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This page contains all of my publications (an asterisk indicates authors listed in
alphabetical order). I also have a few BibTeX files that you
may find useful.
ccg.bib -
a BibTeX file containing all of the publications of the Cognitive
Computation Group papers
papers.bib - a BibTeX file
containing papers in the
BibDesk generated file on my laptop.
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Conference Papers
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B. Wallace, K. Small, C. Brodley, J. Lau, and T. Trikalinos,
Deploying an Interactive Machine Learning System in an Evidence-Based Practice Center.
In Proc. of the ACM International Health Informatics Symposium
(IHI), 2012.
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B. Wallace, K. Small, C. Brodley, and T. Trikalinos,
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In Proc. of the International Conference on Data Mining
(ICDM), 2011.
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K. Small, B. Wallace, C. Brodley, and T. Trikalinos,
The Constrained Weight Space SVM: Learning with Ranked Features.
In Proc. of the International Conference on Machine Learning
(ICML), 2011.
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B. Wallace, K. Small, C. Brodley, and T. Trikalinos,
Who Should Label What? Instance Allocation in Multiple Expert Active Learning.
In Proc. of the SIAM International Conference on Data Mining
(SDM), 2011.
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B. Wallace, K. Small, C. Brodley, J. Lau, and T. Trikalinos,
Modeling Annotation Time to Reduce Workload in Comparative Effectiveness Reviews.
In Proc. of the ACM International Health Informatics Symposium
(IHI 2010), 2010.
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B. Wallace, K. Small, C. Brodley, and T. Trikalinos,
Active Learning for Biomedical Citation Screening.
In Proc. of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD), 2010.
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I. Titov, A. Klementiev, K. Small, and D. Roth,
Unsupervised Aggregation for Classification Problems with Large Numbers of Categories.
In Proc. of the International Conference on Artificial Intelligence and Statistics
(AISTATS), 2010.
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D. Roth and K. Small*,
Interactive Feature Space Construction using Semantic Information.
In Proc. of the Conference on Computational Natural Language Learning
(CoNLL), 2009.
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A. Klementiev, D. Roth, K. Small*, and I. Titov,
Unsupervised Rank Aggregation with Domain-Specific Expertise.
In Proc. of the International Joint Conference on Artificial Intelligence
(IJCAI), 2009.
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D. Roth, K. Small*, and I. Titov,
Sequential Learning of Classifiers for Structured Prediction Problems.
In Proc. of the International Conference on Artificial Intelligence and Statistics
(AISTATS), 2009.
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A. Klementiev, D. Roth, and K. Small*,
Unsupervised Rank Aggregation with Distance-based Models.
In Proc. of the International Conferece on Machine Learning
(ICML), 2008.
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D. Roth and K. Small*,
Active Learning for Pipeline Models.
In Proc. of the National Conference on Artificial Intelligence
(AAAI), 2008.
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A. Klementiev, D. Roth, and K. Small*,
An Unsupervsied Learning Algorithm for Rank Aggregation.
In Proc. of the European Conference on Machine Learning
(ECML), 2007.
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P. Davis, K. Small*, and Z. Xie,
All Links are Not the Same: Evaluating Word Alignments for Statistical Machine Translation.
In Proc. of the Machine Translation Summit
(MT Summit), 2007.
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D. Roth and K. Small*,
Margin-based Active Learning for Structured Output Spaces.
In Proc. of the European Conference on Machine Learning
(ECML), 2006.
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X. Li, D. Roth, and K. Small*,
The Role of Semantic Information in Learning Question Classifiers.
In Proc. of the International Joint Conference on Natural Language Processing
(IJCNLP), 2004.
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C. Cumby, X. Li, P. Morie, R. Nagarajan, N. Rizzolo, D. Roth, K. Small*, and W. Yih,
Question Answering via Enhanced Understanding of Questions.
In Proc. of the Text Retreival Conference
(TREC), 2002.
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Workshops and Symposia
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K. Pham, N. Rizzolo, K. Small, K. Chang, and D. Roth,
Object Search: Supporting Structured Queries in Web Search Engines,
NAACL Workshop on Semantic Search (SemanticSearch), 2010.
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B. Wallace, K. Small, C. Brodley, and T. Trikalinos,
Active Learning for Biomedical Citation Screening
Northeast Student Colloquium on Artificial Intelligence, 2010.
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K. Small and D. Roth,
Interactive Feature Space Construction,
NIPS Workshop on Analysis and Design of Algorithms for Interactive Machine Learning (ADA-IML), 2009.
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A. Klementiev, D. Roth, K. Small*, and I. Titov,
Unsupervised Prediction Aggregation.
NIPS Workshop on Learning with Orderings, 2009.
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A. Klementiev, D. Roth, K. Small*, and I. Titov,
Unsupervised Rank Aggregation with Domain-Specific Expertise.
The Learning Workshop (Snowbird), 2009.
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D. Roth and K. Small*,
Interactive Introduction of Semantic Information for Discriminative Learning.
NSF Symposium on Semantic Knowledge Discovery, Organization, and Use,
2008.
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A. Klementiev, D. Roth, and K. Small*,
A Framework for Unsupervised Rank Aggregation.
SIGIR-08 Workshop on Learning to Rank for Information Retrieval (LR4IR), 2008.
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D. Roth and K. Small*,
Active Learning for Pipeline Models,
The Learning Workshop (Snowbird), 2008.
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A. Klementiev, D. Roth, and K. Small*,
Unsupervised Rank Aggregation with Distance-based Models.
The Learning Workshop (Snowbird), 2008.
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D. Roth and K. Small*,
Active Learning with Perceptron for Structured Output.
ICML-06 Workshop on Learning in Structured Output Spaces,
2006.
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