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ORCIDTyler McDonnell
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2020 – today
- 2023
[i3]Co Tran, Mo Badawy, Tyler McDonnell:
A Potts model approach to unsupervised graph clustering with Graph Neural Networks. CoRR abs/2308.09644 (2023)- 2022
- [c8]Bryson Greenwood, Tyler McDonnell:
Surrogate-assisted neuroevolution. GECCO 2022: 1048-1056 - 2020
- [j2]Mücahid Kutlu, Tyler McDonnell, Tamer Elsayed, Matthew Lease
:
Annotator Rationales for Labeling Tasks in Crowdsourcing. J. Artif. Intell. Res. 69: 143-189 (2020)
2010 – 2019
- 2018
- [j1]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): 111-182 (2018) - [c7]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: 42-46 - [c6]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: 474-481 - [c5]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: 41-49 - [c4]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: 805-814 - [i2]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 abs/1806.00755 (2018) - 2017
- [c3]Tyler McDonnell, Mücahid Kutlu, Tamer Elsayed, Matthew Lease:
The Many Benefits of Annotator Rationales for Relevance Judgments. IJCAI 2017: 4909-4913 - 2016
- [c2]Tyler McDonnell, Matthew Lease, Mücahid Kutlu, Tamer Elsayed:
Why Is That Relevant? Collecting Annotator Rationales for Relevance Judgments. HCOMP 2016: 139-148 - [i1]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 abs/1611.06792 (2016) - 2013
- [c1]Tyler McDonnell, Baishakhi Ray, Miryung Kim:
An Empirical Study of API Stability and Adoption in the Android Ecosystem. ICSM 2013: 70-79
Coauthor Index
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