Tyler McDonnell
Tyler McDonnell
Geverifieerd e-mailadres voor cs.utexas.edu
Titel
Geciteerd door
Geciteerd door
Jaar
An empirical study of api stability and adoption in the android ecosystem
T McDonnell, B Ray, M Kim
2013 IEEE International Conference on Software Maintenance, 70-79, 2013
2512013
Neural information retrieval: At the end of the early years
KD Onal, Y Zhang, IS Altingovde, MM Rahman, P Karagoz, A Braylan, ...
Information Retrieval Journal 21 (2-3), 111-182, 2018
592018
Why Is That Relevant? Collecting Annotator Rationales for Relevance Judgments.
T McDonnell, M Lease, M Kutlu, T Elsayed
HCOMP 16, 139-148, 2016
562016
Neural information retrieval: A literature review
Y Zhang, MM Rahman, A Braylan, B Dang, HL Chang, H Kim, ...
arXiv preprint arXiv:1611.06792, 2016
282016
Crowd vs. expert: What can relevance judgment rationales teach us about assessor disagreement?
M Kutlu, T McDonnell, Y Barkallah, T Elsayed, M Lease
The 41st International ACM SIGIR Conference on Research & Development in …, 2018
122018
Your Behavior Signals Your Reliability: Modeling Crowd Behavioral Traces to Ensure Quality Relevance Annotations.
T Goyal, T McDonnell, M Kutlu, T Elsayed, M Lease
HCOMP, 41-49, 2018
112018
The Many Benefits of Annotator Rationales for Relevance Judgments.
T McDonnell, M Kutlu, T Elsayed, M Lease
IJCAI, 4909-4913, 2017
52017
Why is that relevant
T McDonnell, M Lease, M Kutlu, T Elsayed
Collecting Annotator Rationales for Relevance Judgments Proceedings of the …, 2016
22016
Divide and conquer: neuroevolution for multiclass classification
T McDonnell, S Andoni, E Bonab, S Cheng, JH Choi, J Goode, K Moore, ...
Proceedings of the Genetic and Evolutionary Computation Conference, 474-481, 2018
12018
Mix and Match: Collaborative Expert-Crowd Judging for Building Test Collections Accurately and Affordably
M Kutlu, T McDonnell, A Sheshadri, T Elsayed, M Lease
arXiv preprint arXiv:1806.00755, 2018
12018
Synonymy and Antonymy Detection in Distributional Models
S Chaurasia, T McDonnell
12016
Annotator Rationales for Labeling Tasks in Crowdsourcing
M Kutlu, T McDonnell, M Lease, T Elsayed
Journal of Artificial Intelligence Research 69, 143-189, 2020
2020
Cooperative use of a genetic algorithm and an optimization trainer for autoencoder generation
S Andoni, U Yadav, TS Mcdonnell
US Patent 10,733,512, 2020
2020
Automated model building search space reduction
TS Mcdonnell, S Andoni, J Choi, J Goode, Y Lan, KD Moore, G Sellers
US Patent App. 16/848,007, 2020
2020
Ensembling of neural network models
S Andoni, KD Moore, EM Bonab, J Choi, TS Mcdonnell
US Patent App. 16/811,632, 2020
2020
Automated neural network generation using fitness estimation
TS Mcdonnell, B Greenwood
US Patent 10,685,286, 2020
2020
Automated model building search space reduction
TS McDonnell, S Andoni, J Choi, J Goode, Y Lan, KD Moore, G Sellers
US Patent 10,657,447, 2020
2020
Ensembling of neural network models
S Andoni, KD Moore, EM Bonab, J Choi, TS Mcdonnell
US Patent App. 15/794,980, 2019
2019
Divide and conquer: neuroevolution for multiclass classification
J Schrum, T McDonnell, S Andoni, E Bonab, S Cheng, J Goode, K Moore, ...
GECCO'18 Proceedings of the Genetic and Evolutionary Computation Conference, 2018
2018
Support Vector Machines: Hand-Written Digit Recognition
T McDonnell
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20