| Detection of regime switching points in non-stationary sequences using stochastic learning based weak estimation method E Aslanci, K Coşkun, P Schüller, B Tümer 2017 IEEE 15th International Conference on Industrial Informatics (INDIN …, 2017 | 5 | 2017 |
| Using Hierarchies in Reinforcement Learning Framework with Non-Stationary Environments K Coşkun, E Aslancı Marmara University, Faculty of Engineering, Computer Science & Engineering, 2017 | 2 | 2017 |
| An AI-based Architecture Framework for Improving End-of-line Reliability Tests of Electric Motors M Soytürk, K Coşkun, O İzmitlioğlu, B Tümer, D Güneş, S Saraçoğlu, ... IECON 2022–48th Annual Conference of the IEEE Industrial Electronics Society …, 2022 | 1 | 2022 |
| An adaptive estimation method with exploration and exploitation modes for non-stationary environments K Coşkun, B Tümer Pattern Recognition 129, 108702, 2022 | 1 | 2022 |
| Autonomous acquisition of arbitrarily complex skills using locality based graph theoretic features: a syntactic approach to hierarchical reinforcement learning Z Kumralbaş, SH Çavuş, K Coşkun, B Tümer Evolving Systems 14 (6), 957-980, 2023 | | 2023 |
| Learning under concept drift and non-stationary noise: Introduction of the concept of persistence K Coşkun, B Tümer Engineering Applications of Artificial Intelligence 123, 106363, 2023 | | 2023 |
| A Syntactic Pattern Recognition Based Approach to Online Anomaly Detection and Identification on Electric Motors K Coşkun, Z Kumralbaş, H Çavuş, B Tümer DAGM German Conference on Pattern Recognition, 116-132, 2022 | | 2022 |
M. Borahan TümerComputer Engineering Department, Engineering Faculty, Marmara UniversityVerified email at marmara.edu.tr
