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
David PätzelUniversität AugsburgVerified email at uni-a.de
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
Ada DiaconescuAssociate Professor (Tenured) in Computer Science, Telecom Paris, LTCI, Inst. Polytechnique de ParisVerified email at telecom-paristech.fr
Lukas EsterleAssociate Professor, Aarhus UniversityVerified email at ece.au.dk
Christian GruhlUniversity of KasselVerified email at uni-kassel.de
Christian KrupitzerTenure Track Professor for Food Informatics, Universität Hohenheim, GermanyVerified email at uni-hohenheim.de
Phyllis R. NelsonProfessor, Electrical and Computer Engineering, California State Polytechnic UniversityVerified email at cpp.edu
Rolf P. WürtzResearcher at Institut für Neuroinformatik, Ruhr-University Bochum, GermanyVerified email at rub.de
Masaya NakataYokohama National UniversityVerified email at ynu.ac.jp
Andreas MargrafFraunhofer IGCV, University of AugsburgVerified email at igcv.fraunhofer.de
Christopher StewartThe Ohio State UniversityVerified email at cse.ohio-state.edu
Evangelos PournarasUKRI Future Leaders Fellow, Associate Professor, School of Computing, University of LeedsVerified email at leeds.ac.uk
Chloe M. BarnesAston UniversityVerified email at aston.ac.uk
Veronika LeschDoctoral Researcher, Chair of Software Engineering, University of WuerzburgVerified email at uni-wuerzburg.de
Samuel KounevProfessor of Computer Science, University of WürzburgVerified email at uni-wuerzburg.de
Helena StegherrUniversität AugsburgVerified email at informatik.uni-augsburg.de
Matthias SommerAraCom IT ServicesVerified email at aracom.de

Anthony Stein

Artificial Intelligence in Agricultural Engineering, University of Hohenheim

Verified email at uni-hohenheim.de

Learning Classifier Systems Evolutionary Machine Learning RL Organic Computing Intelligent Agricultural Technology


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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	39	2020
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	37	2018
Interpolation in the eXtended Classifier System: An Architectural Perspective A Stein, D Rauh, S Tomforde, J Hähner Journal of Systems Architecture, 2017	34	2017
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
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	25	2020
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
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	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
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	23	2018
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	23	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	20	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	17	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	17	2019
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	15	2020
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	15	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	15*	2020
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	14	2017
Self-Learning Smart Cameras -- Harnessing the Generalization Capability of XCS A Stein, S Rudolph, S Tomforde, J Hähner 9th International Joint Conference on Computational Intelligence, 129-140, 2017	14	2017
Reaction Learning A Stein Organic Computing -- Technical Systems for Survival in the Real World …, 2017	13	2017
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	13	2016

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