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
Konstantinos Sirlantzis
  • ESANN 2009 - Novel Modular Weightless Neural Architectures for Biometrics-based Recognition [Details]
  • ESANN 2010 - A novel interactive biometric passport photograph alignment system [Details]
Miki Sirola
  • ESANN 2008 - Feature selection on process fault detection and visualization [Details]
  • ESANN 2009 - SOM based methods in early fault detection of nuclear industry [Details]
A.M. Sirota
  • ESANN 1999 - Nonlinear factorization in sparsely encoded Hopfield-like neural networks [Details]
Konsta Sirvio
  • ESANN 2014 - Multi-Step Ahead Forecasting of Road Condition Using Least Squares Support Vector Regression [Details]
Antonio Sisbarra
  • ESANN 2020 - Simplifying Deep Reservoir Architectures [Details]
Esko Sistonen
  • ESANN 2015 - Prediction of concrete carbonation depth using decision trees [Details]
Joaquin Sitte
  • ESANN 2006 - Robust Local Cluster Neural Networks [Details]
L. Siwei
  • ESANN 2003 - Approximation of Function by Adaptively Growing Radial Basis Function Neural Networks [Details]
Jonas Sjoberg
  • ESANN 2010 - Fast and good initialization of RBF networks [Details]
Mel Slater
  • ESANN 2009 - Brain Computer Interface for Virtual Reality Control [Details]
Aidan Slingsby
  • ESANN 2016 - Enhancing a social science model-building workflow with interactive visualisation [Details]
Johannes Slotboom
  • ESANN 2016 - A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases [Details]
J.-J. Slotine
  • ESANN 1998 - Wavelet interpolation networks [Details]
Philippe Smagghe
  • ESANN 2013 - Novelty detection in image recognition using IRF Neural Networks properties [Details]
Fabrizio Smeraldi
  • ESANN 2017 - POKer: a Partial Order Kernel for Comparing Strings with Alternative Substrings [Details]
Ivan Smetannikov
  • ESANN 2015 - PCA-based algorithm for feature score measures ensemble construction [Details]
Marek Śmieja
  • ESANN 2020 - Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models [Details]
Henk-Jan H. Smilde
  • ESANN 2020 - A preconditioned accelerated stochastic gradient descent algorithm [Details]
David Smith
  • ESANN 2012 - Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors [Details]
J. Smith
  • ESANN 2001 - An alternative approach for the evaluation of the neocognitron [Details]
L.S. Smith
  • ESANN 1993 - The filtered associative network [Details]
  • ESANN 2002 - Stochastic resonance and finite resolution in a leaky integrate-and-fire neuron [Details]
P. Smith
  • ESANN 2002 - Why will rat's go where rats will not? [Details]
Leslie Smith
  • ESANN 2013 - Mixed order associative networks for function approximation, optimisation and sampling [Details]
Alex Smola
  • ESANN 2005 - Joint Regularization [Details]
  • ESANN 2005 - Kernel methods and the exponential family [Details]
Paul Smyth
  • ESANN 2020 - An agile machine learning project in pharma - developing a Mask R-CNN-based web application for bacterial colony counting [Details]
  • ESANN 2020 - Deep Learning to Detect Bacterial Colonies for the Production of Vaccines [Details]
  • ESANN 2020 - Machine learning in the biopharma industry [Details]
Paul Smyth
  • ESANN 2019 - Machine learning in research and development of new vaccines products: opportunities and challenges [Details]
Monique Snoeck
  • ESANN 2018 - Structuring and Solving Multi-Criteria Decision Making Problems using Artificial Neural Networks: a smartphone recommendation case [Details]
Pavel Snopov
  • ESANN 2025 - Topology-Aware Activation Functions in Neural Networks [Details]
Hichem Snoussi
  • ESANN 2014 - The one-sided mean kernel: a positive definite kernel for time series [Details]
José Augusto Soares Prado
  • ESANN 2009 - Multiclass brain computer interface based on visual attention [Details]