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
Ben Van Calster
  • ESANN 2008 - Multi-class classification of ovarian tumors [Details]
Jan Van Campenhout
  • ESANN 2006 - Linking non-binned spike train kernels to several existing spike train metrics [Details]
  • ESANN 2006 - Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic [Details]
  • ESANN 2007 - An overview of reservoir computing: theory, applications and implementations [Details]
  • ESANN 2008 - Pruning and Regularisation in Reservoir Computing: a First Insight [Details]
H.J.L. van Can
  • ESANN 1996 - Regulated Activation Weights Neural Network (RAWN) [Details]
Sofie Van Cauter
  • ESANN 2017 - Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features [Details]
A.R. Van Cauwenberghe
  • ESANN 1995 - Neural network based one-step ahead control and its stability [Details]
Jaap van de Loosdrecht
  • ESANN 2013 - Prior knowledge in an end-user trainable machine vision framework [Details]
  • ESANN 2017 - Hyper-spectral frequency selection for the classification of vegetation diseases [Details]
Yves Van de Peer
  • No papers found
Joost van de Weijer
  • ESANN 2025 - Replay-free Online Continual Learning with Self-Supervised MultiPatches [Details]
J. van den Berg
  • ESANN 1999 - Information retrieval systems using an associative conceptual space [Details]
Elina van den Brandhof
  • ESANN 2025 - Interpretable machine learning for the diagnosis of hyperkinetic movement disorders [Details]
  • ESANN 2025 - Mitigating the Bias in Data for Fairness Using an Advanced Generalized Learning Vector Quantization Approach -- FA(IR)$^2$MA-GLVQ [Details]
C. Van den Broeck
  • ESANN 1998 - A supervised radial basis function neural network [Details]
Kiki van der Heijden
  • ESANN 2020 - Modelling human sound localization with deep neural networks. [Details]
R. van der Merwe
  • ESANN 2001 - Efficient derivative-free Kalman filters for online learning [Details]
E.C. van der Meulen
  • ESANN 1994 - Analysis of critical effects in a stochastic neural model [Details]
Michiel van der Ree
  • ESANN 2017 - Support vector components analysis [Details]
A.M. Madelein van der Stouwe
  • ESANN 2025 - Interpretable machine learning for the diagnosis of hyperkinetic movement disorders [Details]
A. van der Vaart
  • ESANN 2003 - Finding clusters using support vector classifiers [Details]
F. van der Velde
  • ESANN 2003 - Neural assembly binding in linguistic representation [Details]
Wim van Drongelen
  • ESANN 2009 - Oscillation in a network model of neocortex [Details]
Marc Van Droogenbroeck
  • ESANN 2014 - Data normalization and supervised learning to assess the condition of patients with multiple sclerosis based on gait analysis [Details]
  • ESANN 2014 - Machine learning techniques to assess the performance of a gait analysis system [Details]
Bob Van Dyck
  • ESANN 2020 - Predicting low gamma- from lower frequency band activity in electrocorticography [Details]
Michiel Van Dyck
  • ESANN 2011 - Principal component analysis for unsupervised calibration of bio-inspired airflow array sensors [Details]
Marcel van Gerven
  • ESANN 2009 - Exploring the impact of alternative feature representations on BCI classification [Details]
T. Van Gestel
  • ESANN 2001 - Automatic relevance determination for Least Squares Support Vector Machines classifiers [Details]
Hugo Van hamme
  • ESANN 2020 - On the long-term learning ability of LSTM LMs [Details]
Mark van Heeswijk
  • ESANN 2010 - Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs [Details]
Sabine Van Huffel
  • No papers found
Sabine Van Huffel
  • ESANN 2022 - A Kernel Based Multilinear SVD Approach for Multiple Sclerosis Profiles Classification [Details]
Sabine Van Huffel
  • ESANN 2008 - Multi-class classification of ovarian tumors [Details]
  • ESANN 2008 - Survival SVM: a practical scalable algorithm [Details]
  • ESANN 2010 - On the use of a clinical kernel in survival analysis [Details]
  • ESANN 2012 - Interval coded scoring systems for survival analysis [Details]
  • ESANN 2016 - Initializing nonnegative matrix factorization using the successive projection algorithm for multi-parametric medical image segmentation [Details]
  • ESANN 2017 - Comparison of manual and semi-manual delineations for classifying glioblastoma multiforme patients based on histogram and texture MRI features [Details]
S. Van Huffel
  • ESANN 2002 - Prediction of mental development of preterm newborns at birth time using LS-SVM [Details]
  • ESANN 2002 - The use of LS-SVM in the classification of brain tumors based on Magnetic Resonance Spectroscopy signals [Details]