Kevin Small

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Dan RothProfessor of Computer Science, University of PennsylvaniaPatvirtintas el. paštas seas.upenn.edu
Thomas TrikalinosHealth Services, Policy & Practice and BiostatisticsPatvirtintas el. paštas brown.edu
Byron WallaceAssociate Professor, Northeastern UniversityPatvirtintas el. paštas ccs.neu.edu
Carla BrodleyNortheastern UniversityPatvirtintas el. paštas neu.edu
Alexandre KlementievPrincipal Applied Scientist, Amazon, SeattlePatvirtintas el. paštas amazon.com
Li ZhouCarnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Joseph LauBrown UniversityPatvirtintas el. paštas brown.edu
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon ScholarPatvirtintas el. paštas illinois.edu
Revanth Gangi ReddyUniversity of Illinois, Urbana ChampaignPatvirtintas el. paštas illinois.edu
Ivan TitovUniversity of Edinburgh / University of AmsterdamPatvirtintas el. paštas inf.ed.ac.uk
Christopher H SchmidBrown UniversityPatvirtintas el. paštas brown.edu
Yi R. (May) FungAssistant Professor, Hong Kong University of Science and TechnologyPatvirtintas el. paštas ust.hk
Heba ElfardyApplied Science Manager, AmazonPatvirtintas el. paštas amazon.com
Sai Chetan ChinthakindiApple Inc.Patvirtintas el. paštas apple.com
Xin LiAlibaba, UIUC, YahooPatvirtintas el. paštas alibaba-inc.com
Martha Stone PalmerProfessor of Linguistics, Computer Science, University of ColoradoPatvirtintas el. paštas colorado.edu
Oleg RokhlenkoAmazonPatvirtintas el. paštas amazon.com
Markus DreyerPh.D., Johns Hopkins UniversityPatvirtintas el. paštas cs.jhu.edu
Christina M. LillProfessor, University of Münster, Germany; Lecturer, Imperial College London, UKPatvirtintas el. paštas uni-luebeck.de
Lars BertramUniversity of LübeckPatvirtintas el. paštas uni-luebeck.de

Stebėti

Kevin Small

Principal Applied Scientist, Amazon

Patvirtintas el. paštas amazon.com - Pagrindinis puslapis

machine learning natural language processing artificial intelligence data mining


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	691	2012
Class imbalance, redux BC Wallace, K Small, CE Brodley, TA Trikalinos 2011 IEEE 11th International Conference on Data Mining, 754-763, 2011	272	2011
Margin-based active learning for structured output spaces D Roth, K Small European Conference on Machine Learning, 413-424, 2006	254	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	155	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	133	2008
An unsupervised learning algorithm for rank aggregation A Klementiev, D Roth, K Small European Conference on Machine Learning, 616-623, 2007	126	2007
Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering L Zhou, K Small arXiv preprint arXiv:1911.06192, 2019	105	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	91	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	84	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	63	2011
Relation alignment for textual entailment recognition M Sammons, VGV Vydiswaran, T Vieira, N Johri, MW Chang, ... Text Analysis Conference (TAC), 2009	57	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	47	2017
Challenges and Opportunities in Applied Machine Learning CE Brodley, U Rebbapragada, K Small, B Wallace AI Magazine 33 (1), 11-24, 2012	45	2012
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	42	2014
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
Inverse Reinforcement Learning with Natural Language Goals L Zhou, K Small arXiv preprint arXiv:2008.06924, 2020	40	2020
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	35	2002

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