A diagnosis methodology for continuous time measurements using hierarchical signal representations. - M. Borahan Tümer; Lee A. Belfore II; Kristina M. Ropella (SMC, 1998)

Signal Compression Using Growing Cell Structures: A Transformational Approach. - M. Borahan Tümer; Betül Demiröz (ISCIS, 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)

Construction of a Learning Automaton for Cycle Detection in Noisy Data Sequences. - Aleksei Ustimov; M. Borahan Tümer (ISCIS, 2005)

A Genetic Approach to Data Dimensionality Reduction Using a Special Initial Population. - M. Borahan Tümer; Mert C. Demir (IWINAC (2), 2005)

An adaptive signal compression system with pre-specified reconstruction quality and compression rate. - M. Borahan Tümer; Mert C. Demir (Comput. Methods Programs Biomed., 2006)

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 (INDIN, 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 (INDIN, 2017)

Multivariate Time Series Clustering and its Application in Industrial Systems. - Baris Gün Sürmeli; M. Borahan Tümer (Cybern. Syst., 2020)

A Syntactic Pattern Recognition Based Approach to Online Anomaly Detection and Identification on Electric Motors. - Kutalmis Coskun; Zeynep Kumralbas; Hazel Çavus; Borahan Tümer (GCPR, 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 (IECON, 2022)

Context Detection and Identification In Multi-Agent Reinforcement Learning With Non-Stationary Environment. - Ekrem Talha Selamet; Borahan Tümer (SIU, 2022)

Intelligent software debugging: A reinforcement learning approach for detecting the shortest crashing scenarios. - Engin Durmaz; M. Borahan Tümer (Expert Syst. Appl., 2022)

An adaptive estimation method with exploration and exploitation modes for non-stationary environments. - Kutalmis Coskun; M. Borahan Tümer (Pattern Recognit., 2022)

Learning under concept drift and non-stationary noise: Introduction of the concept of persistence. - Kutalmis Coskun; Borahan Tümer (Eng. Appl. Artif. Intell., 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., 2023)

Evolving Markov Chains: Unsupervised Mode Discovery and Recognition from Data Streams. - Kutalmis Coskun; Borahan Tümer; Bjarne C. Hiller; Martin Becker (CoRR, 2024)