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)

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)

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)

Informed, but Not Always Improved: Challenging the Benefit of Background Knowledge in GNNs. - Kutalmis Coskun; Ivo Kavisanczki; Amin Mirzaei; Tom Siegl; Bjarne C. Hiller; Stefan Lüdtke; Martin Becker (CoRR, 2025)

SubROC: AUC-Based Discovery of Exceptional Subgroup Performance for Binary Classifiers. - Tom Siegl; Kutalmis Coskun; Bjarne Hiller; Amin Mirzaei; Florian Lemmerich; Martin Becker (CoRR, 2025)