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 | 33 | 2003 |
A genetic approach to data dimensionality reduction using a special initial population MB Tümer, MC Demir international Work-Conference on the Interplay between natural and …, 2005 | 9 | 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 | 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 |
Hierarchical reinforcement learning with context detection (hrl-cd) YE Yücesoy, MB Tümer International Journal of Machine Learning and Computing 5 (5), 353, 2015 | 4 | 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 | 2 | 2017 |
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 | 2 | 1999 |
Multivariate Time Series Clustering and its Application in Industrial Systems BG Sürmeli, MB Tümer Cybernetics and Systems 51 (3), 315-334, 2020 | 1 | 2020 |
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 | 1 | 2006 |
Cycle detection in noisy signals by constructive automata: An adaptive syntactic approach to pattern recognition A Ustimov Marmara Üniversitesi, 2006 | 1 | 2006 |
Signal compression using growing cell structures: A transformational approach B Tümer, B Demiröz International Symposium on Computer and Information Sciences, 952-959, 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 |
Multi-class categorization of user-generated content in a domain specific medium: Inferring product specifications from e-commerce marketplaces M Kıraç, MB Tümer, K Toprak Uçar | | 2020 |
CSE4197 Engineering Project I PROJECT SPECIFICATION DOCUMENT MB Tümer Group, 2019 | | 2019 |
Multi-class categorization of user-generated content in a domain specific medium: inferring product specifications from e-commerce marketplaces KT Uçar, MB Tümer, M Kıraç International Conference on Intelligent and Fuzzy Systems, 247-256, 2019 | | 2019 |
USING HIERARCHIES IN REINFORCEMENT LEARNING FRAMEWORK WITH NON-STATIONARY ENVIRONMENTS 04.11. 2016 MB TÜMER | | 2016 |
A heteregeneous multi agent intelligent player for a real-time strategy game MC Kurt Marmara Üniversitesi, 2010 | | 2010 |
Development of an autonomous sailor: an application of hierarchical reinforcement learning to sailing H Şencan Marmara Üniversitesi, 2009 | | 2009 |
A methodology for constructive development of a syntactic pattern recognition machine (SPRM) using reinforcement learning principles F Geleri Marmara Üniversitesi, 2008 | | 2008 |