain Dataset for Human Activity Recognition using Smartphones [Details]
  • ESANN 2013 - Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments [Details]
X. Parra
  • ESANN 2001 - Learning fault-tolerance in Radial Basis Function Networks [Details]
  • ESANN 2002 - An unified framework for 'All data at once' multi-class Support Vector Machines [Details]
Samuel Parsons
  • ESANN 2018 - Sleep staging with deep learning: a convolutional model [Details]