Anthony Stein

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Jörg HähnerUniversität AugsburgVerified email at informatik.uni-augsburg.de
Sven TomfordeUniversität Kiel, Intelligent SystemsVerified email at informatik.uni-kiel.de
Lukas RosenbauerBSH Hausgeräte GmbHVerified email at bshg.com
Jean BotevUniversity of LuxembourgVerified email at uni.lu
Peter R. LewisCanada Research Chair in Trustworthy Artificial Intelligence at Ontario Tech UniversityVerified email at ontariotechu.ca
David PätzelUniversität AugsburgVerified email at uni-a.de
Ada DiaconescuAssociate Professor (Tenured) in Computer Science, HoD (2023-2024), Telecom Paris, LTCI, IP ParisVerified email at telecom-paristech.fr
Christian GruhlUniversity of KasselVerified email at uni-kassel.de
Christian KrupitzerTenure Track Professor for Food Informatics, Universität Hohenheim, GermanyVerified email at uni-hohenheim.de
Lukas EsterleAssociate Professor, Aarhus UniversityVerified email at ece.au.dk
Phyllis R. NelsonProfessor, Electrical and Computer Engineering, California State Polytechnic UniversityVerified email at cpp.edu
Andreas MargrafFraunhofer IGCV, University of AugsburgVerified email at igcv.fraunhofer.de
Evangelos PournarasProfessor of Trustworthy Distributed Intelligence, UKRI Future Leaders Fellow, University of LeedsVerified email at leeds.ac.uk
Rolf P. WürtzResearcher at Institut für Neuroinformatik, Ruhr-University Bochum, GermanyVerified email at rub.de
Masaya NakataYokohama National UniversityVerified email at ynu.ac.jp
Christopher Charles StewartThe Ohio State UniversityVerified email at cse.ohio-state.edu
Veronika LeschDoctoral Researcher, Chair of Software Engineering, University of WuerzburgVerified email at uni-wuerzburg.de
Samuel KounevProfessor of Software Engineering, University of WürzburgVerified email at uni-wuerzburg.de
Chloe M. BarnesAston UniversityVerified email at aston.ac.uk
Helena StegherrUniversität AugsburgVerified email at informatik.uni-augsburg.de

Anthony Stein

Artificial Intelligence in Agricultural Engineering, University of Hohenheim

Verified email at uni-hohenheim.de

Intelligent Agricultural Technology Organic Computing Evolutionary ML Learning Classifier Systems


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Self-improving system integration: Mastering continuous change K Bellman, J Botev, A Diaconescu, L Esterle, C Gruhl, C Landauer, ... Future Generation Computer Systems 117, 29-46, 2020	55	2020
Interpolation in the eXtended Classifier System: An Architectural Perspective A Stein, D Rauh, S Tomforde, J Hähner Journal of Systems Architecture, 2017	41	2017
Self-Improving System Integration-Status and Challenges after Five Years of SISSY K Bellman, J Botev, A Diaconescu, L Esterle, C Gruhl, C Landauer, ... 2018 IEEE 3rd International Workshops on Foundations and Applications of …, 2018	40	2018
XCS Classifier System with Experience Replay A Stein, R Maier, L Rosenbauer, J Hähner Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 404–413, 2020	34	2020
A Concept for Proactive Knowledge Construction in Self-Learning Autonomous Systems A Stein, S Tomforde, A Diaconescu, J Hähner, C Müller-Schloer 2018 IEEE 3rd International Workshops on Foundations and Applications of …, 2018	32	2018
Dealing with Unforeseen Situations in the Context of Self-Adaptive Urban Traffic Control: How to Bridge the Gap? A Stein, S Tomforde, D Rauh, J Hähner IEEE International Conference on Autonomic Computing, 167-172, 2016	29	2016
Toward curious learning classifier systems: combining XCS with active learning concepts A Stein, R Maier, J Hähner Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017	26	2017
Augmenting the Algorithmic Structure of XCS by Means of Interpolation A Stein, D Rauh, S Tomforde, J Hähner Architecture of Computing Systems -- ARCS 2016: 29th International …, 2016	25*	2016
What about interpolation?: a radial basis function approach to classifier prediction modeling in XCSF A Stein, S Menssen, J Hähner Proceedings of the Genetic and Evolutionary Computation Conference, 537-544, 2018	24	2018
A Survey of Formal Theoretical Advances Regarding XCS D Pätzel, A Stein, J Hähner Genetic and Evolutionary Computation Conference (GECCO 2019) Companion, 2019	23	2019
An Evolutionary Learning Approach to Self-Configuring Image Pipelines in the Context of Carbon Fiber Fault Detection A Margraf, A Stein, E Leonhard, S Geinitz, J Hähner IEEE International Conference on Machine Learning and Applications (ICMLA17 …, 2017	22	2017
Interpolation-based Classifier Generation in XCSF A Stein, C Eymüller, D Rauh, S Tomforde, J Hähner IEEE Congress on Evolutionary Computation, 3990-3998, 2016	22	2016
XCS as a reinforcement learning approach to automatic test case prioritization L Rosenbauer, A Stein, R Maier, D Pätzel, J Hähner Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020	20	2020
Food Informatics—Review of the Current State-of-the-Art, Revised Definition, and Classification into the Research Landscape C Krupitzer, A Stein Foods 10 (11), 2889, 2021	19	2021
XCSF with Experience Replay for Automatic Test Case Prioritization L Rosenbauer, A Stein, D Pätzel, J Hähner 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 1307-1314, 2020	19	2020
Bootstrapping a DQN Replay Memory with Synthetic Experiences W Pilar von Pilchau, A Stein, J Hähner Proceedings of the 12th International Joint Conference on Computational …, 2020	19*	2020
CHARIOT -- Towards a Continuous High-level Adaptive Runtime Integration Testbed CM Barnes, K Bellman, J Botev, A Diaconescu, L Esterle, C Gruhl, ... 2019 IEEE 4th International Workshops on Foundations and Applications of …, 2019	19	2019
An overview of LCS research from IWLCS 2019 to 2020 D Pätzel, A Stein, M Nakata Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020	16	2020
Local Ensemble Weighting in the Context of Time Series Forecasting Using XCSF M Sommer, A Stein, J Hähner IEEE Symposium Series on Computational Intelligence, 2016	15	2016
Reaction Learning A Stein Organic Computing -- Technical Systems for Survival in the Real World …, 2017	14	2017

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