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
Rinu Boney
  • ESANN 2019 - Active one-shot learning with Prototypical Networks [Details]
Rinu Boney
  • No papers found
Rinu Boney
  • ESANN 2022 - Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning [Details]
Louise Bonfils
  • ESANN 2021 - Dynamic clustering and modeling of temporal data subject to common regressive effects [Details]
M. Bongard
  • ESANN 2001 - Extracting motion information using a biologically realistic model retina [Details]
Pietro Bongini
  • ESANN 2020 - Graph Neural Networks for the Prediction of Protein-Protein Interfaces [Details]
A. Boni
  • ESANN 2001 - Intelligent hardware for identification and control of non-linear systems with SVM [Details]
Yann Boniface
  • ESANN 2016 - Neural fitted actor-critic [Details]
Olivier Bonin
  • ESANN 2013 - Hierarchical and multiscale Mean Shift segmentation of population grids [Details]
Piero Bonissone
  • ESANN 2005 - unsupervised fuzzy ensembles and their use in intrusion detection [Details]
D. Bonnet
  • ESANN 1997 - d-NARMA neural networks: a connectionist extension of ARARMA models [Details]
Stephane Bonnet
  • ESANN 2012 - BCI Signal Classification using a Riemannian-based kernel [Details]
Loïc Bonnetain
  • ESANN 2021 - A Lightweight Approach for Origin-Destination Matrix Anonymization [Details]
Gianluca Bontempi
  • ESANN 2026 - Identifying counterfactual probabilities using bivariate distributions and uplift modeling [Details]
G. Bontempi
  • ESANN 1998 - Lazy learning for control design [Details]
  • ESANN 2000 - A multi-steap ahead prediction method based on local dynamic properties [Details]
Gianluca Bontempi
  • ESANN 2005 - Structural feature selection for wrapper methods [Details]
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]
Akash Borigi
  • ESANN 2026 - The Alignment Gate: Intent and Instruction Guardrails for Agentic AI [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]
  • ESANN 2026 - On the Components That Enable Robust Generalization in HAR Models [Details]