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
Evan Kriminger
  • ESANN 2012 - One-class classifier based on extreme value statistics [Details]
Agathoklis Krimpenis
  • ESANN 2005 - Initialisation improvement in engineering feedforward ANN models [Details]
Senka Krivic
  • ESANN 2015 - Learning missing edges via kernels in partially-known graphs [Details]
Alex Krizhevsky
  • ESANN 2011 - Using very deep autoencoders for content-based image retrieval [Details]
Tomi Krogerus
  • ESANN 2019 - Deep Autoencoder Feature Extraction for Fault Detection of Elevator Systems [Details]
Bjoern Krollner
  • ESANN 2010 - Financial time series forecasting with machine learning techniques: a survey [Details]
B. Krose
  • ESANN 2002 - Fast nonlinear dimensionality reduction with topology preserving networks [Details]
B.J.A. Kröse
  • ESANN 2003 - Self-Organization by Optimizing Free-Energy [Details]
N. Krüger
  • ESANN 1997 - Object recognition with banana wavelets [Details]
Herbert Teun Kruitbosch
  • ESANN 2014 - Segmented shape-symbolic time series representation [Details]
Dean Krusienski
  • ESANN 2018 - interpretation of convolutional neural networks for speech regression from electrocorticography [Details]
Andrii Krutsylo
  • ESANN 2022 - Diverse Memory for Experience Replay in Continual Learning [Details]
Andrii Krutsylo
  • No papers found
Ash Kshirsagar
  • ESANN 2005 - Computational models of intracytoplasmic sperm injection prognosis [Details]
Pawel Ksieniewicz
  • No papers found
Pawel Ksieniewicz
  • ESANN 2022 - Data stream generation through real concept's interpolation [Details]
Jessica Ku
  • ESANN 2005 - Computational models of intracytoplasmic sperm injection prognosis [Details]
M. Kubat
  • ESANN 1995 - Trimming the inputs of RBF networks [Details]
Karsten Kube
  • ESANN 2004 - Modelling of biologically plausible excitatory networks: emergence and modulation of neural synchrony [Details]
  • ESANN 2005 - Spike-timing-dependent plasticity in 'small world' networks [Details]
  • ESANN 2006 - Connection strategies in neocortical networks [Details]
  • ESANN 2008 - Simulation of a recurrent neurointerface with sparse electrical connections [Details]
Karsten Kube
  • ESANN 2004 - Learning by geometrical shape changes of dendritic spines [Details]
Katya Kudashkina
  • ESANN 2020 - Modular Length Control for Sentence Generation [Details]
A. Kuechler
  • ESANN 1999 - Tree-recursive computation of gradient information for structures [Details]
Nicolas Kuehn
  • ESANN 2012 - learning task relatedness via dirichlet process priors for linear regression models [Details]
Sven Dennis Kügler
  • ESANN 2015 - Autoencoding time series for visualisation [Details]
Mauricio Kugler
  • ESANN 2006 - Non-linear gating network for the large scale classification model CombNET-II [Details]
Thibaut Kulak
  • ESANN 2022 - A bayesian variational principle for dynamic self organizing maps [Details]
Thibaut Kulak
  • No papers found
Miroslav Kulich
  • ESANN 2014 - Self-organizing map for determination of goal candidates in mobile robot exploration [Details]
Devang Kulshreshtha
  • No papers found
S. Kumar
  • ESANN 2002 - Non-linear Canonical Correlation Analysis using a RBF network [Details]