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
Dietmar Bauer
  • ESANN 2010 - Fast and good initialization of RBF networks [Details]
H.-U. Bauer
  • ESANN 1997 - Measuring topology preservation in maps of real-world data [Details]
Jill Baumann
  • ESANN 2023 - Wind Power Prediction with ETSformer [Details]
  • ESANN 2024 - Towards Explainable Evolution Strategies with Large Language Models [Details]
  • ESANN 2025 - Unlocking Structured Thinking in Language Models with Cognitive Prompting [Details]
Tristan Baumann
  • ESANN 2021 - Hierarchical Planning in Multilayered State-Action Networks [Details]
Alfred Bauny
  • ESANN 2024 - A Kalman Filter and Neural Network Hybrid Approach for Health Monitoring of Aircraft Engines [Details]
Bruno Bauwens
  • ESANN 2010 - Directional predictions for 4-class BCI data [Details]
Delphine Bay
  • ESANN 2021 - Convolutional Neural Network Architecture for Classification of Aircraft Engines Flight Time Series [Details]
P. Bayerl
  • ESANN 2003 - A neural model for heading detection from optic flow [Details]
  • ESANN 2003 - A view-based approach for object recognition from image sequences [Details]
A. Bazzani
  • ESANN 2000 - Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier [Details]
Gjalt Bearda
  • ESANN 2015 - Combining dissimilarity measures for prototype-based classification [Details]
W. Beaudot
  • ESANN 1993 - Motion processing in the retina: about a velocity matched filter [Details]
Pierre Beauseroy
  • ESANN 2009 - Gaussian Mixture Models for multiclass problems with performance constraints [Details]
  • ESANN 2014 - The one-sided mean kernel: a positive definite kernel for time series [Details]
  • ESANN 2015 - Online One-class Classification for Intrusion Detection Based on the Mahalanobis Distance [Details]
Jose Antonio Becerra
  • ESANN 2006 - Some experimental results with a two level memory management system in the multilevel darwinist brain [Details]
  • ESANN 2006 - construction of a memory management system in an on-line learning mechanism [Details]
J.A. Becerra
  • ESANN 2000 - Using higher order synapses and nodes to improve sensing capabilities of mobile robots [Details]
David Bechtoldt
  • ESANN 2026 - Graph Diffusion Counterfactual Explanation [Details]
Fabian Becker
  • ESANN 2015 - Learning Recurrent Dynamics using Differential Evolution [Details]
Julien Becker
  • ESANN 2011 - Iterative multi-task sequence labeling for predicting structural properties of proteins [Details]
Tomasz Bednarz
  • ESANN 2017 - A performance acceleration algorithm of spectral unmixing via subset selection [Details]
Mouhamed hédi Bedoui
  • ESANN 2021 - CAS-Net: A Novel Coronary Artery Segmentation Neural Network [Details]
  • ESANN 2023 - Retinal blood vessel segmentation from high resolution fundus image using deep learning architecture [Details]
G. Bedoya
  • ESANN 2003 - Comparison of neural algorithms for blind source separation in sensor array applications [Details]
Abul Hashem Beg
  • ESANN 2016 - Genetic Algorithm with Novel Crossover, Selection and Health Check for Clustering [Details]
Swarup Ranjan Behera
  • ESANN 2020 - Mining Temporal Changes in Strengths and Weaknesses of Cricket Players Using Tensor Decomposition [Details]
Baktash Behmanesh
  • ESANN 2026 - On the Importance of Time Constants in Spiking Neural Networks [Details]
Sven Behnke
  • ESANN 2021 - Fourier-based Video Prediction through Relational Object Motion [Details]
  • ESANN 2021 - Semantic Prediction: Which One Should Come First, Recognition or Prediction? [Details]
Sven Behnke
  • ESANN 2020 - 3D U-Net for Segmentation of Plant Root MRI Images in Super-Resolution [Details]
  • ESANN 2020 - Motion Segmentation using Frequency Domain Transformer Networks [Details]
  • ESANN 2020 - Object-centered Fourier Motion Estimation and Segment-Transformation Prediction [Details]
Sven Behnke
  • ESANN 2010 - Exploiting local structure in stacked Boltzmann machines [Details]
  • ESANN 2012 - Learning Object-Class Segmentation with Convolutional Neural Networks [Details]
  • ESANN 2015 - Depth and height aware semantic RGB-D perception with convolutional neural networks [Details]
  • ESANN 2016 - Multispectral Pedestrian Detection using Deep Fusion Convolutional Neural Networks [Details]
  • ESANN 2017 - Learning Semantic Prediction using Pretrained Deep Feedforward Networks [Details]
  • ESANN 2018 - Hierarchical Recurrent Filtering for Fully Convolutional DenseNets [Details]
  • ESANN 2019 - Complex Valued Gated Auto-encoder for Video Frame Prediction [Details]
  • ESANN 2019 - Frequency Domain Transformer Networks for Video Prediction [Details]
  • ESANN 2019 - Learning super-resolution 3D segmentation of plant root MRI images from few examples [Details]
S. Behnke
  • ESANN 2003 - Meter value recognition using locally connected hierarchical networks [Details]
Fatemeh Behrad
  • ESANN 2024 - Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks [Details]
Majid Beigi
  • ESANN 2007 - A novel kernel-based method for local pattern extraction in random process signals [Details]
V. Beiu
  • ESANN 1993 - Efficient decomposition of comparison and its applications [Details]
  • ESANN 1994 - VLSI complexity reduction by piece-wise approximation of the sigmoid function [Details]