Refereed Journal Articles

1. Tumer B., and Demir M., “An Adaptive Signal Compression System with Pre-specified Reconstruction Quality and Compression Rate,” Computer Methods and Programs in Biomedicine, v 81 n 2 pp 99-105, February 2006
2. Tumer M. B., Belfore L. A., II and Ropella K.M., “A Syntactic Methodology for Automatic Diagnosis by Analysis of Continuous Time Measurements Using Hierarchical Signal Representations,” IEEE Transactions on Systems, Man and Cybernetics B, vol. 33, no 6, pp 951-966, December 2003

Refereed National/International Proceedings Articles

1. Yücesoy Y.E., and Tümer M.B., “Hierarchical Reinforcement Learning with Context Detection (HRL-CD),” International Journal of Machine Learning and Computing, Vol. 5, No: 5 (Oct. 2015), p. 353-358
2. Ustimov, A., Tümer, M.B. and Güngör, T., “A Low-Complexity Constructive Learning Automaton Approach to Handwritten Character Recognition,” Research in Computing Science, Special Issue: Natural Language Processing and its Applications, ed. Alexander Gelbukh, Vol. 46, p.311-322, 11th Int. Conf. on Intelligent Text Processing and Computational Linguistics (CICLing), 2010, Iaşi, Romenia
3. Ustimov A., ve Tumer B., “Construction of a Learning Automaton for Cycle Detection in Noisy Data Seqeuences,” Proc. 20th Int. Symposium on Computer and Information Sciences (ISCIS-2005), Istanbul, Turkey, vol. LNCS3733, pp 543-552, October 2005
4. Tumer B., and Demir M., “A Genetic Approach to Data Dimensionality Reduction Using a Special Initial Population,” Proc. 1st Int. Work-Conference on the Interplay between Natural and Artificial Computation (IWINAC-2005), Las Palmas G.C., Spain, vol. LNCS3562, 310-316, 2005
5. Tumer B. and Demiröz B., “ Signal Compression Using Growing Cell Structures: A Transformational Approach,” Proc. 18th Int. Symposium on Computer and Information Sciences (ISCIS-2003), Antalya, Turkey, vol. LNCS2869, pp 952-959, November 2003
6. Tumer M. B, Belfore L. A., II, and Ropella K. M., “A Diagnosis Methodology for Continuous Time Measurements using Hierarchical Signal Representations,” 1998 IEEE International Conference on Systems, Man and Cybernetics, pp. 3038-3043, San Diego, CA, October 1998
7. Tumer M. B, Belfore L. A., II, and Ropella K. M., “Applying Hierarchical Fuzzy Automatons to Automatic Diagnosis,” 1998 Conference of the North American Fuzzy Information Processing Society, pp. 315-319, Pensacola, FL, August 1998

Other Activities

1. Y. Usta, M.C. Demir, M. Yaman and B. Tümer, “Demand Forecasting via Learning Automata,” XXIII. Conference on Operational Research and Industrial Engineering (YAEM2002), Yeditepe University, Istanbul, Türkiye (in Turkish)