Borahan Tümer

Akademik Profiller

1. 1
   Incremental learning of spatio-temporal Markov chains: An introductory theoretical framework for composite domain Markov chainsInformation Sciences
   2025
2. 2
   Autonomous acquisition of arbitrarily complex skills using locality based graph theoretic features: a syntactic approach to hierarchical reinforcement learningEvolving Systems
   2023
3. 3
   Learning under concept drift and non-stationary noise: Introduction of the concept of persistenceEngineering Applications of Artificial Intelligence
   2023
4. 4
   An AI-based Architecture Framework for Improving End-of-line Reliability Tests of Electric MotorsIECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
   2022
5. 5
   An adaptive estimation method with exploration and exploitation modes for non-stationary environmentsPattern Recognition
   2022
6. 6
   Intelligent software debugging: A reinforcement learning approach for detecting the shortest crashing scenariosExpert Systems with Applications
   2022
7. 7
   Context Detection and Identification in Multi-Agent Reinforcement Learning on Non-Stationary EnvironmentsSSRN
   2022
8. 8
   Multivariate Time Series Clustering and its Application in Industrial SystemsCybernetics and Systems
   2020
9. 9
   Multi-class Categorization of User-Generated Content in a Domain Specific Medium: Inferring Product Specifications from E-Commerce MarketplacesIntelligent and Fuzzy Techniques in Big Data Analytics and Decision Making
   2020

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