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
Georgina Stegmayer
  • ESANN 2005 - A Neural Network that helps building a Nonlinear Dynamical model of a Power Amplifier [Details]
Jochen Steil
  • ESANN 2006 - Adaptive scene-dependent filters in online learning environments [Details]
  • ESANN 2006 - Recent trends in online learning for cognitive robots [Details]
  • ESANN 2006 - Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD [Details]
  • ESANN 2010 - Efficient online learning of a non-negative sparse autoencoder [Details]
  • ESANN 2010 - Figure-ground Segmentation using Metrics Adaptation in Level Set Methods [Details]
  • ESANN 2010 - Neural competition for motion segmentation [Details]
  • ESANN 2013 - Neurally imprinted stable vector fields [Details]
  • ESANN 2015 - A flat neural network architecture to represent movement primitives with integrated sequencing [Details]
  • ESANN 2016 - Modelling of parameterized processes via regression in the model space [Details]
Jochen J. Steil
  • ESANN 2004 - Neural dynamics for task-oriented grouping of communicating agents [Details]
J. J. Steil
  • ESANN 2003 - On the weight dynamics of recurrent learning [Details]
J.J. Steil
  • ESANN 2000 - Local input-output stability of recurrent networks with time-varying weights [Details]
  • ESANN 2002 - Perspectives on learning with recurrent neural networks [Details]
Jochen Jakob Steil
  • ESANN 2007 - Intrinsic plasticity for reservoir learning algorithms [Details]
  • ESANN 2007 - Several ways to solve the MSO problem [Details]
Jochen J. Steil
  • ESANN 2021 - Constraint optimization for Echo State Networks applied to satellite image forecasting [Details]
  • ESANN 2022 - Hyperspectral Wavelength Analysis with U-Net for Larynx Cancer Detection [Details]
Jochen J. Steil
  • ESANN 2004 - Input Space Bifurcation Manifolds of RNNs [Details]
  • ESANN 2005 - Stability of backpropagation-decorrelation efficient O(N) recurrent learning [Details]
  • ESANN 2008 - Robust object segmentation by adaptive metrics in Generalized LVQ [Details]
  • ESANN 2009 - Attractor-based computation with reservoirs for online learning of inverse kinematics [Details]
  • ESANN 2009 - Recent advances in efficient learning of recurrent networks [Details]
  • ESANN 2011 - Reservoir regularization stabilizes learning of Echo State Networks with output feedback [Details]
  • ESANN 2012 - Balancing of neural contributions for multi-modal hidden state association [Details]
  • ESANN 2012 - Learning visuo-motor coordination for pointing without depth calculation [Details]
  • ESANN 2012 - intrinsic plasticity via natural gradient descent [Details]
  • ESANN 2017 - Imitation learning for a continuum trunk robot [Details]
J. Steil
  • ESANN 1999 - Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation [Details]
Rebecca Steinert
  • ESANN 2006 - Recognition of handwritten digits using sparse codes generated by local feature extraction methods [Details]
K. Steinhöfel
  • ESANN 2001 - A local search method for pattern classification [Details]
Daniel Steinigen
  • ESANN 2026 - Code-Guided Reasoning in Vision-Language Models for Complex Diagram Understanding [Details]
Volker Stephan
  • ESANN 2012 - Effects of noise-reduction on neural function approximation [Details]
V. Stephan
  • ESANN 1998 - Perception and action selection by anticipation of sensorimotor consequences [Details]
Karsten Sternickel
  • ESANN 2006 - Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms [Details]
edmond sterpin
  • ESANN 2019 - Application of deep neural networks for automatic planning in radiation oncology treatments [Details]
M. Steuer
  • ESANN 2001 - An alternative approach for the evaluation of the neocognitron [Details]
Rick Stevens
  • ESANN 2009 - Oscillation in a network model of neocortex [Details]
Paul Stewart
  • ESANN 2012 - Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors [Details]
Terrence C. Stewart
  • ESANN 2020 - Detection of abnormal driving situations using distributed representations and unsupervised learning [Details]
Terrence C. Stewart
  • ESANN 2018 - Towards cognitive automotive environment modelling: reasoning based on vector representations [Details]
Han Stiekema
  • ESANN 2012 - Matrix relevance LVQ in steroid metabolomics based classification of adrenal tumors [Details]
Sebastian Stober
  • ESANN 2025 - INAM: Image-Scale Neural Additive Models [Details]
Ruxandra Stoean
  • ESANN 2018 - Bioinformatics and medicine in the era of deep learning [Details]
  • ESANN 2018 - Non-negative Matrix Factorization for Medical Imaging [Details]
Ivilin Stoianov
  • ESANN 2012 - Assessment of sequential Boltmann machines on a lexical processing task [Details]
  • ESANN 2012 - Parallelization of Deep Networks [Details]
Xeryus Stokkel
  • ESANN 2016 - Human detection and classification of landing sites for search and rescue drones [Details]
Roger Stone
  • No papers found
Leonardo Stoppani
  • ESANN 2026 - Boundary-Constrained Diffusion Models for Floorplan Generation: Balancing Realism and Diversity [Details]
C. Störmann
  • ESANN 1999 - A hybrid system for fraud detection in mobile communications [Details]
Michiel Straat
  • ESANN 2019 - On-line learning dynamics of ReLU neural networks using statistical physics techniques [Details]