Tyler McDonnell

According to our database, Tyler McDonnell authored at least 12 papers between 2013 and 2023.

Collaborative distances:

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

2023

A Potts model approach to unsupervised graph clustering with Graph Neural Networks.

Co Tran, Mo Badawy, Tyler McDonnell

CoRR, 2023

2022

Surrogate-assisted neuroevolution.

Bryson Greenwood, Tyler McDonnell

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2020

Annotator Rationales for Labeling Tasks in Crowdsourcing.

Mücahid Kutlu, Tyler McDonnell, Tamer Elsayed, Matthew Lease

J. Artif. Intell. Res., 2020

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, Vivek Khetan, Tyler McDonnell, An Thanh Nguyen, Dan Xu, Byron C. Wallace, Maarten de Rijke, Matthew Lease

Inf. Retr. J., 2018

Crowd vs. Expert: What Can Relevance Judgment Rationales Teach Us About Assessor Disagreement?

Mücahid Kutlu, Tyler McDonnell, Yassmine Barkallah, Tamer Elsayed, Matthew Lease

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 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

Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, 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

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Mix and Match: Collaborative Expert-Crowd Judging for Building Test Collections Accurately and Affordably.

Mücahid Kutlu, Tyler McDonnell, Aashish Sheshadri, Tamer Elsayed, Matthew Lease

Proceedings of the First Biennial Conference on Design of Experimental Search & Information Retrieval Systems, 2018

2017

The Many Benefits of Annotator Rationales for Relevance Judgments.

Tyler McDonnell, Mücahid Kutlu, Tamer Elsayed, Matthew Lease

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

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, Dan Xu, Byron C. Wallace, Matthew Lease

CoRR, 2016

Why Is That Relevant? Collecting Annotator Rationales for Relevance Judgments.

Tyler McDonnell, Matthew Lease, Mücahid Kutlu, Tamer Elsayed

Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

2013

An Empirical Study of API Stability and Adoption in the Android Ecosystem.

Tyler McDonnell, Baishakhi Ray, Miryung Kim

Proceedings of the 2013 IEEE International Conference on Software Maintenance, 2013