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 | 52 | 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 | 40 | 2018 |
Interpolation in the eXtended Classifier System: An Architectural Perspective A Stein, D Rauh, S Tomforde, J Hähner Journal of Systems Architecture, 2017 | 39 | 2017 |
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 | 30 | 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 | 29 | 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 | 25 | 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 | 23 | 2018 |
A Survey of Formal Theoretical Advances Regarding XCS D Pätzel, A Stein, J Hähner Genetic and Evolutionary Computation Conference (GECCO 2019) Companion, 2019 | 22 | 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 | 21 | 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 | 21 | 2016 |
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 |
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 | 18 | 2020 |
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 | 16 | 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 | 15 | 2021 |
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 | 14 | 2020 |
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 |
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 | 14 | 2016 |