An Empirical Study of API Stability and Adoption in the Android Ecosystem. - Tyler McDonnell; Baishakhi Ray; Miryung Kim (ICSM, 2013)

Why Is That Relevant? Collecting Annotator Rationales for Relevance Judgments. - Tyler McDonnell; Matthew Lease; Mücahid Kutlu; Tamer Elsayed (HCOMP, 2016)

Neural Information Retrieval: A Literature Review. - Ye Zhang; Md. Mustafizur Rahman; Alex Braylan; Brandon Dang; Heng-Lu Chang; Henna Kim; Quinten McNamara; Aaron Angert; Edward Banner; Vivek Khetan; Tyler McDonnell; An Thanh Nguyen 001; et al. (CoRR, 2016)

The Many Benefits of Annotator Rationales for Relevance Judgments. - Tyler McDonnell; Mücahid Kutlu; Tamer Elsayed; Matthew Lease (IJCAI, 2017)

Mix and Match: Collaborative Expert-Crowd Judging for Building Test Collections Accurately and Affordably. - Mücahid Kutlu; Tyler McDonnell; Aashish Sheshadri; Tamer Elsayed; Matthew Lease (DESIRES, 2018)

Divide and conquer: neuroevolution for multiclass classification. - Tyler McDonnell; Sari Andoni; Elmira Bonab; Sheila Cheng; Jun-Hwan Choi; Jimmie Goode; Keith Moore; Gavin Sellers; Jacob Schrum (GECCO, 2018)

Your Behavior Signals Your Reliability: Modeling Crowd Behavioral Traces to Ensure Quality Relevance Annotations. - Tanya Goyal; Tyler McDonnell; Mücahid Kutlu; Tamer Elsayed; Matthew Lease (HCOMP, 2018)

Crowd vs. Expert: What Can Relevance Judgment Rationales Teach Us About Assessor Disagreement? - Mücahid Kutlu; Tyler McDonnell; Yassmine Barkallah; Tamer Elsayed; Matthew Lease (SIGIR, 2018)

Neural information retrieval: at the end of the early years. - Kezban Dilek Onal; Ye Zhang; Ismail Sengor Altingovde; Md. Mustafizur Rahman; Pinar Karagoz; Alex Braylan; Brandon Dang; Heng-Lu Chang; Henna Kim; Quinten McNamara; Aaron Angert; Edward Banner; et al. (Inf. Retr. J., 2018)

Annotator Rationales for Labeling Tasks in Crowdsourcing. - Mücahid Kutlu; Tyler McDonnell; Tamer Elsayed; Matthew Lease (J. Artif. Intell. Res., 2020)

Surrogate-assisted neuroevolution. - Bryson Greenwood; Tyler McDonnell (GECCO, 2022)

A Potts model approach to unsupervised graph clustering with Graph Neural Networks. - Co Tran; Mo Badawy; Tyler McDonnell (CoRR, 2023)