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Anthony Stein
Anthony Stein
Artificial Intelligence in Agricultural Engineering, University of Hohenheim
Verified email at uni-hohenheim.de
Title
Cited by
Cited by
Year
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
562020
Interpolation in the eXtended Classifier System: An Architectural Perspective
A Stein, D Rauh, S Tomforde, J Hähner
Journal of Systems Architecture, 2017
412017
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
402018
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
342020
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
322018
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
292016
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
262017
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
242018
A Survey of Formal Theoretical Advances Regarding XCS
D Pätzel, A Stein, J Hähner
Genetic and Evolutionary Computation Conference (GECCO 2019) Companion, 2019
232019
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
222017
Interpolation-based Classifier Generation in XCSF
A Stein, C Eymüller, D Rauh, S Tomforde, J Hähner
IEEE Congress on Evolutionary Computation, 3990-3998, 2016
222016
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
202020
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
192021
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
192020
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
192019
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
162020
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
152016
Reaction Learning
A Stein
Organic Computing -- Technical Systems for Survival in the Real World …, 2017
142017
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