General 2-step Fibonacci sequences in nilpotent groups of exponent p and nilpotency class 4. - Erdal Karaduman; Hüseyin Aydin (Appl. Math. Comput., 2003)

Applications of Fibonacci sequences in a finite nilpotent group. - Engin Özkan; Hüseyin Aydin; Ramazan Dikici (Appl. Math. Comput., 2003)

3-Step Fibonacci series modulo m. - Engin Özkan; Hüseyin Aydin; Ramazan Dikici (Appl. Math. Comput., 2003)

Computation of abstract groups S((d + 1)/2, d) and torus knots K(d, 2). - Nurullah Ankaralioglu; Hüseyin Aydin; Inci Gültekin (Appl. Math. Comput., 2005)

k-nacci sequences in some special groups of finite order. - Erdal Karaduman; Hüseyin Aydin (Math. Comput. Model., 2009)

Using Transitional Bottlenecks to Improve Learning in Nearest Sequence Memory Algorithm. - Hüseyin Aydin; Erkin Çilden; Faruk Polat (ICTAI, 2017)

Design of a String-Encoder and IMU Based 6D Pose Measurement System. - Ekrem Yavuz; Yavuz Senol; Merih Özçelik; Hüseyin Aydin (ECAI, 2019)

Compact Frequency Memory for Reinforcement Learning with Hidden States. - Hüseyin Aydin; Erkin Çilden; Faruk Polat (PRIMA, 2019)

Design of a String Encoder-and-IMU-Based 6D Pose Measurement System for a Teaching Tool and Its Application in Teleoperation of a Robot Manipulator. - Ekrem Yavuz; Yavuz Senol; Merih Özçelik; Hüseyin Aydin (J. Sensors, 2021)

Using chains of bottleneck transitions to decompose and solve reinforcement learning tasks with hidden states. - Hüseyin Aydin; Erkin Çilden; Faruk Polat (Future Gener. Comput. Syst., 2022)

Using frequencies of transitions to improve reinforcement learningwith hidden states (Saklı durumlu pekiştirmeli öğrenmeyi geliştirmek için geçişlerinfrekanslarının kullanımı) - Hüseyin Aydin (2022)

Assisting Users in Privacy Conflicts with Partially Observable Multi-Agent Reinforcement Learning. - Hüseyin Aydin (HHAI, 2024)

Potential-based reward shaping using state-space segmentation for efficiency in reinforcement learning. - Melis Ilayda Bal; Hüseyin Aydin; Cem Iyigün; Faruk Polat (Future Gener. Comput. Syst., 2024)

Mitigating Value Conflicts with Computational Theory of Mind. - Emre Erdogan; Hüseyin Aydin; Frank Dignum; Rineke Verbrugge; Pinar Yolum (AAMAS, 2025)

SHARPIE: A Modular Framework for Reinforcement Learning and Human-AI Interaction Experiments. - Hüseyin Aydin; Kevin Godin-Dubois; Libio Goncalvez Braz; Floris den Hengst; Kim Baraka; Mustafa Mert Çelikok; Andreas Sauter; Shihan Wang 001; Frans A. Oliehoek (CoRR, 2025)

Analyzing Privacy Dynamics within Groups using Gamified Auctions. - Hüseyin Aydin; Onuralp Ulusoy; Ilaria Liccardi; Pinar Yolum (CoRR, 2025)

Population-based exploration in reinforcement learning through repulsive reward shaping using eligibility traces. - Melis Ilayda Bal; Cem Iyigun; Faruk Polat; Hüseyin Aydin (Ann. Oper. Res., 2025)