Tyler McDonnell

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 12

Top Topics

Test Collection

Relevance Judgments

Multiclass Classification

Information Retrieval

Top Venues

Publications

Co Tran, Mo Badawy, Tyler McDonnell
A Potts model approach to unsupervised graph clustering with Graph Neural Networks. CoRR (2023)
Bryson Greenwood, Tyler McDonnell
Surrogate-assisted neuroevolution. GECCO (2022)
Mücahid Kutlu, Tyler McDonnell, Tamer Elsayed, Matthew Lease
Annotator Rationales for Labeling Tasks in Crowdsourcing. J. Artif. Intell. Res. 69 (2020)
Tyler McDonnell, Sari Andoni, Elmira Bonab, Sheila Cheng, Jun-Hwan Choi, Jimmie Goode, Keith Moore, Gavin Sellers, Jacob Schrum
Divide and conquer: neuroevolution for multiclass classification. GECCO (2018)
Mücahid Kutlu, Tyler McDonnell, Aashish Sheshadri, Tamer Elsayed, Matthew Lease
Mix and Match: Collaborative Expert-Crowd Judging for Building Test Collections Accurately and Affordably. CoRR (2018)
Tanya Goyal, Tyler McDonnell, Mücahid Kutlu, Tamer Elsayed, Matthew Lease
Your Behavior Signals Your Reliability: Modeling Crowd Behavioral Traces to Ensure Quality Relevance Annotations. HCOMP (2018)
Mücahid Kutlu, Tyler McDonnell, Yassmine Barkallah, Tamer Elsayed, Matthew Lease
Crowd vs. Expert: What Can Relevance Judgment Rationales Teach Us About Assessor Disagreement? SIGIR (2018)
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, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Maarten de Rijke, Matthew Lease
Neural information retrieval: at the end of the early years. Inf. Retr. J. 21 (2-3) (2018)
Mücahid Kutlu, Tyler McDonnell, Aashish Sheshadri, Tamer Elsayed, Matthew Lease
Mix and Match: Collaborative Expert-Crowd Judging for Building Test Collections Accurately and Affordably. DESIRES (2018)
Tyler McDonnell, Mücahid Kutlu, Tamer Elsayed, Matthew Lease
The Many Benefits of Annotator Rationales for Relevance Judgments. IJCAI (2017)
Tyler McDonnell, Matthew Lease, Mücahid Kutlu, Tamer Elsayed
Why Is That Relevant? Collecting Annotator Rationales for Relevance Judgments. HCOMP (2016)
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, Dan Xu, Byron C. Wallace, Matthew Lease
Neural Information Retrieval: A Literature Review. CoRR (2016)
Tyler McDonnell, Baishakhi Ray, Miryung Kim
An Empirical Study of API Stability and Adoption in the Android Ecosystem. ICSM (2013)