Anthony Stein
Anthony Stein
AI in Agricultural Engineering | Computational Science Lab University of Hohenheim
Bestätigte E-Mail-Adresse bei uni-hohenheim.de
Titel
Zitiert von
Zitiert von
Jahr
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
252018
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
19*2016
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
182016
Interpolation in the eXtended Classifier System: An Architectural Perspective
A Stein, D Rauh, S Tomforde, J Hähner
Journal of Systems Architecture (Link to free full-text version, available …, 2017
172017
Interpolation-based Classifier Generation in XCSF
A Stein, C Eymüller, D Rauh, S Tomforde, J Hähner
IEEE Congress on Evolutionary Computation, 3990-3998, 2016
142016
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
122018
A Survey of Formal Theoretical Advances Regarding XCS
D Pätzel, A Stein, J Hähner
Genetic and Evolutionary Computation Conference (GECCO 2019) Companion, 2019
112019
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
112016
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
92019
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
92017
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
82018
Reaction Learning
A Stein
Organic Computing -- Technical Systems for Survival in the Real World …, 2017
82017
Ensemble time series forecasting with xcsf
M Sommer, A Stein, J Hähner
2016 IEEE 10th International Conference on Self-Adaptive and Self-Organizing …, 2016
72016
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
62017
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
32020
Bootstrapping a DQN Replay Memory with Synthetic Experiences
W Pilar von Pilchau, J Stein, Anthony, Hähner
Proceedings of the 12th International Joint Conference on Computational …, 2020
3*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
22020
Machine Learning in Organic Computing: A Brief Clarification of Terms and Concepts
M Bieshaar, A Calma, C Gruhl, S Rudolph, A Stein
Organic Computing Doctoral Dissertation Colloquium 2016, 2017
22017
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
12020
Learning classifier systems: from principles to modern systems
A Stein, M Nakata
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
12020
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