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
Marc Van Hulle
  • ESANN 2007 - Causality analysis of LFPs in micro-electrode arrays based on mutual information [Details]
Marc Van Hulle
  • ESANN 2020 - Predicting low gamma- from lower frequency band activity in electrocorticography [Details]
Twan van Laarhoven
  • ESANN 2020 - Softmax Recurrent Unit: A new type of RNN cell [Details]
Twan van Laarhoven
  • ESANN 2013 - Network community detection with edge classifiers trained on LFR graphs [Details]
A. van Ooyen
  • ESANN 1995 - Activity-dependent neurite outgrowth in a simple network model including excitation and inhibition [Details]
C. van Oss
  • ESANN 1995 - Activity-dependent neurite outgrowth in a simple network model including excitation and inhibition [Details]
Clémentine Van Parijs
  • ESANN 2014 - Improving accuracy by reducing the importance of hubs in nearest-neighbor recommendations [Details]
Robbe Van Rompaey
  • ESANN 2020 - On the long-term learning ability of LSTM LMs [Details]
B. Van Rompaey
  • ESANN 1997 - Precursor networks for training the binary perceptron [Details]
Dirk Van Roost
  • ESANN 2020 - Predicting low gamma- from lower frequency band activity in electrocorticography [Details]
Jan Van Santen
  • ESANN 2010 - Identifying informative features for ERP speller systems based on RSVP paradigm [Details]
G. van Straten
  • ESANN 1996 - Regulated Activation Weights Neural Network (RAWN) [Details]
Rick van Veen
  • ESANN 2017 - Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders [Details]
M. C. van Wezel
  • ESANN 1997 - Two neural network methods for multidimensional scaling [Details]
Paolo Vanacore
  • ESANN 2023 - Improving the DRASiW performance by exploiting its own "Mental Images" [Details]
  • ESANN 2024 - ''Mental Images'' driven classification [Details]
  • ESANN 2025 - Hierarchical decomposition through "Mental Images" evaluation [Details]
Thomas Vanaret
  • No papers found
Thomas Vanaret
  • ESANN 2022 - Anomaly detections on the oil system of a turbofan engine by a neural autoencoder [Details]
Ann Carine Vandaele
  • ESANN 2024 - Extrapolating Venusian Atmospheric Profiles using MAGMA Gaussian Processes [Details]
Virginie Vandenbulcke
  • No papers found
Virginie Vandenbulcke
  • ESANN 2022 - Semi-synthetic Data for Automatic Drone Shadow Detection [Details]
Tom Vander Aa
  • ESANN 2018 - Cache-efficient Gradient Descent Algorithm [Details]
Dieter Vanderest
  • ESANN 2012 - EMFit based Ultrasonic Phased Arrays with evolved Weights for Biomimetic Target Localization [Details]
Bastien Vanderplaetse
  • ESANN 2024 - Influence of image encoders and image features transformations in emergent communication [Details]
Simon Vandevelde
  • ESANN 2025 - Enhancing Computer Vision with Knowledge: a Rummikub Case Study [Details]
J. Vandewalle
  • ESANN 1993 - Efficient decomposition of comparison and its applications [Details]
  • ESANN 1993 - Locally implementable learning with isospectral matrix flows [Details]
  • ESANN 1994 - VLSI complexity reduction by piece-wise approximation of the sigmoid function [Details]
  • ESANN 1995 - Adaptive signal processing with unidirectional Hebbian adaptation laws [Details]
  • ESANN 1995 - NLq theory: unifications in the theory of neural networks, systems and control [Details]
  • ESANN 1996 - Prediction of dynamical systems with composition networks [Details]
  • ESANN 1997 - Composition methods for the integration of dynamical neural networks [Details]
  • ESANN 1998 - Improved generalization ability of neurocontrollers by imposing NLq stability constraints [Details]
  • ESANN 1998 - To stop learning using the evidence [Details]
  • ESANN 1998 - Ultrasound medical image processing using cellular neural networks [Details]
  • ESANN 1999 - A hybrid system for fraud detection in mobile communications [Details]
  • ESANN 2000 - Sparse least squares Support Vector Machine classifiers [Details]
  • ESANN 2000 - The K.U.Leuven competition data: a challenge for advanced neural network techniques [Details]
  • ESANN 2001 - Automatic relevance determination for Least Squares Support Vector Machines classifiers [Details]
  • ESANN 2003 - Kernel PLS variants for regression [Details]
Joos Vandewalle
  • ESANN 2012 - Joint Regression and Linear Combination of Time Series for Optimal Prediction [Details]
Alyssa Vanginderdeuren
  • ESANN 2021 - Estimating uncertainty in radiation oncology dose prediction with dropout and bootstrap in U-Net models [Details]
L. Vanhamme
  • ESANN 2002 - The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals [Details]
Peter Vanìk
  • ESANN 2014 - Self-organizing map for determination of goal candidates in mobile robot exploration [Details]
Giuseppe Vannozzi
  • ESANN 2021 - Deep Echo State Networks for Functional Ambulation Categories Estimation [Details]