Anthony D. McDonald

According to our database, Anthony D. McDonald authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning.

Ran Wei, Nathan Lambert, Anthony D. McDonald, Alfredo García, Roberto Calandra

Trans. Mach. Learn. Res., 2024

Resolving uncertainty on the fly: modeling adaptive driving behavior as active inference.

Johan Engström, Ran Wei, Anthony D. McDonald, Alfredo García, Matthew O'Kelly, Leif Johnson

Frontiers Neurorobotics, 2024

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, March, 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

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

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

An active inference model of car following: Advantages and applications.

Ran Wei, Anthony D. McDonald, Alfredo García, Gustav Markkula, Johan Engström, Matthew O'Kelly

CoRR, 2023

A Bayesian Approach to Robust Inverse Reinforcement Learning.

Ran Wei, Siliang Zeng, Chenliang Li, Alfredo García, Anthony D. McDonald, Mingyi Hong

Proceedings of the Conference on Robot Learning, 2023

2022

Modeling Driver Responses to Automation Failures With Active Inference.

Ran Wei, Anthony D. McDonald, Alfredo García, Hananeh Alambeigi

IEEE Trans. Intell. Transp. Syst., 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

World Model Learning from Demonstrations with Active Inference: Application to Driving Behavior.

Ran Wei, Alfredo García, Anthony D. McDonald, Gustav Markkula, Johan Engström, Isaac Supeene, Matthew O'Kelly

Proceedings of the Active Inference - Third International Workshop, 2022

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

Posttraumatic Stress Disorder Hyperarousal Event Detection Using Smartwatch Physiological and Activity Data.

Mahnoosh Sadeghi, Anthony D. McDonald, Farzan Sasangohar

CoRR, 2021

2020

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

2019

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

2017

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

2014

Steering in a Random Forest: Ensemble Learning for Detecting Drowsiness-Related Lane Departures.

Anthony D. McDonald, John D. Lee, Chris Schwarz, Timothy L. Brown

Hum. Factors, 2014

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