Kevin Small

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Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Thomas TrikalinosHealth Services, Policy & Practice and BiostatisticsVerified email at brown.edu
Byron WallaceAssociate Professor, Northeastern UniversityVerified email at ccs.neu.edu
Carla BrodleyNortheastern UniversityVerified email at neu.edu
Alexandre KlementievPrincipal Applied Scientist, Amazon, SeattleVerified email at amazon.com
Li ZhouCarnegie Mellon UniversityVerified email at cs.cmu.edu
Joseph LauBrown UniversityVerified email at brown.edu
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon ScholarVerified email at illinois.edu
Ivan TitovUniversity of Edinburgh / University of AmsterdamVerified email at inf.ed.ac.uk
Christopher H SchmidBrown UniversityVerified email at brown.edu
Revanth Gangi ReddyUniversity of Illinois, Urbana ChampaignVerified email at illinois.edu
Heba ElfardyApplied Science Manager, AmazonVerified email at amazon.com
Yi R. (May) FungIncoming 🦫, HKUSTVerified email at ust.hk
Sai Chetan ChinthakindiApple Inc.Verified email at apple.com
Xin LiAlibaba, UIUC, YahooVerified email at alibaba-inc.com
Martha Stone PalmerProfessor of Linguistics, Computer Science, University of ColoradoVerified email at colorado.edu
Oleg RokhlenkoAmazonVerified email at amazon.com
Christina M. LillProfessor, University of Münster, Germany; Lecturer, Imperial College London, UKVerified email at uni-luebeck.de
Lars BertramUniversity of LübeckVerified email at uni-luebeck.de
Markus DreyerPh.D., Johns Hopkins UniversityVerified email at cs.jhu.edu

Kevin Small

Principal Applied Scientist, Amazon

Verified email at amazon.com - Homepage

machine learning natural language processing artificial intelligence data mining


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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	651	2012
Class imbalance, redux BC Wallace, K Small, CE Brodley, TA Trikalinos 2011 IEEE 11th International Conference on Data Mining, 754-763, 2011	263	2011
Margin-based active learning for structured output spaces D Roth, K Small European Conference on Machine Learning, 413-424, 2006	243	2006
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	152	2010
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	129	2008
An unsupervised learning algorithm for rank aggregation A Klementiev, D Roth, K Small European Conference on Machine Learning, 616-623, 2007	129	2007
Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering L Zhou, K Small arXiv preprint arXiv:1911.06192, 2019	101	2019
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	90	2012
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	83	2011
Unsupervised rank aggregation with domain-specific expertise A Klementiev, D Roth, K Small, I Titov Twenty-First International Joint Conference on Artificial Intelligence, 2009	76	2009
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	62	2011
Relation alignment for textual entailment recognition M Sammons, VGV Vydiswaran, T Vieira, N Johri, MW Chang, ... Text Analysis Conference (TAC), 2009	59	2009
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	54	2004
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	43	2017
Challenges and Opportunities in Applied Machine Learning CE Brodley, U Rebbapragada, K Small, B Wallace AI Magazine 33 (1), 11-24, 2012	41	2012
Margin-based active learning for structured predictions K Small, D Roth International Journal of Machine Learning and Cybernetics 1 (1-4), 3-25, 2010	41	2010
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	39	2014
Inverse Reinforcement Learning with Natural Language Goals L Zhou, K Small arXiv preprint arXiv:2008.06924, 2020	36	2020
Question-Answering via Enhanced Understanding of Questions. D Roth, CM Cumby, X Li, P Morie, R Nagarajan, N Rizzolo, K Small, ... TREC, 2002	35	2002
Interactive feature space construction using semantic information D Roth, K Small Proceedings of the Thirteenth Conference on Computational Natural Language …, 2009	31	2009

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