Követés
Kevin Small
Kevin Small
Principal Applied Scientist, Amazon
E-mail megerősítve itt: amazon.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Deploying an interactive machine learning system in an evidence-based practice center: abstrackr
BC Wallace, K Small, CE Brodley, J Lau, TA Trikalinos
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium …, 2012
6862012
Class imbalance, redux
BC Wallace, K Small, CE Brodley, TA Trikalinos
2011 IEEE 11th International Conference on Data Mining, 754-763, 2011
2722011
Margin-based active learning for structured output spaces
D Roth, K Small
European Conference on Machine Learning, 413-424, 2006
2572006
Active learning for biomedical citation screening
BC Wallace, K Small, CE Brodley, TA Trikalinos
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
1542010
Unsupervised rank aggregation with distance-based models
A Klementiev, D Roth, K Small
Proceedings of the 25th international conference on Machine learning, 472-479, 2008
1302008
An unsupervised learning algorithm for rank aggregation
A Klementiev, D Roth, K Small
European Conference on Machine Learning, 616-623, 2007
1302007
Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering
L Zhou, K Small
arXiv preprint arXiv:1911.06192, 2019
1042019
Toward modernizing the systematic review pipeline in genetics: efficient updating via data mining
BC Wallace, K Small, CE Brodley, J Lau, CH Schmid, L Bertram, CM Lill, ...
Genetics in Medicine 14 (7), 663-669, 2012
922012
Who should label what? Instance allocation in multiple expert active learning
BC Wallace, K Small, CE Brodley, TA Trikalinos
Proceedings of the SIAM International Conference on Data Mining (SDM), 2011
832011
Unsupervised rank aggregation with domain-specific expertise
A Klementiev, D Roth, K Small, I Titov
Twenty-First International Joint Conference on Artificial Intelligence, 2009
772009
The constrained weight space svm: learning with ranked features
K Small, B Wallace, C Brodley, T Trikalinos
the 28th International Conference on Machine Learning (ICML), 2011
632011
Relation alignment for textual entailment recognition
M Sammons, VGV Vydiswaran, T Vieira, N Johri, MW Chang, ...
Text Analysis Conference (TAC), 2009
592009
The role of semantic information in learning question classifiers
X Li, D Roth, K Small
Proceedings of the International Joint Conference on Natural Language Processing, 2004
552004
End-to-end offline goal-oriented dialog policy learning via policy gradient
L Zhou, K Small, O Rokhlenko, C Elkan
arXiv preprint arXiv:1712.02838, 2017
462017
Challenges and Opportunities in Applied Machine Learning
CE Brodley, U Rebbapragada, K Small, B Wallace
AI Magazine 33 (1), 11-24, 2012
462012
Methods for the joint meta‐analysis of multiple tests
TA Trikalinos, DC Hoaglin, KM Small, N Terrin, CH Schmid
Research Synthesis Methods 5 (4), 294-312, 2014
412014
Margin-based active learning for structured predictions
K Small, D Roth
International Journal of Machine Learning and Cybernetics 1 (1-4), 3-25, 2010
412010
Inverse Reinforcement Learning with Natural Language Goals
L Zhou, K Small
arXiv preprint arXiv:2008.06924, 2020
392020
Newsclaims: A new benchmark for claim detection from news with attribute knowledge
RG Reddy, S Chetan, Z Wang, YR Fung, K Conger, A Elsayed, M Palmer, ...
arXiv preprint arXiv:2112.08544, 2021
38*2021
Question-Answering via Enhanced Understanding of Questions.
D Roth, CM Cumby, X Li, P Morie, R Nagarajan, N Rizzolo, K Small, ...
TREC, 2002
352002
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Cikkek 1–20