Borahan Tümer

According to our database, Borahan Tümer authored at least 16 papers between 1998 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Autonomous acquisition of arbitrarily complex skills using locality based graph theoretic features: a syntactic approach to hierarchical reinforcement learning.

Zeynep Kumralbas, Hazel Çavus, Kutalmis Coskun, Borahan Tümer

Evol. Syst., December, 2023

Learning under concept drift and non-stationary noise: Introduction of the concept of persistence.

Kutalmis Coskun, Borahan Tümer

Eng. Appl. Artif. Intell., 2023

2022

An adaptive estimation method with exploration and exploitation modes for non-stationary environments.

Kutalmis Coskun, M. Borahan Tümer

Pattern Recognit., 2022

Intelligent software debugging: A reinforcement learning approach for detecting the shortest crashing scenarios.

Engin Durmaz, M. Borahan Tümer

Expert Syst. Appl., 2022

Context Detection and Identification In Multi-Agent Reinforcement Learning With Non-Stationary Environment.

Ekrem Talha Selamet, Borahan Tümer

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

An AI-based Architecture Framework for Improving End-of-line Reliability Tests of Electric Motors.

Müjdat Soytürk, Kutalmis Coskun, Onur Izmitlioglu, Borahan Tümer, Deniz Günes, Sinan Saraçoglu, Baris Bulut, Hasan Burak Ketmen, Ismethan Hanedar, Tasemir Asan, Eray Aydin

Proceedings of the IECON 2022, 2022

A Syntactic Pattern Recognition Based Approach to Online Anomaly Detection and Identification on Electric Motors.

Kutalmis Coskun, Zeynep Kumralbas, Hazel Çavus, Borahan Tümer

Proceedings of the Pattern Recognition, 2022

2020

Multivariate Time Series Clustering and its Application in Industrial Systems.

Baris Gün Sürmeli, M. Borahan Tümer

Cybern. Syst., 2020

2017

Unsupervised mode detection in cyber-physical systems using variable order Markov models.

Baris Gün Sürmeli, Feyza Eksen, Bilal Dinc, Peter Schüller, M. Borahan Tümer

Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

Detection of regime switching points in non-stationary sequences using stochastic learning based weak estimation method.

Ezdin Aslanci, Kutalmis Coskun, Peter Schüller, M. Borahan Tümer

Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

2006

An adaptive signal compression system with pre-specified reconstruction quality and compression rate.

M. Borahan Tümer, Mert C. Demir

Comput. Methods Programs Biomed., 2006

2005

A Genetic Approach to Data Dimensionality Reduction Using a Special Initial Population.

M. Borahan Tümer, Mert C. Demir

Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Construction of a Learning Automaton for Cycle Detection in Noisy Data Sequences.

Aleksei Ustimov, M. Borahan Tümer

Proceedings of the Computer and Information Sciences, 2005

2003

A syntactic methodology for automatic diagnosis by analysis of continuous time measurements using hierarchical signal representations.

M. Borahan Tümer, Lee A. Belfore II, Kristina M. Ropella

IEEE Trans. Syst. Man Cybern. Part B, 2003

Signal Compression Using Growing Cell Structures: A Transformational Approach.

M. Borahan Tümer, Betül Demiröz

Proceedings of the Computer and Information Sciences, 2003

1998

A diagnosis methodology for continuous time measurements using hierarchical signal representations.

M. Borahan Tümer, Lee A. Belfore II, Kristina M. Ropella

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998