| A syntactic methodology for automatic diagnosis by analysis of continuous time measurements using hierarchical signal representations MB Tumer, LA Belfore, KM Ropella IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 33 …, 2003 | 37 | 2003 |
| Multivariate time series clustering and its application in industrial systems BG Sürmeli, MB Tümer Cybernetics and Systems 51 (3), 315-334, 2020 | 13 | 2020 |
| A genetic approach to data dimensionality reduction using a special initial population MB Tümer, MC Demir Artificial Intelligence and Knowledge Engineering Applications: A …, 2005 | 11 | 2005 |
| Unsupervised mode detection in cyber-physical systems using variable order Markov models BG Sürmeli, F Eksen, B Dinç, P Schüller, B Tümer 2017 IEEE 15th International Conference on Industrial Informatics (INDIN …, 2017 | 9 | 2017 |
| Hierarchical reinforcement learning with context detection (hrl-cd) YE Yücesoy, MB Tümer International Journal of Machine Learning and Computing 5 (5), 353, 2015 | 6 | 2015 |
| 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 |
| Applying hierarchical fuzzy automatons to automatic diagnosis MB Tumer, LA Belfore, KM Ropella 1998 Conference of the North American Fuzzy Information Processing Society …, 1998 | 5 | 1998 |
| Intelligent software debugging: A reinforcement learning approach for detecting the shortest crashing scenarios E Durmaz, MB Tümer Expert Systems with Applications 198, 116722, 2022 | 3 | 2022 |
| Multi-class categorization of user-generated content in a domain specific medium: inferring product specifications from e-commerce marketplaces K Toprak Uçar, MB Tümer, M Kıraç Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making …, 2020 | 3 | 2020 |
| An adaptive estimation method with exploration and exploitation modes for non-stationary environments K Coşkun, B Tümer Pattern Recognition 129, 108702, 2022 | 2 | 2022 |
| An adaptive signal compression system with pre-specified reconstruction quality and compression rate MB Tümer, MC Demir Computer methods and programs in biomedicine 81 (2), 99-105, 2006 | 2 | 2006 |
| Construction of a learning automaton for cycle detection in noisy data sequences A Ustimov, B Tümer International Symposium on Computer and Information Sciences, 543-552, 2005 | 2 | 2005 |
| A fuzzy syntactic approach to fault diagnostics by analysis of time-sampled signals MB Tumer Marquette University, 1998 | 2 | 1998 |
| 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 | 1 | 2023 |
| 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 |
| 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 | 1 | 2022 |
| Cycle detection in noisy signals by constructive automata: An adaptive syntactic approach to pattern recognition A Ustimov PQDT-Global, 2006 | 1 | 2006 |
| Signal compression using growing cell structures: A transformational approach B Tümer, B Demiröz Computer and Information Sciences-ISCIS 2003: 18th International Symposium …, 2003 | 1 | 2003 |
| A diagnosis methodology for continuous time measurements using hierarchical signal representations MB Tumer, LA Belfore, KM Ropella SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems …, 1998 | 1 | 1998 |
| Incremental Learning of Spatio-temporal Markov Chains: an Introductory Theoretical Framework for Composite Domain Markov Chains Z Kumralbaş, B Tümer | | 2024 |
Kristina RopellaProfessor, Marquette UniversityПотвърден имейл адрес: marquette.edu
