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
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 2014 - Misclassification of class C G-protein-coupled receptors as a label noise problem [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]
  • ESANN 2026 - Techniques for Reliable, Safe and Robust AI Applications [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]
B. Koppenhoefer
  • ESANN 1996 - The extraction of Sugeno fuzzy rules from neural networks [Details]
Anna Korba
  • ESANN 2018 - On aggregation in ranking median regression [Details]
Ouajdi Korbaa
  • ESANN 2018 - Order Crossover for the Inventory Routing Problem [Details]
J. Korczak
  • ESANN 1997 - The class of linear separability method [Details]
A. Korgul
  • ESANN 1997 - Time delay neural network for target-intercept problem solving [Details]
Abdel-Rahmen Korichi
  • ESANN 2021 - Predicting employee attrition with a more effective use of historical events [Details]
Eduard Korkotian
  • ESANN 2004 - Learning by geometrical shape changes of dendritic spines [Details]
O. Korn
  • ESANN 1997 - Sequential hypotheses tests for modelling neural networks [Details]
Edgar Körner
  • ESANN 2006 - Adaptive scene-dependent filters in online learning environments [Details]
P. Korpisaari
  • ESANN 1996 - Maximum covariance method for weight initialization of multilayer perceptron network [Details]
Iryna Korshunova
  • ESANN 2019 - Conditional BRUNO: a neural process for exchangeable labelled data [Details]
R.A. Kosinski
  • ESANN 1998 - On-off intermittency in small neural networks with synaptic noise [Details]
T. Koskela
  • ESANN 1998 - Recurrent SOM with local linear models in time series prediction [Details]
Heli Koskimäki
  • ESANN 2016 - From User-independent to Personal Human Activity Recognition Models Using Smartphone Sensors [Details]
  • ESANN 2018 - Personalizing human activity recognition models using incremental learning [Details]
  • ESANN 2019 - Importance of user inputs while using incremental learning to personalize human activity recognition models [Details]
Lisa Koßmann
  • ESANN 2024 - Investigating the Gestalt Principle of Closure in Deep Convolutional Neural Networks [Details]
Felix Kossak
  • ESANN 2025 - RAM: Retrieval Augmented Modelling for Tabular In-Context Few-Shot Domain Adaptation [Details]
Lubomir Kostal
  • ESANN 2012 - How regular is neuronal activity? [Details]
Frank Köster
  • ESANN 2023 - Potential analysis of a Quantum RL controller in the context of autonomous driving [Details]
  • ESANN 2026 - Revisiting Neural Activation Coverage for Uncertainty Estimation [Details]