Increasing student engagement through the development of interdisciplinary courses: Linking engineering and technology, the sciences, and the humanities. - Dana L. Collins; Nayda G. Santiago; Hector Huyke; Christopher Papadopoulos; J. Fernando Vega-Riveros; Ana Nieves-Rosa; Anderson Brown; Raul Portuondo; Matias Cafaro; Matthew Landers (FIE, 2015)

Prediction of Hospital Readmission from Longitudinal Mobile Data Streams. - Chen Qian 007; Patraporn Leelaprachakul; Matthew Landers; Carissa A. Low; Anind K. Dey; Afsaneh Doryab (Sensors, 2021)

A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission models. - H. Echo Wang; Matthew Landers; Roy Adams; Adarsh Subbaswamy; Hadi Kharrazi; Darrell J. Gaskin; Suchi Saria (J. Am. Medical Informatics Assoc., 2022)

Deep Reinforcement Learning Verification: A Survey. - Matthew Landers; Afsaneh Doryab (ACM Comput. Surv., 2023)

Offline Reinforcement Learning With Combinatorial Action Spaces. - Matthew Landers; Taylor W. Killian; Hugo Barnes; Thomas Hartvigsen; Afsaneh Doryab (CoRR, 2024)

SAINT: Attention-Based Modeling of Sub-Action Dependencies in Multi-Action Policies. - Matthew Landers; Taylor W. Killian; Thomas Hartvigsen; Afsaneh Doryab (CoRR, 2025)