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
C. Srinivasan
  • ESANN 2001 - Bayesian decision theory on three layered neural networks [Details]
M. St Aubyn
  • ESANN 1997 - Connectionist rule processing using recursive auto-associative memory [Details]
Mariacarla Staffa
  • ESANN 2011 - Thresholds tuning of a neuro-symbolic net controlling a behavior-based robotic system [Details]
  • ESANN 2014 - Can you follow that guy? [Details]
A. Stafylopatis
  • ESANN 1993 - Embedding knowledge ibto stochastic learning automata for fast solution ofbinary constraint satisfaction problems [Details]
Joe Staines
  • ESANN 2013 - Optimization by Variational Bounding [Details]
Claudio Stamile
  • ESANN 2018 - Graph based neural networks for automatic classification of multiple sclerosis clinical courses [Details]
Tomasz Stańczyk
  • ESANN 2021 - Deep Graph Convolutional Networks for Wind Speed Prediction [Details]
François-Xavier Standaert
  • ESANN 2023 - Fine-tuning is not (always) overfitting artifacts [Details]
  • ESANN 2024 - Does a Reduced Fine-Tuning Surface Impact the Stability of the Explanations of LLMs? [Details]
Daniel Staps
  • ESANN 2023 - Learning Vector Quantization in Context of Information Bottleneck Theory [Details]
Sédrick Stassin
  • ESANN 2023 - Multimodal Approach for Harmonized System Code Prediction [Details]
  • ESANN 2023 - Similarity versus Supervision: Best Approaches for HS Code Prediction [Details]
Radu State
  • ESANN 2017 - The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study [Details]
  • ESANN 2018 - Impact of Biases in Big Data [Details]
  • ESANN 2019 - time series modelling of market price in real-time bidding [Details]
T. Stathaki
  • ESANN 2001 - Texture analysis with the Volterra model using conjugate gradient optimisation [Details]
Alexander Statnikov
  • ESANN 2011 - Inferring the causal decomposition under the presence of deterministic relations [Details]
Magnus Stavngaard
  • ESANN 2019 - Detecting Ghostwriters in High Schools [Details]
Bernardo Stearns
  • ESANN 2017 - Scholar Performance Prediction using Boosted Regression Trees Techniques [Details]
Jan Steckel
  • ESANN 2012 - EMFit based Ultrasonic Phased Arrays with evolved Weights for Biomimetic Target Localization [Details]
Frank-Florian Steege
  • ESANN 2012 - Effects of noise-reduction on neural function approximation [Details]
  • ESANN 2013 - Evolutionary computation based system decomposition with neural networks [Details]
Robert Steele
  • ESANN 2005 - An artificial neural network for analysing the survival of patients with colorectal cancer [Details]
Jerzy Stefanowski
  • No papers found
Jan Steffen
  • ESANN 2010 - Neural competition for motion segmentation [Details]
Georgina Stegmayer
  • ESANN 2005 - A Neural Network that helps building a Nonlinear Dynamical model of a Power Amplifier [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]
Jochen Jakob Steil
  • ESANN 2007 - Intrinsic plasticity for reservoir learning algorithms [Details]
  • ESANN 2007 - Several ways to solve the MSO problem [Details]
J. Steil
  • ESANN 1999 - Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation [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]
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]
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]
Rebecca Steinert
  • ESANN 2006 - Recognition of handwritten digits using sparse codes generated by local feature extraction methods [Details]