Kevin Small
Kevin Small
Machine Learning Scientist, Amazon
Verified email at amazon.com - Homepage
Title
Cited by
Cited by
Year
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
2242012
Class imbalance, redux
BC Wallace, K Small, CE Brodley, TA Trikalinos
2011 IEEE 11th International Conference on Data Mining, 754-763, 2011
1382011
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
1022008
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
1012010
An unsupervised learning algorithm for rank aggregation
A Klementiev, D Roth, K Small
European Conference on Machine Learning, 616-623, 2007
972007
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
642011
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
602012
Unsupervised rank aggregation with domain-specific expertise
A Klementiev, D Roth, K Small, I Titov
Twenty-First International Joint Conference on Artificial Intelligence, 2009
572009
Margin-based active learning for structured output spaces
D Roth, K Small
European Conference on Machine Learning, 413-424, 2006
552006
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
512011
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
502004
Relation alignment for textual entailment recognition
M Sammons, VGV Vydiswaran, T Vieira, N Johri, MW Chang, ...
Text Analysis Conference (TAC), 2009
492009
Margin-based active learning for structured predictions
K Small, D Roth
International Journal of Machine Learning and Cybernetics 1 (1-4), 3-25, 2010
362010
Question-Answering via Enhanced Understanding of Questions.
D Roth, CM Cumby, X Li, P Morie, R Nagarajan, N Rizzolo, K Small, ...
TREC, 2002
292002
Interactive feature space construction using semantic information
D Roth, K Small
Proceedings of the Thirteenth Conference on Computational Natural Language …, 2009
242009
Challenges and Opportunities in Applied Machine Learning
CE Brodley, U Rebbapragada, K Small, B Wallace
AI Magazine 33 (1), 11-24, 2012
222012
Active learning for pipeline models
D Roth, K Small
Proceedings of the National Conference on Artificial Intelligence (AAAI …, 2008
222008
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
202014
Modeling annotation time to reduce workload in comparative effectiveness reviews
BC Wallace, K Small, CE Brodley, J Lau, TA Trikalinos
Proceedings of the 1st ACM International Health Informatics Symposium, 28-35, 2010
192010
Active learning with perceptron for structured output
D Roth, K Small
ICML Workshop on Learning in Structured Output Spaces, 2006
142006
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