Tyler McDonnell
Tyler McDonnell
Bestätigte E-Mail-Adresse bei cs.utexas.edu
Titel
Zitiert von
Zitiert von
Jahr
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
2782013
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), 111-182, 2018
892018
Why is that relevant? collecting annotator rationales for relevance judgments
T McDonnell, M Lease, M Kutlu, T Elsayed
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 4 (1), 2016
672016
Neural information retrieval: A literature review
Y Zhang, MM Rahman, A Braylan, B Dang, HL Chang, H Kim, ...
arXiv preprint arXiv:1611.06792, 2016
422016
Baishakhi Ray, and Miryung Kim. An empirical study of api stability and adoption in the android ecosystem
T McDonnell
Software Maintenance (ICSM), 2013 29th IEEE International Conference on, 70-79, 0
27
Your behavior signals your reliability: Modeling crowd behavioral traces to ensure quality relevance annotations
T Goyal, T McDonnell, M Kutlu, T Elsayed, M Lease
Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018
172018
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
152018
An Thanh Nguyen, Dan Xu, Byron C
Y Zhang, MM Rahman, A Braylan, B Dang, HL Chang, H Kim, ...
Wallace, and Matthew Lease, 2016
102016
Annotator rationales for labeling tasks in crowdsourcing
M Kutlu, T McDonnell, M Lease, T Elsayed
Journal of Artificial Intelligence Research 69, 143-189, 2020
62020
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
62018
The Many Benefits of Annotator Rationales for Relevance Judgments.
T McDonnell, M Kutlu, T Elsayed, M Lease
IJCAI, 4909-4913, 2017
52017
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
32018
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
12020
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
12020
Ensembling of neural network models
S Andoni, KD Moore, EM Bonab, J Choi, TS McDonnell
US Patent 10,635,978, 2020
12020
Synonymy and Antonymy Detection in Distributional Models
S Chaurasia, T McDonnell
12016
Anomaly detection using a non-mirrored dimensional-reduction model
S Andoni, U Yadav, TS McDonnell
US Patent App. 17/209,508, 2021
2021
Anomaly detection using a dimensional-reduction model
S Andoni, U Yadav, TS McDonnell
US Patent App. 17/209,432, 2021
2021
Cooperative use of a genetic algorithm and an optimization trainer for autoencoder generation
S Andoni, U Yadav, TS McDonnell
US Patent App. 16/927,300, 2021
2021
Matrix representation of neural networks
TS McDonnell, B Greenwood
US Patent App. 17/129,023, 2021
2021
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