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
Jamie Kiros
  • ESANN 2020 - Modular Length Control for Sentence Generation [Details]
Murat Kirtay
  • ESANN 2018 - Spatial pooling as feature selection method for object recognition [Details]
Matthias Kissel
  • No papers found
Matthias Kissel
  • ESANN 2022 - Deep Convolutional Neural Networks with Sequentially Semiseparable Weight Matrices [Details]
M. Kitabata
  • ESANN 1998 - Grouping complex face parts by nonlinear oscillations [Details]
H. Kitano
  • ESANN 2001 - A computational model of monkey grating cells for oriented repetitive alternating patterns [Details]
  • ESANN 2001 - Graph extraction from color images [Details]
Dietrich Klakow
  • ESANN 2021 - Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression [Details]
Stefan Klanke
  • ESANN 2006 - Variants of Unsupervised Kernel Regression: General cost functions [Details]
  • ESANN 2009 - Does dimensionality reduction improve the quality of motion interpolation? [Details]
G. P. Klebus
  • ESANN 1998 - Extending the CMAC model: adaptive input quantization [Details]
Carlos E. Klein
  • ESANN 2014 - Improved Cat Swarm Optimization approach applied to reliability-redundancy problem [Details]
Carlos Eduardo Klein
  • ESANN 2018 - Cheetah Based Optimization Algorithm: A Novel Swarm Intelligence Paradigm [Details]
  • ESANN 2018 - Meerkats-inspired Algorithm for Global Optimization Problems [Details]
Robert Kleinkauf
  • ESANN 2016 - RNAsynth: constraints learning for RNA inverse folding. [Details]
José Henrique Kleinubing Larcher
  • No papers found
José Henrique Kleinubing Larcher
  • ESANN 2022 - Wind power forecasting based on bagging extreme learning machine ensemble model [Details]
Stefan Klinger
  • ESANN 2005 - Chemical similarity searching using a neural graph matcher [Details]
Marius Kloetzer
  • ESANN 2004 - Neuro-predictive control based self-tuning of PID controllers [Details]
Maximilian Knaller
  • ESANN 2018 - Self-learning assembly systems during ramp-up [Details]
Urspeter Knecht
  • ESANN 2016 - A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases [Details]
Alois Knoll
  • ESANN 2012 - Complex Valued Artificial Recurrent Neural Network as a Novel Approach to Model the Perceptual Binding Problem [Details]
  • ESANN 2013 - Hierarchical Reinforcement Learning for Robot Navigation [Details]
  • ESANN 2013 - Learning control under uncertainty: A probabilistic Value-Iteration approach [Details]
H. Knutsson
  • ESANN 2001 - Canonical correlation analysis in early vision processing [Details]
Vladimer Kobayashi
  • ESANN 2013 - Handling missing values in kernel methods with application to microbiology data [Details]
Reinmar Kobler
  • ESANN 2024 - Geometric Deep Learning to Enhance Imbalanced Domain Adaptation in EEG [Details]
Y. Kobuchi
  • ESANN 1997 - Order between logic networks and stable neural networks [Details]
  • ESANN 2003 - Cellular topographic self-organization under correlational learning [Details]
Youichi Kobuchi
  • ESANN 2004 - SOM algorithms and their stability consideration [Details]
Taskin Kocak
  • ESANN 2005 - performance of EMI based mine detection using back-propagation neural networks [Details]
Gokhan Kocyigit
  • No papers found
V. Kodogiannis
  • ESANN 2001 - Prediction of foreign exchange rates by neural network and fuzzy system based techniques [Details]
Birgit Koeppen-Seliger
  • ESANN 2004 - Dynamic functional-link neural networks genetically evolved applied to system identification [Details]
Edgar Koerner
  • ESANN 2008 - Robust object segmentation by adaptive metrics in Generalized LVQ [Details]
C. Koers
  • ESANN 2003 - Monitoring technical systems with prototype based clustering [Details]