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
Ignacio Barrio
  • ESANN 2006 - On the selection of hidden neurons with heuristic search strategies for approximation [Details]
S. Barro
  • ESANN 2000 - Learning of perceptual states in the design of an adaptive wall-following behavior [Details]
A.R. Barron
  • ESANN 2001 - Penalized least squares, model selection, convex hull classes and neural nets [Details]
Trevor Barron
  • ESANN 2016 - Visualizing stacked autoencoder language learning [Details]
Filipa S. Barros
  • ESANN 2024 - Leveraging Physics-Informed Neural Networks as Solar Wind Forecasting Models [Details]
Pablo Barros
  • ESANN 2020 - CNN Encoder to Reduce the Dimensionality of Data Image for Motion Planning [Details]
Pablo Barros
  • ESANN 2014 - FINGeR: Framework for interactive neural-based gesture recognition [Details]
  • ESANN 2015 - Dynamic gesture recognition using Echo State Networks [Details]
  • ESANN 2015 - Learning objects from RGB-D sensors using point cloud-based neural networks [Details]
  • ESANN 2016 - Gesture Recognition with a Convolutional Long Short-Term Memory Recurrent Neural Network [Details]
  • ESANN 2018 - A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition [Details]
De Moor Bart
  • ESANN 2007 - Convex optimization for the design of learning machines [Details]
Marius Bartcus
  • ESANN 2014 - Bayesian non-parametric parsimonious clustering [Details]
Erhardt Barth
  • ESANN 2008 - Learning Data Representations with Sparse Coding Neural Gas [Details]
Erhardt Barth
  • ESANN 2024 - AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight Cameras [Details]
  • ESANN 2025 - Investigating the Impact of Imbalanced Medical Data on the Performance of Self-Supervised Learning Approaches [Details]
Quentin Barthélemy
  • ESANN 2012 - From neuronal cost-based metrics towards sparse coded signals classification [Details]
Alan Barton
  • No papers found
Debjanee Barua
  • No papers found
Marek Barwiński
  • ESANN 2006 - A sequence-encoding neural network for face recognition [Details]
Patrick Bas
  • ESANN 2008 - A Methodology for Building Regression Models using Extreme Learning Machine: OP-ELM [Details]
  • ESANN 2010 - Ensemble Modeling with a Constrained Linear System of Leave-One-Out Outputs [Details]
Erhan Bas
  • ESANN 2010 - Principal curve tracing [Details]
Nicolas Baskiotis
  • ESANN 2016 - Learning Embeddings for Completion and Prediction of Relationnal Multivariate Time-Series [Details]
  • ESANN 2017 - Anomaly detection and characterization in smart card logs using NMF and Tweets [Details]
Ariel Basso Madjoukeng
  • ESANN 2025 - Benchmarking Data Augmentation for Contrastive Learning in Static Sign Language Recognition [Details]
  • ESANN 2026 - Movements as Images: CNNs are Good Feature Extractors in Sign Language Recognition [Details]
Saeed Bastani
  • ESANN 2026 - On the Importance of Time Constants in Spiking Neural Networks [Details]
Sebastian Basterrech
  • ESANN 2024 - Exploring Self-Organizing Maps for Addressing Semantic Impairments [Details]
Sebastián Basterrech
  • ESANN 2018 - Estimation of the Human Concentration using Echo State Networks [Details]
  • ESANN 2018 - Quantifying the Reservoir Quality using Dimensionality Reduction Techniques [Details]
Saikat Basu
  • ESANN 2015 - Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets [Details]
John Batchelor
  • ESANN 2012 - Highly efficient localisation utilising weightless neural systems [Details]
Pawel Batorski
  • ESANN 2026 - NSA: Neuro-symbolic ARC Challenge [Details]
Kim Batselier
  • ESANN 2012 - Joint Regression and Linear Combination of Time Series for Optimal Prediction [Details]
  • ESANN 2012 - Weighted/Structured Total Least Squares problems and polynomial system solving [Details]
  • ESANN 2012 - maximum likelihood estimation and polynomial system solving [Details]
Sebastiano Battiato
  • ESANN 2024 - Federated Learning in a Semi-Supervised Environment for Earth Observation Data [Details]
M. Battipede
  • ESANN 2000 - A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model [Details]
  • ESANN 2003 - Post-failure analysis of an adaptive predictor-corrector neural controller on a flight simulator [Details]
Christian Bauckhage
  • ESANN 2021 - Toxicity Detection in Online Comments with Limited Data: A Comparative Analysis [Details]
  • ESANN 2026 - Four Quadrants of Difficulty: A Categorisation for Curriculum Learning in NLP [Details]
  • No papers found