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
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]
Urs Köster
  • ESANN 2006 - FastISA: A fast fixed-point algorithm for independent subspace analysis [Details]
Frank Köster
  • ESANN 2023 - Potential analysis of a Quantum RL controller in the context of autonomous driving [Details]
W.A. Kosters
  • ESANN 2000 - A Bayesian approach to combined neural networks forecasting [Details]
W. A. Kosters
  • ESANN 1997 - Two neural network methods for multidimensional scaling [Details]
T. Kostiainen
  • ESANN 2000 - Self-Organizing Maps in data analysis - notes on overfitting and overinterpretation [Details]
Oleh Kostromin
  • ESANN 2025 - RAM: Retrieval Augmented Modelling for Tabular In-Context Few-Shot Domain Adaptation [Details]
Patrick Kouontchou
  • ESANN 2007 - ICA-based High Frequency VaR for Risk Management [Details]
  • ESANN 2009 - A wavelet-heterogeneous index of market shocks for assessing the magnitude of financial crises [Details]
  • ESANN 2013 - Forecasting Financial Markets with Classified Tactical Signals [Details]
  • ESANN 2015 - Towards a Tomographic Index of Systemic Risk Measures [Details]
O. Kouropteva
  • ESANN 2003 - Classification of handwritten digits using supervised locally linear embedding algorithm and support vector machine [Details]
György Kovács
  • ESANN 2020 - Cross-Encoded Meta Embedding towards Transfer Learning [Details]
Boris Kovalerchuk
  • ESANN 2004 - Neural networks for data mining: constrains and open problems [Details]
W. Kowalczyk
  • ESANN 1996 - An algorithm for training multilayer networks on non-numerical data [Details]
Jan Koza
  • No papers found
Jan Koza
  • ESANN 2022 - Neural-network-based estimation of normal distributions in black-box optimization [Details]