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
Pawel Ksieniewicz
  • No papers found
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]
Fabian Kubiczek
  • ESANN 2025 - Generating Synthetic Spectral Data using Conditional DDPM [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]
Mauricio Kugler
  • ESANN 2006 - Non-linear gating network for the large scale classification model CombNET-II [Details]
Sven Dennis Kügler
  • ESANN 2015 - Autoencoding time series for visualisation [Details]
Thibaut Kulak
  • No papers found
Thibaut Kulak
  • ESANN 2022 - A bayesian variational principle for dynamic self organizing maps [Details]
Miroslav Kulich
  • ESANN 2014 - Self-organizing map for determination of goal candidates in mobile robot exploration [Details]
Devang Kulshreshtha
  • No papers found
Mohit Kumar
  • ESANN 2023 - Secure Federated Learning with Kernel Affine Hull Machines [Details]
S. Kumar
  • ESANN 2002 - Non-linear Canonical Correlation Analysis using a RBF network [Details]
Suresh Kirthi Kumaraswamy
  • No papers found
Suresh Kirthi Kumaraswamy
  • ESANN 2022 - Feature Compression Using Dynamic Switches in Multi-split CNNs [Details]
Anton Kummert
  • ESANN 2019 - Fast and reliable architecture selection for convolutional neural networks [Details]
Dan Kumpik
  • ESANN 2025 - Direct versus intermediate multi-task transfer learning for dementia detection from unstructured conversations [Details]
L.I. Kuncheva
  • ESANN 2007 - Data reduction using classifier ensembles [Details]
Shruti Kunde
  • ESANN 2021 - Data-Efficient Training of High-Resolution Images in Medical Domain [Details]
Sandip Kundu
  • ESANN 2019 - Memory Efficient Weightless Neural Network using Bloom Filter [Details]
Sandip Kundu
  • ESANN 2020 - Towards Adversarial Attack Resistant Deep Neural Networks [Details]
Suwat Kuntanapreeda
  • ESANN 2005 - A Stability Condition for Neural Network Control of Uncertain Systems [Details]
Marcin Kurdziel
  • ESANN 2017 - Random projection initialization for deep neural networks [Details]
M. Kurimo
  • ESANN 1998 - Self-organization in mixture densities of HMM based speech recognition [Details]
V. Kurkova
  • ESANN 1994 - Approximation of continuous functions by RBF and KBF networks [Details]
  • ESANN 1995 - Approximation of functions by Gaussian RBF networks with bouded number of hidden units [Details]
  • ESANN 1996 - Rates of approximation of real-valued boolean functions by neural networks [Details]
Susumu Kuroyanagi
  • ESANN 2006 - Non-linear gating network for the large scale classification model CombNET-II [Details]