On the Analysis of Parameter Convergence for Temporal Difference Learning of an Exemplar Balance Problem. - Martin Brown; Onder Tutsoy (TAROS, 2011)

Cpg Based RL Algorithm Learns to Control of a humanoid robot leg. - Önder Tutsoy (Int. J. Robotics Autom., 2015)

Adaptive estimator design for unstable output error systems: A test problem and traditional system identification based analysis. - Onder Tutsoy; Sule Colak (J. Syst. Control. Eng., 2015)

An analysis of value function learning with piecewise linear control. - Onder Tutsoy; Martin Brown (J. Exp. Theor. Artif. Intell., 2016)

Design and Implementation of a Facial Character Analysis Algorithm for Humanoid Robots. - Fatma Göngör; Önder Tutsoy (Robotica, 2019)

A Novel Parametric Model for the Prediction and Analysis of the COVID-19 Casualties. - Onder Tutsoy; Sule Colak; Adem Polat; Kemal Balikci (IEEE Access, 2020)

Development of a Multi-Dimensional Parametric Model With Non-Pharmacological Policies for Predicting the COVID-19 Pandemic Casualties. - Onder Tutsoy; Adem Polat; Sule Colak; Kemal Balikci (IEEE Access, 2020)

COVID-19 Epidemic and Opening of the Schools: Artificial Intelligence-Based Long-Term Adaptive Policy Making to Control the Pandemic Diseases. - Onder Tutsoy (IEEE Access, 2021)

Unknown uncertainties in the COVID-19 pandemic: Multi-dimensional identification and mathematical modelling for the analysis and estimation of the casualties. - Onder Tutsoy; Kemal Balikci; Naime Filiz Ozdil (Digit. Signal Process., 2021)

Doctor Robots: Design and Implementation of a Heart Rate Estimation Algorithm. - Fatma Göngör; Onder Tutsoy (Int. J. Soc. Robotics, 2022)

Priority and age specific vaccination algorithm for the pandemic diseases: a comprehensive parametric prediction model. - Onder Tutsoy; Mahmud Yusuf Tanrikulu (BMC Medical Informatics Decis. Mak., 2022)

Pharmacological, Non-Pharmacological Policies and Mutation: An Artificial Intelligence Based Multi-Dimensional Policy Making Algorithm for Controlling the Casualties of the Pandemic Diseases. - Onder Tutsoy (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Novel Exploration-Exploitation-Based Adaptive Law for Intelligent Model-Free Control Approaches. - Onder Tutsoy; Duygun Erol Barkana; Kemal Balikci (IEEE Trans. Cybern., 2023)

Robust Reduced Order Thau Observer With the Adaptive Fault Estimator for the Unmanned Air Vehicles. - Onder Tutsoy; Davood Asadi; Karim Ahmadi; Seyed-Yaser Nabavi-Chashmi (IEEE Trans. Veh. Technol., 2023)

Graph Theory Based Large-Scale Machine Learning With Multi-Dimensional Constrained Optimization Approaches for Exact Epidemiological Modeling of Pandemic Diseases. - Onder Tutsoy (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A novel deep machine learning algorithm with dimensionality and size reduction approaches for feature elimination: thyroid cancer diagnoses with randomly missing data. - Onder Tutsoy; Hilmi Erdem Sumbul (Briefings Bioinform., 2024)

Minimum Distance and Minimum Time Optimal Path Planning With Bioinspired Machine Learning Algorithms for Faulty Unmanned Air Vehicles. - Onder Tutsoy; Davood Asadi; Karim Ahmadi; Seyed-Yaser Nabavi-Chashmi; Jamshed Iqbal (IEEE Trans. Intell. Transp. Syst., 2024)

Deep self-supervised machine learning algorithms with a novel feature elimination and selection approaches for blood test-based multi-dimensional health risks classification. - Onder Tutsoy; Gizem Gul Koç (BMC Bioinform., 2024)

On the Remarkable Advancement of Assistive Robotics in Human-Robot Interaction-Based Health-Care Applications: An Exploratory Overview of the Literature. - Fatma Göngör; Onder Tutsoy (Int. J. Hum. Comput. Interact., 2025)

A comprehensive benchmark of machine learning-based algorithms for medium-term electric vehicle charging demand prediction. - Ömer Can Tolun; Kasim Zor; Onder Tutsoy (J. Supercomput., 2025)