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
J. Koetsier
  • ESANN 2002 - Exploratory Correlation Analysis [Details]
M. Köhle
  • ESANN 1996 - Identification of gait patterns with self-organizing maps based on ground reaction force [Details]
J. Kohlmorgen
  • ESANN 1999 - Hidden Markov gating for prediction of change points in switching dynamical systems [Details]
J. Köhn
  • ESANN 1995 - Latency-reduction in antagonistic visual channels as the result of corticofugal feedback [Details]
T. Kohonen
  • ESANN 1998 - Methods for interpreting a self-organized map in data analysis [Details]
Parastou Kohvaei
  • ESANN 2016 - RNAsynth: constraints learning for RNA inverse folding. [Details]
Risto Koiva
  • ESANN 2006 - Unsupervised clustering of continuous trajectories of kinematic trees with SOM-SD [Details]
J. N. Kok
  • ESANN 1997 - Two neural network methods for multidimensional scaling [Details]
  • ESANN 2000 - SpikeProp: backpropagation for networks of spiking neurons [Details]
J.N. Kok
  • ESANN 1993 - A lateral inhibition neural network that emulates a winner-takes-all algorithm [Details]
  • ESANN 1994 - Model selection for neural networks: comparing MDL and NIC [Details]
  • ESANN 1996 - Constraining of weights using regularities [Details]
  • ESANN 2002 - Modeling efficient conjunction detection with spiking neural networks [Details]
M. Kokol
  • ESANN 1995 - Function approximation by localized basis function neural network [Details]
Illya Kokshenev
  • ESANN 2007 - Complexity bounds of radial basis functions and multi-objective learning [Details]
Marta Kolasa
  • ESANN 2008 - Parallel asynchronous neighborhood mechanism for WTM Kohonen network implemented in CMOS technology [Details]
  • ESANN 2009 - Hardware Implementation Issues of the Neighborhood Mechanism in Kohonen Self Organized Feature Maps [Details]
  • ESANN 2010 - Programmable triangular neighborhood functions of Kohonen Self-Organizing Maps realized in CMOS technology [Details]
  • ESANN 2011 - Fisherman learning algorithm of the SOM realized in the CMOS technology [Details]
  • ESANN 2012 - Implementation Issues of Kohonen Self-Organizing Map Realized on FPGA [Details]
  • ESANN 2014 - An Optimized Learning Algorithm Based on Linear Filters Suitable for Hardware implemented Self-Organizing Maps [Details]
Andreas Kolb
  • ESANN 2011 - Multispectral image characterization by partial generalized covariance [Details]
T. Kolb
  • ESANN 1994 - Concerning the formation of chaotic behaviour in recurrent neural networks [Details]
  • ESANN 1998 - A RNN based control architecture for generating periodic action sequences [Details]
Rene Kollmann
  • ESANN 2020 - Verifying Deep Learning-based Decisions for Facial Expression Recognition [Details]
Vitaliy Kolodyazhniy
  • ESANN 2009 - Spline-based neuro-fuzzy Kolmogorov’s network for time series prediction [Details]
Joanna Komorniczak
  • ESANN 2022 - Data stream generation through real concept's interpolation [Details]
Joanna Komorniczak
  • No papers found
Jukka Komulainen
  • ESANN 2018 - Effect of context in swipe gesture-based continuous authentication on smartphones [Details]
Kishore Konda
  • ESANN 2015 - Real-time activity recognition via deep learning of motion features [Details]
Caroline König
  • ESANN 2025 - Altered emotion recognition from psychiatric patient profiles using Machine Learning [Details]
  • ESANN 2025 - Machine Learning and applied Artificial Intelligence in cognitive sciences and pyschology: a tutorial [Details]
Caroline König
  • ESANN 2014 - Misclassification of class C G-protein-coupled receptors as a label noise problem [Details]
Aleksandra Konopka
  • ESANN 2023 - Performance Evaluation of Activation Functions in Extreme Learning Machine [Details]
D. Kontoravdis
  • ESANN 1993 - Embedding knowledge ibto stochastic learning automata for fast solution ofbinary constraint satisfaction problems [Details]
Ksenia Konyushkova
  • ESANN 2013 - Content-based image retrieval with hierarchical Gaussian Process bandits with self-organizing maps [Details]
Chiel Kooijman
  • ESANN 2015 - Pareto Local Search for MOMDP Planning [Details]
K. Kopecz
  • ESANN 1997 - Size invariance by dynamic scaling in neural vision systems [Details]
Thomas Kopinski
  • ESANN 2015 - A simple technique for improving multi-class classification with neural networks [Details]
Daniel Kopp
  • ESANN 2025 - Encoding Matters: Impact of Categorical Variable Encoding on Performance and Bias [Details]
Luis Kopp
  • ESANN 2019 - Modeling Sparse Data as Input for Weightless Neural Network [Details]