Παρακολούθηση
Tyler McDonnell
Tyler McDonnell
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα cs.utexas.edu
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
3222013
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
1062018
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
802016
Neural information retrieval: A literature review
Y Zhang, MM Rahman, A Braylan, B Dang, HL Chang, H Kim, ...
arXiv preprint arXiv:1611.06792, 2016
472016
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
212018
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
172018
Annotator rationales for labeling tasks in crowdsourcing
M Kutlu, T McDonnell, T Elsayed, M Lease
Journal of Artificial Intelligence Research 69, 143-189, 2020
132020
An Thanh Nguyen, Dan Xu, Byron C
Y Zhang, MM Rahman, A Braylan, B Dang, HL Chang, H Kim, ...
Wallace, and Matthew Lease, 2016
112016
Ensembling of neural network models
S Andoni, KD Moore, EM Bonab, J Choi, TS McDonnell
US Patent 10,635,978, 2020
82020
The Many Benefits of Annotator Rationales for Relevance Judgments.
T McDonnell, M Kutlu, T Elsayed, M Lease
IJCAI, 4909-4913, 2017
72017
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
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
42018
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
32020
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
22020
Ensembling of neural network models
S Andoni, KD Moore, EM Bonab, J Choi, TS McDonnell
US Patent App. 16/811,632, 2020
12020
Automated neural network generation using fitness estimation
TS McDonnell, B Greenwood
US Patent 10,685,286, 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
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