Recurrent neural networks based online learning algorithms for distributed systems. - Tolga Ergen; Safa Onur Sahin; Suleyman Serdar Kozat (SIU, 2018)

Sequential Regression with Missing Data Using LSTM Networks. - Safa Onur Sahin (SIU, 2019)

Nonuniformly Sampled Data Processing Using LSTM Networks. - Safa Onur Sahin; Suleyman Serdar Kozat (IEEE Trans. Neural Networks Learn. Syst., 2019)

A Generalized Circle Agent Based on the Deep Reinforcement Learning for the Game of Geometry Friends. - Safa Onur Sahin; Veysel Yücesoy (SIU, 2020)

A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data. - Safa Onur Sahin; Suleyman Serdar Kozat (CoRR, 2020)

Reinforcement Learning Algorithms Performance Comparison on the Game of DeepRTS. - Safa Onur Sahin; Veysel Yücesoy (SIU, 2021)

The Performance Comparison of Different Training Strategies for Reinforcement Learning on DeepRTS. - Safa Onur Sahin; Veysel Yücesoy (SIU, 2022)

Improving Experience Replay Architecture with K-Means Clustering. - Sanberk Serbest; Ahmet Semih Tasbas; Safa Onur Sahin (SIU, 2023)

Autonomous Air Combat with Reinforcement Learning under Different Noise Conditions. - Ahmet Semih Tasbas; Sanberk Serbest; Safa Onur Sahin; Nazim Kemal Üre (SIU, 2023)

Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment. - Ahmet Semih Tasbas; Safa Onur Sahin; Nazim Kemal Ure (CoRR, 2023)

Nonlinear Regression With Hierarchical Recurrent Neural Networks Under Missing Data. - Safa Onur Sahin; Suleyman S. Kozat (IEEE Trans. Artif. Intell., 2024)

An end-to-end optimized feature specific data imputation for recurrent neural networks under missing data. - Safa Onur Sahin; Suleyman Serdar Kozat (Digit. Signal Process., 2025)