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
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]
David Smith
  • ESANN 2012 - Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors [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]
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]
Renato Socodato
  • ESANN 2016 - Stacked denoising autoencoders for the automatic recognition of microglial cells’ state [Details]
G. Soda
  • ESANN 1999 - A topological transformation for hidden recursive modelsarchitecture networks [Details]
Boussa Sofiane
  • ESANN 2005 - Experimental validation of a synapse model by adding synaptic conductances to excitable endocrine cells in culture [Details]
Anders Søgaard
  • ESANN 2017 - Spikes as regularizers [Details]
Andrei Soklakov
  • ESANN 2005 - A probabilistic framework for mismatch and profile string kernels [Details]
Fabio Solari
  • ESANN 2009 - A neural model for binocular vergence control without explicit calculation of disparity [Details]
Amparo Soldevila
  • ESANN 2010 - Neural models for the analysis of kidney disease patients [Details]
J. Sole i Casals
  • ESANN 2000 - Parametric approach to blind deconvolution of nonlinear channels [Details]
Behrouz Haji Soleimani
  • ESANN 2017 - Partition-wise Recurrent Neural Networks for Point-based AIS Trajectory Classification [Details]
Andres Soler
  • ESANN 2024 - EEG Source Imaging Enhances Motor Imagery Classification [Details]
S. A. Solla
  • ESANN 1997 - Bayesian online learning in the perceptron [Details]
Rudolf Sollacher
  • ESANN 2007 - Spiral Recurrent Neural Network for Online Learning [Details]
  • ESANN 2008 - Conditional prediction of time series using spiral recurrent neural network [Details]
P. Sollich
  • ESANN 1995 - Minimum entropy queries for linear students learning nonlinear rules [Details]
D.P. Solomatine
  • ESANN 2003 - Neural Networks and M5 model trees in modeling water level-discharge relationship for an Indian river [Details]
S. Soltani
  • ESANN 2000 - On the use of the wavelet decomposition for time series prediction [Details]
Hamid Soltanian-Zadeh
  • ESANN 2009 - Sparse differential connectivity graph of scalp EEG for epileptic patients [Details]
G. Sommer
  • ESANN 1996 - Praticing Q-learning [Details]
  • ESANN 2000 - Quaternionic spinor MLP [Details]
  • ESANN 2003 - The hypersphere neuron [Details]
Gerald Sommer
  • ESANN 2005 - Efficient reinforcement learning through Evolutionary Acquisition of Neural Topologies [Details]
Yang Song
  • ESANN 2014 - Neural network based 2D/3D fusion for robotic object recognition [Details]
Qing Song
  • ESANN 2005 - Adaptive Simultaneous Perturbation Based Pruning Algorithm for Neural Control Systems [Details]
Laurent Sorber
  • ESANN 2020 - An agile machine learning project in pharma - developing a Mask R-CNN-based web application for bacterial colony counting [Details]
August Sørensen
  • ESANN 2019 - Detecting Ghostwriters in High Schools [Details]