Optimizing Individualized Treatment Planning for Parkinson's Disease Using Deep Reinforcement Learning. - Jeremy Watts; Anahita Khojandi; Rama K. Vasudevan; Ritesh A. Ramdhani (EMBC, 2020)

Improving Medication Regimen Recommendation for Parkinson's Disease Using Sensor Technology. - Jeremy Watts; Anahita Khojandi; Rama K. Vasudevan; Fatta B. Nahab; Ritesh A. Ramdhani (Sensors, 2021)

Adapting Random Forests to Predict Obesity-Associated Gene Expression. - Jeremy Watts; Elexis Allen; Ahmad Mitoubsi; Anahita Khojandi; James Eales; Farideh Jalali-najafabadi; Theodore Papamarkou (EMBC, 2022)

A Dynamic Deep Reinforcement Learning-Bayesian Framework for Anomaly Detection. - Jeremy Watts; Franco van Wyk; Shahrbanoo Rezaei; Yiyang Wang 002; Neda Masoud; Anahita Khojandi (IEEE Trans. Intell. Transp. Syst., 2022)

Towards Faster Gene Expression Prediction via Dimensionality Reduction and Feature Selection. - Jeremy Watts; Elexis Allen; Ahmad Mitoubsi; Anahita Khojandi; James Eales; Theodore Papamarkou (EMBC, 2023)

Differential Responses to Low- and High-Frequency Subthalamic Nucleus Deep Brain Stimulation on Sensor-Measured Components of Bradykinesia in Parkinson's Disease. - Akash Mishra; Vikram Bajaj; Toni Fitzpatrick; Jeremy Watts; Anahita Khojandi; Ritesh A. Ramdhani (Sensors, 2024)