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
Michael Vaccaro
  • ESANN 2021 - Judging competitions and benchmarks: a candidate election approach [Details]
Guido Vagliasindi
  • ESANN 2008 - An automatic identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees [Details]
Umberto Vagliasindi
  • ESANN 2008 - An automatic identifier of Confinement Regimes at JET combining Fuzzy Logic and Classification Trees [Details]
Mehrnoosh Vahdat
  • ESANN 2015 - Advances in learning analytics and educational data mining [Details]
  • ESANN 2015 - Human Algorithmic Stability and Human Rademacher Complexity [Details]
Matias Valdenegro-Toro
  • ESANN 2017 - Real-time convolutional networks for sonar image classification in low-power embedded systems [Details]
  • ESANN 2019 - Real-time Convolutional Neural Networks for emotion and gender classification [Details]
Matias Valdenegro-Toro
  • ESANN 2024 - Evaluating the Quality of Saliency Maps for Distilled Convolutional Neural Networks [Details]
Julio Valdes
  • No papers found
Nuria Valdes-Gallego
  • No papers found
Nuria Valdes-Gallego
  • ESANN 2022 - Interactive dual projections for gene expression analysis [Details]
  • ESANN 2022 - Interactive visual analytics for medical data: application to COVID-19 clinical information during the first wave [Details]
  • ESANN 2024 - Analysis of DNA methylation patterns in cancer samples using SOM [Details]
M.A. Valdez-Munoz
  • ESANN 1999 - Encoding of sequential translators in discrete-time recurrent neural nets [Details]
M. Valente
  • ESANN 1998 - Neural networks for financial forecast [Details]
Davide Valenti
  • ESANN 2008 - Noise influence on correlated activities in a modular neuronal network: from synapses to functional connectivity [Details]
Andrea Valenti
  • ESANN 2021 - Calliope - A Polyphonic Music Transformer [Details]
  • ESANN 2022 - Modular Representations for Weak Disentanglement [Details]
Lil Valentin
  • ESANN 2008 - Multi-class classification of ovarian tumors [Details]
O. Valenzuela
  • ESANN 1998 - What are the main factors involved in the design of a Radial Basis Function Network? [Details]
Olga Valenzuela
  • ESANN 2004 - MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality [Details]
  • ESANN 2005 - Automatic classification of prostate cancer using pseudo-gaussian radial basis function neural network [Details]
Mauro Vallati
  • ESANN 2021 - In-Station Train Movements Prediction: from Shallow to Deep Multi Scale Models [Details]
Maurizio Valle
  • ESANN 2004 - Integrated low noise signal conditioning interface for neuroengineering applications [Details]
M.G. Valle
  • ESANN 1994 - A general model for higher order neurons [Details]
M. Valle
  • ESANN 2001 - Perspectives on dedicated hardware implementations [Details]
  • ESANN 2001 - Weight perturbation learning algorithm with local learning rate adaptation for the classification of remote-sensing images [Details]
  • ESANN 2002 - Evaluation of gradient descent learning algorithms with adaptive and local learning rate for recognising hand-written numerals [Details]
  • No papers found
Germano Vallesi
  • ESANN 2010 - Modeling contextualized textual knowledge as a Long-Term Working Memory [Details]
Aida Valls
  • ESANN 2016 - Assessment of diabetic retinopathy risk with random forests [Details]
Petko Valtchev
  • ESANN 2017 - The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study [Details]
  • ESANN 2018 - Impact of Biases in Big Data [Details]
Quinten Van Baelen
  • No papers found
Quinten Van Baelen
  • ESANN 2022 - Constraint Guided Gradient Descent: Guided Training with Inequality Constraints [Details]
  • ESANN 2024 - Constraints as Alternative Learning Objective in Deep Learning [Details]
Vanya Van Belle
  • 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 2013 - Research directions in interpretable machine learning models [Details]
Patrick VAN BOGAERT
  • No papers found
Patrick VAN BOGAERT
  • ESANN 2022 - 1D vs 2D convolutional neural networks for scalp high frequency oscillations identification [Details]
Hendrik Van Brussel
  • ESANN 2007 - A first attempt of reservoir pruning for classification problems [Details]
  • ESANN 2008 - Pruning and Regularisation in Reservoir Computing: a First Insight [Details]
  • ESANN 2009 - Augmenting Information from Brain-Computer Interfaces through Bayesian Plan Recognition [Details]
  • ESANN 2009 - Non-markovian process modelling with Echo State Networks [Details]