Learning to Generalize from Single Examples in the Dynamic Link Architecture. - Wolfgang Konen; Christoph von der Malsburg (Neural Comput., 1993)

Distortion Invariant Object Recognition in the Dynamic Link Architecture. - Martin Lades; Jan C. Vorbrüggen; Joachim M. Buhmann; Jörg Lange; Christoph von der Malsburg; Rolf P. Würtz; Wolfgang Konen (IEEE Trans. Computers, 1993)

A fast dynamic link matching algorithm for invariant pattern recognition. - Wolfgang Konen; Thomas Maurer; Christoph von der Malsburg (Neural Networks, 1994)

ZN-Face: A system for access control using automated face recognition. - Jörg Kopecz; Wolfgang Konen; Rolf Ekkehard Schulze-Krüger (SNN Symposium on Neural Networks, 1995)

Comparing Facial Line Drawings with Gray-Level Images: A Case Study on PHANTOMAS. - Wolfgang Konen (ICANN, 1996)

How Fast can Neuronal Algorithms Match Patterns. - Rolf P. Würtz; Wolfgang Konen; Kay-Ole Behrmann (ICANN, 1996)

On the performance of neuronal matching algorithms. - Rolf P. Würtz; Wolfgang Konen; Kay-Ole Behrmann (Neural Networks, 1999)

Real-Time Image Mosaic for Endoscopic Video Sequences. - Wolfgang Konen; Beate Breiderhoff; Martin Scholz (Bildverarbeitung für die Medizin, 2007)

Robust registration procedures for endoscopic imaging. - Wolfgang Konen; S. Tombrock; Martin Scholz (Medical Image Anal., 2007)

Reinforcement Learning: Insights from Interesting Failures in Parameter Selection. - Wolfgang Konen; Thomas Bartz-Beielstein (PPSN, 2008)

Reinforcement learning for games: failures and successes. - Wolfgang Konen; Thomas Bartz-Beielstein (GECCO (Companion), 2009)

Optimierte Modellierung von Füllständen in Regenüberlaufbecken mittels CI-basierter Parameterselektion (Optimized Modelling of Fill Levels in Stormwater Tanks Using CI-based Parameter Selection Schemes). - Wolfgang Konen; Tobias Zimmer; Thomas Bartz-Beielstein (Autom., 2009)

Comparing SPO-tuned GP and NARX prediction models for stormwater tank fill level prediction. - Oliver Flasch; Thomas Bartz-Beielstein; Artur Davtyan; Patrick Koch; Wolfgang Konen; Tosin Daniel Oyetoyan; Michael Tamutan (IEEE Congress on Evolutionary Computation, 2010)

Optimization of biogas production with computational intelligence a comparative study. - Jörg Ziegenhirt; Thomas Bartz-Beielstein; Oliver Flasch; Wolfgang Konen; Martin Zaefferer (IEEE Congress on Evolutionary Computation, 2010)

Gesture recognition on few training data using Slow Feature Analysis and parametric bootstrap. - Patrick Koch; Wolfgang Konen; Kristine Hein (IJCNN, 2010)

Noisy optimization with sequential parameter optimization and optimal computational budget allocation. - Thomas Bartz-Beielstein; Martina Friese; Martin Zaefferer; Boris Naujoks; Oliver Flasch; Wolfgang Konen; Patrick Koch (GECCO (Companion), 2011)

Tuned data mining: a benchmark study on different tuners. - Wolfgang Konen; Patrick Koch; Oliver Flasch; Thomas Bartz-Beielstein; Martina Friese; Boris Naujoks (GECCO, 2011)

Self-configuration from a Machine-Learning Perspective - Wolfgang Konen (CoRR, 2011)

Efficient Sampling and Handling of Variance in Tuning Data Mining Models. - Patrick Koch; Wolfgang Konen (PPSN (1), 2012)

Reinforcement Learning with N-tuples on the Game Connect-4. - Markus Thill; Patrick Koch; Wolfgang Konen (PPSN (1), 2012)

Tuning and evolution of support vector kernels. - Patrick Koch; Bernd Bischl; Oliver Flasch; Thomas Bartz-Beielstein; Claus Weihs; Wolfgang Konen (Evol. Intell., 2012)

SVM Ensembles Are Better When Different Kernel Types Are Combined. - Jörg Stork; Ricardo Ramos; Patrick Koch; Wolfgang Konen (ECDA, 2013)

Temporal difference learning with eligibility traces for the game connect four. - Markus Thill; Samineh Bagheri; Patrick Koch; Wolfgang Konen (CIG, 2014)

Adaptation in Nonlinear Learning Models for Nonstationary Tasks. - Wolfgang Konen; Patrick Koch (PPSN, 2014)

A New Repair Method For Constrained Optimization. - Patrick Koch; Samineh Bagheri; Wolfgang Konen; Christophe Foussette; Peter Krause 001; Thomas Bäck (GECCO, 2015)

Efficient multi-criteria optimization on noisy machine learning problems. - Patrick Koch; Tobias Wagner 001; Michael T. M. Emmerich; Thomas Bäck; Wolfgang Konen (Appl. Soft Comput., 2015)

Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control. - Samineh Bagheri; Wolfgang Konen; Michael Emmerich 001; Thomas Bäck (CoRR, 2015)

Equality constraint handling for surrogate-assisted constrained optimization. - Samineh Bagheri; Wolfgang Konen; Thomas Bäck (CEC, 2016)

Online selection of surrogate models for constrained black-box optimization. - Samineh Bagheri; Wolfgang Konen; Thomas Bäck (SSCI, 2016)

Illumination-invariant image mosaic calculation based on logarithmic search. - Wolfgang Konen (CoRR, 2016)

Online Adaptable Learning Rates for the Game Connect-4. - Samineh Bagheri; Markus Thill; Patrick Koch; Wolfgang Konen (IEEE Trans. Comput. Intell. AI Games, 2016)

Online anomaly detection on the webscope S5 dataset: A comparative study. - Markus Thill; Wolfgang Konen; Thomas Bäck (EAIS, 2017)

Constraint handling in efficient global optimization. - Samineh Bagheri; Wolfgang Konen; Richard Allmendinger 001; Jürgen Branke; Kalyanmoy Deb; Jonathan E. Fieldsend; Domenico Quagliarella; Karthik Sindhya (GECCO, 2017)

Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets. - Samineh Bagheri; Wolfgang Konen; Michael Emmerich 001; Thomas Bäck (Appl. Soft Comput., 2017)

General Board Game Playing for Education and Research in Generic AI Game Learning. - Wolfgang Konen (CoG, 2019)

Solving optimization problems with high conditioning by means of online whitening. - Samineh Bagheri; Wolfgang Konen; Thomas Bäck (GECCO (Companion), 2019)

Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks. - Markus Thill; Sina Däubener; Wolfgang Konen; Thomas Bäck (ITAT, 2019)

SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning. - Samineh Bagheri; Wolfgang Konen; Thomas Bäck (CoRR, 2019)

Reinforcement Learning for N-player Games: The Importance of Final Adaptation. - Wolfgang Konen; Samineh Bagheri (BIOMA, 2020)

Time Series Encodings with Temporal Convolutional Networks. - Markus Thill; Wolfgang Konen; Thomas Bäck (BIOMA, 2020)

MarkusThill/MGAB: The Mackey-Glass Anomaly Benchmark. - Markus Thill; Wolfgang Konen; Thomas Bäck (Zenodo, 2020)

MarkusThill/MGAB: The Mackey-Glass Anomaly Benchmark. - Markus Thill; Wolfgang Konen; Thomas Bäck (Zenodo, 2020)

Temporal convolutional autoencoder for unsupervised anomaly detection in time series. - Markus Thill; Wolfgang Konen; Hao Wang 025; Thomas Bäck (Appl. Soft Comput., 2021)

Final Adaptation Reinforcement Learning for N-Player Games. - Wolfgang Konen; Samineh Bagheri (CoRR, 2021)

Surrogate-assisted optimization for augmentation of finite element techniques. - Samineh Bagheri; Ulf Reinicke; Denis Anders; Wolfgang Konen (J. Comput. Sci., 2021)

Sample-Based Rule Extraction for Explainable Reinforcement Learning. - Raphael C. Engelhardt; Moritz Lange; Laurenz Wiskott; Wolfgang Konen (LOD (1), 2022)

AlphaZero-Inspired General Board Game Learning and Playing. - Johannes Scheiermann; Wolfgang Konen (CoRR, 2022)

Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning. - Raphael C. Engelhardt; Ralitsa Raycheva; Moritz Lange; Laurenz Wiskott; Wolfgang Konen (LOD (2), 2023)

Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-visual Environments: A Comparison. - Moritz Lange; Noah Krystiniak; Raphael C. Engelhardt; Wolfgang Konen; Laurenz Wiskott (LOD (2), 2023)

Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning. - Wolfgang Konen (CoRR, 2023)

Iterative Oblique Decision Trees Deliver Explainable RL Models. - Raphael C. Engelhardt; Marc Oedingen; Moritz Lange; Laurenz Wiskott; Wolfgang Konen (Algorithms, 2023)

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time. - Johannes Scheiermann; Wolfgang Konen (IEEE Trans. Games, 2023)

Exploring the Reliability of SHAP Values in Reinforcement Learning. - Raphael C. Engelhardt; Moritz Lange; Laurenz Wiskott; Wolfgang Konen (xAI (3), 2024)

Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks. - Moritz Lange; Raphael C. Engelhardt; Wolfgang Konen; Laurenz Wiskott (CoRR, 2024)

ChatGPT Code Detection: Techniques for Uncovering the Source of Code. - Marc Oedingen; Raphael C. Engelhardt; Robin Denz; Maximilian Hammer; Wolfgang Konen (CoRR, 2024)

Putting the Iterative Training of Decision Trees to the Test on a Real-World Robotic Task. - Raphael C. Engelhardt; Marcel J. Meinen; Moritz Lange; Laurenz Wiskott; Wolfgang Konen (CoRR, 2024)

Object-centric Denoising Diffusion Models for Physical Reasoning. - Moritz Lange; Raphael C. Engelhardt; Wolfgang Konen; Andrew Melnik; Laurenz Wiskott (CoRR, 2025)