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
Karima Benatchba
  • No papers found
Sidney Bender
  • ESANN 2026 - Graph Diffusion Counterfactual Explanation [Details]
Filippo Benedetti
  • ESANN 2015 - ESNigma: efficient feature selection for echo state networks [Details]
Samy Bengio
  • ESANN 2007 - A supervised learning approach based on STDP and polychronization in spiking neuron networks [Details]
Eric Benhamou
  • ESANN 2020 - Similarities between policy gradient methods in reinforcement and supervised learning [Details]
Eric Benhamou
  • ESANN 2020 - Estimating Individual Treatment Effects through Causal Populations Identification [Details]
Francesc Benimeli
  • ESANN 2007 - Electroencephalogram signal classification for brain computer interfaces using wavelets and support vector machines [Details]
Wittevrongel Benjamin
  • ESANN 2020 - Predicting low gamma- from lower frequency band activity in electrocorticography [Details]
Younès Bennani
  • ESANN 2011 - A Spectral Based Clustering Algorithm for Categorical Data with Maximum Modularity [Details]
Kristin Bennett
  • ESANN 2021 - Quantifying Resemblance of Synthetic Medical Time-Series [Details]
  • ESANN 2023 - Adversarial Auditing of Machine Learning Models under Compound Shift [Details]
  • ESANN 2025 - Encoding Matters: Impact of Categorical Variable Encoding on Performance and Bias [Details]
Kristin Bennett
  • ESANN 2018 - Analysis of imputation bias for feature selection with missing data [Details]
  • ESANN 2019 - Privacy Preserving Synthetic Health Data [Details]
N. Benoudjit
  • ESANN 2002 - Width optimization of the Gaussian kernels in Radial Basis Function Networks [Details]
Abdelaziz Benrshrair
  • ESANN 2007 - Kernel on Bag of Paths For Measuring Similarity of Shapes [Details]
Michael Bensch
  • ESANN 2005 - Feature selection for high-dimensional industrial data [Details]
  • ESANN 2006 - Artificial neural networks and machine learning for man-machine-interfaces - processing of nervous signals [Details]
Abdelaziz Bensrhair
  • ESANN 2020 - Random Signal Cut for Improving Multimodal CNN Robustness of 2D Road Object Detection [Details]
  • ESANN 2021 - Cross-modal verification for 3D object detection [Details]
  • ESANN 2021 - Object Detection on Thermal Images: Performance of YOLOv4 Trained on Small Datasets [Details]
  • ESANN 2025 - Coherence-based Sample Selection for Class-incremental Learning [Details]
Abdelaziz Bensrhair
  • ESANN 2017 - Fusion of Stereo Vision for Pedestrian Recognition using Convolutional Neural Networks [Details]
  • ESANN 2019 - Improving Pedestrian Recognition using Incremental Cross Modality Deep Learning [Details]
Peter J. Bentley
  • ESANN 2008 - An FPGA-based model suitable for evolution and development of spiking neural networks [Details]
Maxime Berar
  • ESANN 2011 - A supervised strategy for deep kernel machine [Details]
  • ESANN 2018 - Non-Negative Tensor Dictionary Learning [Details]
Maxime Berar
  • ESANN 2025 - 3-WL GNNs for Metric Learning on Graphs [Details]
Maroun Bercachi
  • No papers found
D. Berchier
  • ESANN 1993 - Minimerror: a perceptron learning rule that finds the optimal weights [Details]
Emílio Bergamim Júnior
  • ESANN 2024 - Generation of Simulated Dataset of Computed Tomography Images of Eggs and Extraction of Measurements Using Deep Learning [Details]
Luca Bergamin
  • No papers found
Luca Bergamin
  • ESANN 2022 - Bayes Point Rule Set Learning [Details]
L.M. Bergasa
  • ESANN 2000 - E.O.G. guidance of a weelchair using spiking neural networks [Details]
  • ESANN 2000 - Neurocontrol of a binary distillation column [Details]
Guillaume Berger
  • ESANN 2016 - Boosting face recognition via neural Super-Resolution [Details]
Kolja Berger
  • ESANN 2018 - Differential private relevance learning [Details]
Mathias Berglund
  • ESANN 2016 - Stochastic gradient estimate variance in contrastive divergence and persistent contrastive divergence [Details]
Lennart Berkel
  • ESANN 2024 - AI-based Collimation Optimization for X-Ray Imaging using Time-of-Flight Cameras [Details]
S. Bermejo
  • ESANN 1998 - A new dynamic LVQ-based classifier and its application to handwritten character recognition [Details]
  • ESANN 2003 - Comparison of neural algorithms for blind source separation in sensor array applications [Details]