Text Mining to Decipher Free-Response Consumer Complaints: Insights From the NHTSA Vehicle Owner's Complaint Database. - Mahtab Ghazizadeh; Anthony D. McDonald; John D. Lee (Hum. Factors, 2014)

Steering in a Random Forest: Ensemble Learning for Detecting Drowsiness-Related Lane Departures. - Anthony D. McDonald; John D. Lee; Chris Schwarz 001; Timothy L. Brown (Hum. Factors, 2014)

Using kinematic driving data to detect sleep apnea treatment adherence. - Anthony D. McDonald; John D. Lee; Nazan Aksan; Jeffrey D. Dawson; Jon Tippin; Matthew Rizzo (J. Intell. Transp. Syst., 2017)

Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures. - Anthony D. McDonald; Hananeh Alambeigi; Johan Engström; Gustav Markkula; Tobias Vogelpohl; Jarrett Dunne; Norbert Yuma (Hum. Factors, 2019)

Classification of Driver Distraction: A Comprehensive Analysis of Feature Generation, Machine Learning, and Input Measures. - Anthony D. McDonald; Thomas K. Ferris; Tyler A. Wiener (Hum. Factors, 2020)

Posttraumatic Stress Disorder Hyperarousal Event Detection Using Smartwatch Physiological and Activity Data. - Mahnoosh Sadeghi; Anthony D. McDonald; Farzan Sasangohar (CoRR, 2021)

Investigating the Perceived Precision and validity of a Field-Deployable Machine Learning-based Tool to Detect Post-Traumatic Stress Disorder (PTSD) Hyperarousal Events. - Mahnoosh Sadeghi; Farzan Sasangohar; Anthony D. McDonald (CoRR, 2021)

World Model Learning from Demonstrations with Active Inference: Application to Driving Behavior. - Ran Wei; Alfredo García 001; Anthony D. McDonald; Gustav Markkula; Johan Engström; Isaac Supeene; Matthew O'Kelly (IWAI, 2022)

Understanding Heart Rate Reactions to Post-Traumatic Stress Disorder (PTSD) Among Veterans: A Naturalistic Study. - Mahnoosh Sadeghi; Farzan Sasangohar; Anthony D. McDonald; Sudeep Hegde (Hum. Factors, 2022)

Modeling Driver Responses to Automation Failures With Active Inference. - Ran Wei; Anthony D. McDonald; Alfredo García 001; Hananeh Alambeigi (IEEE Trans. Intell. Transp. Syst., 2022)

A Bayesian Approach to Robust Inverse Reinforcement Learning. - Ran Wei; Siliang Zeng; Chenliang Li; Alfredo García 001; Anthony D. McDonald; Mingyi Hong 001 (CoRL, 2023)

An active inference model of car following: Advantages and applications. - Ran Wei; Anthony D. McDonald; Alfredo García 001; Gustav Markkula; Johan Engström; Matthew O'Kelly (CoRR, 2023)

Evaluating Mental Stress Among College Students Using Heart Rate and Hand Acceleration Data Collected from Wearable Sensors. - Moein Razavi; Anthony D. McDonald; Ranjana K. Mehta; Farzan Sasangohar (CoRR, 2023)

Predicting Procedure Step Performance From Operator and Text Features: A Critical First Step Toward Machine Learning-Driven Procedure Design. - Anthony D. McDonald; Nilesh Ade; S. Camille Peres (Hum. Factors, 2023)

Stress Detection During Motor Activity: Comparing Neurophysiological Indices in Older Adults. - Rohith Karthikeyan; Anthony D. McDonald; Ranjana K. Mehta (IEEE Trans. Affect. Comput., 2023)

A Bayesian Regression Analysis of the Effects of Alert Presence and Scenario Criticality on Automated Vehicle Takeover Performance. - Hananeh Alambeigi; Anthony D. McDonald (Hum. Factors, 2023)

Resolving uncertainty on the fly: modeling adaptive driving behavior as active inference. - Johan Engström; Ran Wei; Anthony D. McDonald; Alfredo García 001; Matthew O'Kelly; Leif Johnson (Frontiers Neurorobotics, 2024)

A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning. - Ran Wei; Nathan Lambert 001; Anthony D. McDonald; Alfredo García 001; Roberto Calandra (Trans. Mach. Learn. Res., 2024)

Active Inference Models of AV Takeovers: Relating Model Parameters to Trust, Situation Awareness, and Fatigue. - Ran Wei; Anthony D. McDonald; Ranjana K. Mehta; Alfredo García 001 (Hum. Factors, 2025)

Real-Time Stress Monitoring, Detection, and Management in College Students: A Wearable Technology and Machine-Learning Approach. - Alan Ta; Nilsu Salgin; Mustafa Demir; Kala Phillips Reindel; Ranjana K. Mehta; Anthony D. McDonald; Carly McCord; Farzan Sasangohar (CoRR, 2025)

Learning an Active Inference Model of Driver Perception and Control: Application to Vehicle Car-Following. - Ran Wei; Alfredo García 001; Anthony D. McDonald; Gustav Markkula; Johan Engström; Matthew O'Kelly (IEEE Trans. Intell. Transp. Syst., 2025)