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
J.A. Becerra
  • ESANN 2000 - Using higher order synapses and nodes to improve sensing capabilities of mobile robots [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]
Julien Becker
  • ESANN 2011 - Iterative multi-task sequence labeling for predicting structural properties of proteins [Details]
Fabian Becker
  • ESANN 2015 - Learning Recurrent Dynamics using Differential Evolution [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]
S. Behnke
  • ESANN 2003 - Meter value recognition using locally connected hierarchical networks [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]
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]
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]
Celine Beji
  • ESANN 2020 - Estimating Individual Treatment Effects through Causal Populations Identification [Details]
Yacine Bel-Hadj
  • No papers found
Yacine Bel-Hadj
  • ESANN 2022 - Anomaly detection and representation learning in an instrumented railway bridge [Details]
Lluís Belanche
  • ESANN 2006 - On the selection of hidden neurons with heuristic search strategies for approximation [Details]
  • ESANN 2012 - Averaging of kernel functions [Details]
  • ESANN 2012 - Similarity networks for heterogeneous data [Details]
  • ESANN 2013 - Developments in kernel design [Details]
  • ESANN 2013 - Handling missing values in kernel methods with application to microbiology data [Details]
  • ESANN 2017 - Bridging deep and kernel methods [Details]
Lluís A. Belanche
  • ESANN 2016 - Bayesian semi non-negative matrix factorisation [Details]
  • ESANN 2016 - Instance and feature weighted k-nearest-neighbors algorithm [Details]
Luis Antonio Belanche Muñoz
  • ESANN 2008 - Feature Selection in Proton Magnetic Resonance Spectroscopy for Brain Tumor Classification [Details]
Ammar Belatreche
  • ESANN 2014 - A new biologically plausible supervised learning method for spiking neurons [Details]
Soufiane Belharbi
  • ESANN 2016 - Deep multi-task learning with evolving weights [Details]
D. Bell
  • ESANN 1996 - Accomodating relevance in neural networks [Details]
Fazia Bellal
  • ESANN 2008 - SOM based clustering with instance-level constraints [Details]
F. Bellas
  • ESANN 2000 - Using higher order synapses and nodes to improve sensing capabilities of mobile robots [Details]
Francisco Bellas
  • 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]
Anastasios Bellas
  • ESANN 2012 - Robust clustering of high-dimensional data [Details]
E. Bellei
  • ESANN 2001 - Applications of neuro-fuzzy classification, evaluation and forecasting techniques in agriculture [Details]
  • ESANN 2002 - Neuro-fuzzy methodologies for the clustering and the reliability estimation of olive fruit fly infestation [Details]