Suchfeld

163 Einträge « 1 von 4 »

2024

Oedingen, Marc; Engelhardt, Raphael C.; Denz, Robin; Hammer, Maximilian; Konen, Wolfgang

ChatGPT Code Detection: Techniques for Uncovering the Source of Code Miscellaneous

2024.

Links | BibTeX | Schlagwörter: AI, ChatGPT, Code Detection, Large Language Models, machine learning

Oedingen, Marc; Engelhardt, Raphael C.; Denz, Robin; Hammer, Maximilian; Konen, Wolfgang

ChatGPT Code Detection: Techniques for Uncovering the Source of Code Journal Article

In: AI, Bd. 5, Nr. 3, S. 1066–1094, 2024, ISSN: 2673-2688.

Abstract | Links | BibTeX | Schlagwörter: AI, ChatGPT, Code Detection, Large Language Models, machine learning

2023

Lange, Moritz; Krystiniak, Noah; Engelhardt, Raphael C.; Konen, Wolfgang; Wiskott, Laurenz

Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison Proceedings Article

In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023, (Best Paper Award).

BibTeX | Schlagwörter: auxiliary tasks, reinforcement learning, Representation learning, RL3

Konen, Wolfgang

Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning Journal Article

In: arXiv preprint arXiv:2301.12167, 2023.

Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning

Engelhardt, Raphael C; Oedingen, Marc; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Iterative Oblique Decision Trees Deliver Explainable RL Models Journal Article

In: Algorithms, Bd. 16, Nr. 6, S. 282, 2023.

Links | BibTeX | Schlagwörter: AI, decision trees, deep learning, explainable AI, reinforcement learning, RL3

Engelhardt, Raphael C.; Raycheva, Ralitsa; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning Proceedings Article

In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023.

Links | BibTeX | Schlagwörter: Cybernetics, Deep Reinforcement Learning, Large Action Space, RL3, Serious Games

2022

Konen, Wolfgang

The GBG Class Interface Tutorial V2.3: General Board Game Playing and Learning Technical Report

TH Köln 2022.

Links | BibTeX | Schlagwörter: CI, Game Learning, GBG, general game playing, learning, optimization, reinforcement learning

Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Sample-based Rule Extraction for Explainable Reinforcement Learning Proceedings Article

In: 8th International Conference on machine Learning, Optimization, and Data Science (LOD2022), 2022.

Links | BibTeX | Schlagwörter: decision trees, deep learning, explainable AI, reinforcement learning, RL3

Scheiermann, Johannes; Konen, Wolfgang

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Journal Article

In: IEEE Transactions on Games, 2022.

Links | BibTeX | Schlagwörter: CI, Game Learning, GBG, general game playing, learning, optimization, reinforcement learning

Scheiermann, Johannes; Konen, Wolfgang

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time Journal Article

In: arXiv preprint arXiv:2204.13307, 2022, (Preprint of the IEEE ToG 2022 paper).

Links | BibTeX | Schlagwörter: CI, Game Learning, GBG, general game playing, learning, optimization, reinforcement learning

2021

Thill, Markus; Konen, Wolfgang; Wang, Hao; Bäck, Thomas

Temporal convolutional autoencoder for unsupervised anomaly detection in time series Journal Article

In: Applied Soft Computing, Bd. 112, S. 107751, 2021.

Links | BibTeX | Schlagwörter: anomaly detection, deep learning, TCN, time series

Konen, Wolfgang; Bagheri, Samineh

Final adaptation reinforcement learning for N-player games Journal Article

In: arXiv preprint arXiv:2111.14375, 2021.

Links | BibTeX | Schlagwörter: CI, Game Learning, GBG, general game playing, learning, optimization, reinforcement learning

Bagheri, Samineh; Reinicke, Ulf; Anders, Denis; Konen, Wolfgang

Surrogate-assisted optimization for augmentation of finite element techniques Journal Article

In: Journal of Computational Science, Bd. 54, S. 101427, 2021.

BibTeX | Schlagwörter: FEM, optimization, SACOBRA, surrogate models

Engelhardt, Raphael C.; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Shedding light into the black box of reinforcement learning - extended abstract Proceedings Article

In: Hammer, Barbara; Schilling, Malte; Wiskott, Laurenz (Hrsg.): Workshop on Trustworthy AI in the Wild (at: KI 2021 - German Conf. on AI), 2021.

Links | BibTeX | Schlagwörter: decision trees, deep learning, explainable AI, reinforcement learning, RL3

2020

Konen, Wolfgang; Bagheri, Samineh

Reinforcement Learning for N-Player Games: The Importance of Final Adaptation Proceedings Article

In: Vasile, Massimiliano; Filipic, Bogdan (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA) , Bruxelles. Video (15 min) + slides available at https://youtu.be/OcpX7ITeH9w, 2020.

Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning

Konen, Wolfgang

The GBG Class Interface Tutorial V2.2: General Board Game Playing and Learning Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining), Oct 2020.

Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning

Konen, Wolfgang; Bagheri, Samineh

Final Adaptation Reinforcement Learning for N-Player Games Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2020.

Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning

Konen, Wolfgang

Die CO2-Kosten des Video-Streaming Journal Article

In: Die Neue Hochschule (dnh), Bd. 3, S. 18-19, 2020.

Links | BibTeX | Schlagwörter: digital content, online teaching, video streaming

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Time Series Encodings with Temporal Convolutional Networks Proceedings Article

In: Vasile, Massimiliano; Filipic, Bogdan (Hrsg.): 9th International Conference on Bioinspired Optimisation Methods and Their Applications (BIOMA), Bruxelles. Video (15 min) available at https://youtu.be/PjI4fpcTGFY, 2020.

Links | BibTeX | Schlagwörter: anomaly detection, deep learning, TCN, time series

Thill, Markus; Konen, Wolfgang

Predictive Maintenance & Anomalie-Erkennung: Effiziente Instandhaltung mit Verfahren der KI Miscellaneous

Vortrag DEBRL2020 (Digital Exchange Bergisches Rheinland 2020), als Video über https://digital-xchange.de/streaming verfügbar, 2020.

Links | BibTeX | Schlagwörter: anomaly detection, deep learning, TCN, time series

2019

Konen, Wolfgang

General Board Game Playing for Education and Research in Generic AI Game Learning Proceedings Article

In: Perez, Diego; Mostaghim, Sanaz; Lucas, Simon (Hrsg.): IEEE Conference on Games, London, 2019.

Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning Technical Report

arXiv preprint arXiv:1904.08397 2019.

Links | BibTeX | Schlagwörter: optimization, SACOBRA, surrogate models

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

Solving Optimization Problems with High Conditioning by Means of Online Whitening Proceedings Article

In: Lopez-Ibanez, Manuel (Hrsg.): Genetic and Evolutionary Computation Conference 2019 (GECCO'19), Prague, S. 243-244, ACM, 2019.

Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization, SACOBRA, surrogate models

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

How to Solve the Dilemma of Margin-Based Equality Constraint Handling Methods Journal Article

In: at-Automatisierungstechnik, Bd. submitted, 2019.

BibTeX | Schlagwörter: optimization, SACOBRA, surrogate models

Buhl, Henning; Konen, Wolfgang; Thill, Markus

Deep Learning mit Keras und Tensorflow Miscellaneous

Vortrag auf DEBRL2019 (Digital Exchange Bergisches Rheinland 2019), 2019.

Links | BibTeX | Schlagwörter: deep learning

Konen, Wolfgang

The GBG Class Interface Tutorial V2.0: General Board Game Playing and Learning Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) 2019.

Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning

Thill, Markus; Däubner, Sina; Konen, Wolfgang; Bäck, Thomas

Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks Proceedings Article

In: Barancíková, Petra; Holena, Martin; others, (Hrsg.): Proc. 19th Conference Information Technologies - Applications and Theory (ITAT 2019), 2019, (Best Paper Award).

Links | BibTeX | Schlagwörter: anomaly detection, deep learning, learning, LSTM, time series

2018

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

How to Solve the Dilemma of Margin-Based Equality Handling Methods Proceedings Article

In: Hoffmann, Frank; Hüllermeier, Eyke; Mikut, Ralf (Hrsg.): Proceedings - 28. Workshop Computational Intelligence, Dortmund, 29. - 30. November 2018, S. 257-270, KIT Scientific Publishing, Karlsruhe, 2018, ISBN: 978-3-7315-0845-8, (**Young Author Award**).

Links | BibTeX | Schlagwörter: equality constraint, optimization, SACOBRA, surrogate models

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Online Adaptable Time Series Anomaly Detection with Discrete Wavelet Transforms and Multivariate Gaussian Distributions Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) TH Köln - University of Applied Science, 2018, (submitted to Archives of Data Sciences, Series A (ECDA'2018), preprint available at http://www.gm.fh-koeln.de/ciopwebpub/Thill18a.d/AoDS2018.pdf).

Links | BibTeX | Schlagwörter: anomaly detection, DWT, maximum likelihood estimation, time series, wavelet transform

Konen, Wolfgang; Koch, Patrick

The TDMR 2.0 Package: Tuned Data Mining in R Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 02/2018, 2018, (Last update: April 2018 (original version: 2012)).

Links | BibTeX | Schlagwörter: parameter tuning, SOMA, TDMR

Konen, Wolfgang; Koch, Patrick

The TDMR 2.0 Tutorial: Examples for Tuned Data Mining in R Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 03/2018, 2018, (Last update: April 2018 (original version: 2012)).

Links | BibTeX | Schlagwörter: parameter tuning, SOMA, TDMR

2017

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

Comparing Kriging and Radial Basis Function Surrogates Proceedings Article

In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 243-259, Universitätsverlag Karlsruhe, 2017.

Links | BibTeX | Schlagwörter: CI, constraints, Kriging, MONREP, optimization, surrogate models

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation Proceedings Article

In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 27. Workshop Computational Intelligence, S. 67-71, Universitätsverlag Karlsruhe, 2017.

Links | BibTeX | Schlagwörter: anomaly detection, DWT, time series

Bagheri, Samineh; Konen, Wolfgang; Allmendinger, Richard; Branke, Jürgen; Deb, Kalyanmoy; Fieldsend, Jonathan; Quagliarella, Domenico; Sindhya, Karthik

Constraint Handling in Efficient Global Optimization Proceedings Article

In: Bosman, Peter A. N. (Hrsg.): Genetic and Evolutionary Computation Conference 2017 (GECCO'17), Berlin, S. 1, ACM, 2017.

Links | BibTeX | Schlagwörter: CI, constraints, Kriging, MONREP, optimization, surrogate models

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation Proceedings Article

In: Valenzuela, Olga; Rojas, Ignacio; others, (Hrsg.): International Work-Conference on Time Series (ITISE2017), 2017.

Links | BibTeX | Schlagwörter: anomaly detection, DWT, time series

Konen, Wolfgang

The GBG Class Interface Tutorial: General Board Game Playing and Learning Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2017, (e-print published at http://www.gm.fh-koeln.de/ciopwebpub/Kone17a.d/TR-GBG.pdf).

Links | BibTeX | Schlagwörter: CI, Game Learning, general game playing, learning, optimization, reinforcement learning

Bagheri, Samineh; Konen, Wolfgang; Emmerich, Michael; Bäck, Thomas

Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets Journal Article

In: Applied Soft Computing, Bd. 61, S. 377-393, 2017, ISSN: 1568-4946.

Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization, surrogate models

Thill, Markus; Konen, Wolfgang; Bäck, Thomas

Online anomaly detection on the Webscope S5 dataset: A comparative study Proceedings Article

In: IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS 2017), S. 1, Springer 2017.

Links | BibTeX | Schlagwörter: anomaly detection, time series

2016

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

Online Selection of Surrogate Models for Constrained Black-Box Optimization Proceedings Article

In: Jin, Yaochu (Hrsg.): SSCI'2016, Athens, S. 1, IEEE, 2016, (**Best Student Paper Award**).

Links | BibTeX | Schlagwörter: CI, constraints, ensemble, MONREP, optimization

Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas

Equality Constraint Handling for Surrogate-Assisted Constrained Optimization Proceedings Article

In: Tan, Kay Chen (Hrsg.): WCCI'2016, Vancouver, S. 1924–1931, IEEE, 2016.

Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization

Konen, Wolfgang

Illumination-invariant image mosaic calculation based on logarithmic search Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2016, (e-print published at http://arxiv.org/abs/1603.06433).

Links | BibTeX | Schlagwörter: BV-3D-Endo, computer vision, image mosaic, LogSearch, neuroendoscopy

Bagheri, Samineh; Thill, Markus; Koch, Patrick; Konen, Wolfgang

Online Adaptable Learning Rates for the Game Connect-4 Journal Article

In: IEEE Transactions on Computational Intelligence and AI in Games, Bd. 8, Nr. 1, S. 33-42, 2016, (accepted 11/2014).

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, optimization, reinforcement learning

2015

Bagheri, Samineh; Konen, Wolfgang; Emmerich, Michael; Bäck, Thomas

Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, Nr. 06/15; arXiv: 1512.09251, 2015, ISSN: 2191-365X, (e-print published at http://arxiv.org/abs/1512.09251).

Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization

Bagheri, Samineh; Konen, Wolfgang; Foussette, Christophe; Krause, Peter; Bäck, Thomas; Koch, Patrick

SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF Proceedings Article

In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 25. Workshop Computational Intelligence, S. 87-98, Universitätsverlag Karlsruhe, 2015, (**Young Author Award**).

Links | BibTeX | Schlagwörter: CI, constraints, MONREP, optimization

Konen, Wolfgang

Reinforcement Learning for Board Games: The Temporal Difference Algorithm Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Sciences, 2015.

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning

Koch, Patrick; Bagheri, Samineh; Konen, Wolfgang; Foussette, Christophe; Krause, Peter; Bäck, Thomas

A New Repair Method For Constrained Optimization Proceedings Article

In: Jiménez-Laredo, Juan Luis (Hrsg.): Proceedings of the 17th Genetic and Evolutionary Computation Conference (GECCO'15), 2015.

Links | BibTeX | Schlagwörter: constraints, MONREP, optimization

Stork, Jörg; Ramos, Ricardo; Koch, Patrick; Konen, Wolfgang

SVM ensembles are better when different kernel types are combined Book Section

In: Lausen, Berthold; Krolak-Schwerdt, Sabine (Hrsg.): Data Science, Learning by Latent Structures, and Knowledge Discovery, S. 191–201, Springer, 2015.

Links | BibTeX | Schlagwörter: CI, ensemble, parameter tuning, SOMA, SVM, TDMR

Koch, Patrick; Wagner, Tobias; Emmerich, Michael T. M.; Bäck, Thomas; Konen, Wolfgang

Efficient multi-criteria optimization on noisy machine learning problems Journal Article

In: Applied Soft Computing, Bd. 29, S. 357-370, 2015.

Links | BibTeX | Schlagwörter: CI, machine learning, optimization, parameter tuning, TDMR

Konen, Wolfgang

Reinforcement Learning für Brettspiele: Der Temporal Difference Algorithmus Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015, (Updated version 2015).

Links | BibTeX | Schlagwörter: CI, Game Learning, learning, reinforcement learning

Konen, Wolfgang

The rCMA Tutorial: Examples for using CMA-ES in R Technical Report

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015.

Links | BibTeX | Schlagwörter: CI, CMA, constraints, MONREP, optimization, rCMA

163 Einträge « 1 von 4 »

 


Suchfeld

206 Einträge « 1 von 21 »
1.

Langrehr, Sarah

ChatGPT als Mathematik-Lernbegleiter – Wie unterstützen ChatGPT 3.5, 4.0 und 4.0 + WolframAlpha Schüler und Studierende im Lernprozess? Masters Thesis

TH Köln – University of Applied Sciences, 2024, (Bachelor thesis).

Links | BibTeX

2.

Marcus, Tobias

Untersuchung von stochastischen und nicht-stochastischen Reinforcement-Learning-Algorithmen für Blackjack und Kuhn Poker Masters Thesis

TH Köln – University of Applied Sciences, 2024, (Bachelor thesis).

Links | BibTeX

3.

Paul, Jonathan

Untersuchung über die Eignung von KI-Modellen als Tutor in der Mathematikausbildung Masters Thesis

TH Köln – University of Applied Sciences, 2024, (Bachelor thesis).

Links | BibTeX

4.

Oedingen, Marc; Engelhardt, Raphael C.; Denz, Robin; Hammer, Maximilian; Konen, Wolfgang

ChatGPT Code Detection: Techniques for Uncovering the Source of Code Miscellaneous

2024.

Links | BibTeX

5.

Oedingen, Marc; Engelhardt, Raphael C.; Denz, Robin; Hammer, Maximilian; Konen, Wolfgang

ChatGPT Code Detection: Techniques for Uncovering the Source of Code Journal Article

In: AI, Bd. 5, Nr. 3, S. 1066–1094, 2024, ISSN: 2673-2688.

Abstract | Links | BibTeX

6.

Lange, Moritz; Krystiniak, Noah; Engelhardt, Raphael C.; Konen, Wolfgang; Wiskott, Laurenz

Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison Proceedings Article

In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023, (Best Paper Award).

BibTeX

7.

Konen, Wolfgang

Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning Journal Article

In: arXiv preprint arXiv:2301.12167, 2023.

Links | BibTeX

8.

Engelhardt, Raphael C; Oedingen, Marc; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Iterative Oblique Decision Trees Deliver Explainable RL Models Journal Article

In: Algorithms, Bd. 16, Nr. 6, S. 282, 2023.

Links | BibTeX

9.

Engelhardt, Raphael C.; Raycheva, Ralitsa; Lange, Moritz; Wiskott, Laurenz; Konen, Wolfgang

Ökolopoly: Case Study on Large Action Spaces in Reinforcement Learning Proceedings Article

In: Nicosia, Giuseppe; Pardalos, Panos; others, (Hrsg.): 9th International Conference on machine Learning, Optimization, and Data Science (LOD2023), 2023.

Links | BibTeX

10.

Seven, Meltem

KI-Agenten im Vergleich: Erfolg von Agenten des Ludii General Game Systems in Partien gegen perfekte oder starke Agenten am Beispiel der Spiele Vier Gewinnt, Nim und Othello Masters Thesis

TH Köln – University of Applied Sciences, 2023, (Bachelor thesis).

Links | BibTeX

206 Einträge « 1 von 21 »