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
Alexei Vinokourov
  • ESANN 2005 - A probabilistic framework for mismatch and profile string kernels [Details]
Ricardo Vinuesa
  • ESANN 2026 - Information-Theoretic Unsupervised Feature Selection for High-Dimensional Spatial Data [Details]
Giulio Visco
  • ESANN 2012 - Constructive Reservoir Computation with Output Feedbacks for Structured Domains [Details]
Andrea Visentin
  • ESANN 2024 - SAT Instances Generation Using Graph Variational Autoencoders [Details]
S.V.N. Vishwanathan
  • ESANN 2005 - Joint Regularization [Details]
Abhijeet Vishwasrao
  • ESANN 2026 - Information-Theoretic Unsupervised Feature Selection for High-Dimensional Spatial Data [Details]
Roel Visser
  • No papers found
Roel Visser
  • ESANN 2022 - Model Agnostic Local Explanations of Reject [Details]
  • ESANN 2025 - Explaining Outliers using Isolation Forest and Shapley Interactions [Details]
P.M.B. Vitanyi
  • ESANN 1994 - Model selection for neural networks: comparing MDL and NIC [Details]
Julien Vitay
  • ESANN 2004 - Reducing connectivity by using cortical modular bands [Details]
R. Viviani
  • ESANN 2003 - Developmental pruning of synapses and category learning [Details]
Julio Vizoso
  • ESANN 2008 - Multilayer perceptron to model the decarburization process in stainless steel production [Details]
Ioannis Vlahavas
  • ESANN 2019 - Multi-target feature selection through output space clustering [Details]
Jonas Vlasselaer
  • ESANN 2018 - Feature noise tuning for resource efficient Bayesian Network Classifiers [Details]
N. Vlassis
  • ESANN 2002 - Fast nonlinear dimensionality reduction with topology preserving networks [Details]
  • ESANN 2003 - Self-Organization by Optimizing Free-Energy [Details]
Tan Vo
  • ESANN 2014 - Tensor decomposition of dense SIFT descriptors in object recognition [Details]
T. Voegtlin
  • ESANN 2000 - Learning principal components in a contextual space [Details]
Robin Vogel
  • ESANN 2020 - Weighted Emprirical Risk Minimization: Transfer Learning based on Importance Sampling [Details]
Frederik Vogeler
  • No papers found
Frederik Vogeler
  • ESANN 2022 - Machine learning for automated quality control in injection moulding manufacturing [Details]
Matthias Vogelsang
  • ESANN 2019 - Dynamic fairness - Breaking vicious cycles in automatic decision making [Details]
M. Vogt
  • ESANN 2003 - On the equality of kernel AdaTron and sequential minimal optimization in classification and regression tasks and alike algorithms for kernel machines [Details]
Raunaq Vohra
  • No papers found
Julius Voigt
  • ESANN 2026 - Enforcing Feature Sparseness for Reliable Classification by Prototype-Based Models [Details]
Thomas Voigt
  • ESANN 2004 - Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony [Details]
  • ESANN 2005 - Spike-timing-dependent plasticity in 'small world' networks [Details]
  • ESANN 2006 - Connection strategies in neocortical networks [Details]
  • ESANN 2008 - Simulation of a recurrent neurointerface with sparse electrical connections [Details]
Julius Voigt
  • No papers found
Julius Voigt
  • ESANN 2022 - Efficient classification learning of biochemical structured data by means of relevance weighting for sensoric response features [Details]
Michele Volpi
  • ESANN 2013 - Multi-view feature extraction for hyperspectral image classification [Details]
Anja von Beuningen
  • ESANN 2020 - Handling missing data in recurrent neural networks for air quality forecasting [Details]
  • ESANN 2026 - TSFM in-context learning for time-series classification of bearing-health status [Details]
Lueder von Bremen
  • ESANN 2015 - Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction [Details]