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
Paul Boon
  • ESANN 2020 - Predicting low gamma- from lower frequency band activity in electrocorticography [Details]
Jakramate Bootkrajang
  • ESANN 2011 - Multi-class classification in the presence of labelling errors [Details]
  • ESANN 2015 - A generalised label noise model for classification [Details]
L. Boquete
  • ESANN 1998 - A neural network for the identification of the dynamic behaviour of a wheelchair [Details]
  • ESANN 2000 - E.O.G. guidance of a weelchair using spiking neural networks [Details]
  • ESANN 2000 - Neurocontrol of a binary distillation column [Details]
Giorgos Borboudakis
  • ESANN 2011 - A constraint-based approach to incorporate prior knowledge in causal models [Details]
Pierre Borckmans
  • ESANN 2010 - Oriented Bounding Box Computation Using Particle Swarm Optimization [Details]
Behzad Bordbar
  • ESANN 2012 - Process Mining in Non-Stationary Environments [Details]
M. Borga
  • ESANN 2001 - Canonical correlation analysis in early vision processing [Details]
Alimohamad Borghei
  • No papers found
Marcelo Borghetti Soares
  • ESANN 2015 - Learning objects from RGB-D sensors using point cloud-based neural networks [Details]
Pierre Borgnat
  • ESANN 2017 - Processing, mining and visualizing massive urban data [Details]
  • ESANN 2017 - Using degree constrained gravity null-models to understand the structure of journeys' networks in bicycle sharing systems [Details]
Karsten M. Borgwardt
  • ESANN 2005 - Joint Regularization [Details]
Nicolas Boria
  • ESANN 2020 - Fréchet Mean Computation in Graph Space through Projected Block Gradient Descent [Details]
Edson Borin
  • ESANN 2023 - Efficient Knowledge Aggregation Methods for Weightless Neural Networks [Details]
  • ESANN 2025 - On Domain Generalization for Human Activity Recognition with Mix-Based Methods [Details]
Irina Borisova
  • ESANN 2006 - Selection of more than one gene at a time for cancer prediction from gene expression data [Details]
ali borji
  • No papers found
C. Born
  • ESANN 1996 - Analysis of visual information by receptive field dynamics [Details]
Sougato Bose
  • ESANN 2016 - Supervised quantum gate "teaching" for quantum hardware design [Details]
Tulika Bose
  • ESANN 2019 - Fusing Features based on Signal Properties and TimeNet for Time Series Classification [Details]
Mark-Sebastian Bösherz
  • ESANN 2024 - Tumor Grading via Decorrelated Sparse Survival Regression [Details]
Tanguy Bosser
  • ESANN 2023 - Revisiting the Mark Conditional Independence Assumption in Neural Marked Temporal Point Processes [Details]
Emanuele Bottino
  • ESANN 2004 - Integrated low noise signal conditioning interface for neuroengineering applications [Details]
Tassadit Bouadi
  • ESANN 2024 - Trust in Artificial Intelligence: Beyond Interpretability [Details]
Fatma Bouali
  • ESANN 2016 - Incremental hierarchical indexing and visualisation of large image collections [Details]
abderrahmane boubezoul
  • ESANN 2021 - Deep Neural Networks for Classification of Riding Patterns: with a focus on explainability [Details]
Abderrahmane Boubezoul
  • ESANN 2015 - Powered-Two-Wheeler safety critical events recognition using a mixture model with quadratic logistic functions [Details]
Abdelhamid Bouchachia
  • ESANN 2019 - Online Bayesian Shrinkage Regression [Details]
Hamid Bouchachia
  • ESANN 2014 - DELA: A Dynamic Online Ensemble Learning Algorithm [Details]
Djamel BOUCHAFFRA
  • ESANN 2024 - Lightweight Cross-Modal Representation Learning [Details]
Djamel Bouchaffra
  • No papers found
Christophe Boucher
  • ESANN 2009 - A robust hybrid DHMM-MLP modelling of financial crises measured by the WhIMS [Details]
  • ESANN 2009 - A wavelet-heterogeneous index of market shocks for assessing the magnitude of financial crises [Details]