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
Georgios Birpoutsoukis
  • ESANN 2020 - Gaussian process regression for the estimation of stable univariate time-series processes [Details]
Arpad Bischof
  • ESANN 2024 - AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight Cameras [Details]
Bastian Bischoff
  • ESANN 2013 - Hierarchical Reinforcement Learning for Robot Navigation [Details]
  • ESANN 2013 - Learning control under uncertainty: A probabilistic Value-Iteration approach [Details]
Christopher Bishop
  • ESANN 2004 - Robust Bayesian Mixture Modelling [Details]
Clémence Bisot
  • ESANN 2021 - Convolutional Neural Network Architecture for Classification of Aircraft Engines Flight Time Series [Details]
Dass Bissessur
  • ESANN 2006 - A time-scale correlation-based blind separation method applicable to correlated sources [Details]
Rachel Bittern
  • ESANN 2005 - An artificial neural network for analysing the survival of patients with colorectal cancer [Details]
Sebastian Bitzer
  • ESANN 2009 - Does dimensionality reduction improve the quality of motion interpolation? [Details]
Dag Björnberg
  • ESANN 2024 - Unpaired Image-to-Image Translation to Improve Log End Identification [Details]
Kaj-Mikael Bjork
  • ESANN 2015 - Towards a Tomographic Index of Systemic Risk Measures [Details]
Lois Black
  • ESANN 2010 - Identifying informative features for ERP speller systems based on RSVP paradigm [Details]
Michaela Black
  • ESANN 2008 - Improvement in Game Agent Control Using State-Action Value Scaling [Details]
Sebastian Blaes
  • ESANN 2016 - Feature binding in deep convolution networks with recurrences, oscillations, and top-down modulated dynamics [Details]
Eva Blanco-Mallo
  • ESANN 2025 - Do not get lost in projection: finding the right distance for meaningful UMAP embeddings [Details]
Alexandre Blansché
  • ESANN 2018 - K-spectral centroid: extension and optimizations [Details]
Enrico Blanzieri
  • ESANN 2019 - Very Simple Classifier: a concept binary classifier to investigate features based on subsampling and locality [Details]
Matthew Blaschko
  • ESANN 2018 - Shallow and Deep Models for Domain Adaptation problems [Details]
François Blayo
  • No papers found
François Blayo
  • ESANN 2022 - A bayesian variational principle for dynamic self organizing maps [Details]
Patrick Blöbaum
  • ESANN 2015 - Unsupervised Dimensionality Reduction for Transfer Learning [Details]
  • ESANN 2017 - A novel principle for causal inference in data with small error variance [Details]
G. Bloch
  • ESANN 1998 - A multistage on-line learning rule for multilayer neural network [Details]
  • ESANN 2002 - State reconstruction of piecewise linear maps using a clustering machine [Details]
Isabelle BLOCH
  • ESANN 2012 - Automatic selection of the number of spatial filters for motor-imagery BCI [Details]
Wolfgang Block
  • No papers found
Wolfgang Block
  • ESANN 2022 - Improving Intensive Care Chest X-Ray Classification by Transfer Learning and Automatic Label Generation [Details]
Taco J. Blokhuis
  • ESANN 2016 - Bag-of-Steps: predicting lower-limb fracture rehabilitation length [Details]
L. Blondel
  • ESANN 1995 - Active noise control with dynamic recurrent neural networks [Details]
  • ESANN 1998 - Control of a subsonic electropneumatic acoustic generator with dynamic recurrent neural networks [Details]
Niels Bloom
  • ESANN 2013 - Using Wikipedia with associative networks for document classification [Details]
Peter Blouw
  • ESANN 2019 - Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions [Details]
Manuel Blum
  • ESANN 2013 - Optimization of Gaussian process hyperparameters using Rprop [Details]
  • ESANN 2017 - Predicting Time Series with Space-Time Convolutional and Recurrent Neural Networks [Details]
Yang Bo
  • ESANN 2006 - Optimal design of hierarchical wavelet networks for time-series forecasting [Details]