Modeling and Analysis of Empirical Data in Collaborative Environments. - Ingrid Carlbom; William M. Hsu; Gudrun Klinker; Richard Szeliski; Keith Waters; Michael Doyle; Jim Gettys; Kristen M. Harris; Thoms M. Levergood; Ricky S. Palmer; Lawrence G. Palmer; Marc Picart; et al. (Commun. ACM, 1992)

Similarity-Based Support for Text Reuse in Technical Writing. - Axel J. Soto; Abidalrahman Mohammad; Andrew Albert; Aminul Islam 001; Evangelos E. Milios; Michael Doyle; Rosane Minghim; Maria Cristina Ferreira de Oliveira (DocEng, 2015)

Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks. - Andrew Anderson 001; Michael Doyle; David Gregg (ARITH, 2019)

Patterns of drinking in Aboriginal and Torres Strait Islander peoples as self-reported on the Grog Survey App: a stratified sample. - KS Kylie Lee; James H. Conigrave; Scott Wilson; Jimmy Perry; Noel E. Hayman; Catherine Zheng; Mustafa Al Ansari; Michael Doyle; Robin Room; Sarah Callinan; Tanya Chikritzhs; Tim Slade; et al. (BMC Medical Informatics Decis. Mak., 2019)

Practical Attacks on Machine Translation using Paraphrase. - Elizabeth M. Merkhofer; John C. Henderson; Abigail S. Gertner; Michael Doyle; Lily Wong (AMTA, 2022)

Reinforcement Learning for Wildfire Mitigation in Simulated Disaster Environments. - Alexander Tapley; Marissa Dotter; Michael Doyle; Aidan Fennelly; Dhanuj Gandikota; Savanna Smith; Michael Threet; Tim Welsh (CoRR, 2023)

AI-Based Suicide Risk Assessment. - Pavlos Charonyktakis; Grigoris Antoniou; Marios Adamou; Michael Doyle; Sotiris Batsakis; Ioannis Tsamardinos (IISA, 2024)

Testing the Effect of Code Documentation on Large Language Model Code Understanding. - William Macke; Michael Doyle (NAACL-HLT (Findings), 2024)

Leveraging LLMs for Legacy Code Modernization: Challenges and Opportunities for LLM-Generated Documentation. - Colin Diggs; Michael Doyle; Amit Madan; Siggy Scott; Emily Escamilla; Jacob Zimmer; Naveed Nekoo; Paul Ursino; Michael Bartholf; Zachary Robin; Anand Patel; Chris Glasz; et al. (CoRR, 2024)

Leveraging LLMs for Legacy Code Modernization: Evaluation of LLM-Generated Documentation. - Colin Diggs; Michael Doyle; Amit Madan; Eric O. Scott; Emily Escamilla; Jacob Zimmer; Naveed Nekoo; Paul Ursino; Michael Bartholf; Zachary Robin; Anand Patel; Chris Glasz; et al. (LLM4Code@ICSE, 2025)

Impact of Comments on LLM Comprehension of Legacy Code. - Rock Sabetto; Emily Escamilla; Devesh Agarwal; Sujay Kandwal; Justin F. Brunelle; Scott Rosen; Nitin Naik; Samruddhi Thaker; Eric O. Scott; Jacob Zimmer; Amit Madan; Arun Sridharan; et al. (CoRR, 2025)

Can LLMs Replace Humans During Code Chunking? - Christopher Glasz; Emily Escamilla; Eric O. Scott; Anand Patel; Jacob Zimmer; Colin Diggs; Michael Doyle; Scott Rosen; Nitin Naik; Justin F. Brunelle; Samruddhi Thaker; Parthav Poudel; et al. (CoRR, 2025)