K. Miller

Noise-Tolerant Interactive Learning from Pairwise Comparisons

Hongyang R. Zhang, Aarti Singh, A. Dubrawski, 2017, 1704.05820.

Mutually Regressive Point Processes

Scott W. Linderman, Artur Dubrawski, Kyle Miller, 2019, NeurIPS.

Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data

Gilles Clermont, Artur Dubrawski, Chirag Nagpal, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Learning Mixtures of Multi-Output Regression Models by Correlation Clustering for Multi-View Data

Artur Dubrawski, Eric Lei, Michael R. Pinsky, 2017, ArXiv.

Leveraging Publicly Available Data to Discern Patterns of Human-Trafficking Activity

Artur Dubrawski, Matt Barnes, Benedikt Boecking, 2015 .

Verification of Fuzzy Decision Trees

Jack H. Good, K. Miller, A. Dubrawski, 2023, IEEE Transactions on Software Engineering.

Quantifying the Relationship between Large Public Events and Escort Advertising Behavior

Artur Dubrawski, Kyle Miller, Benedikt Boecking, 2019 .

Noise-Tolerant Interactive Learning Using Pairwise Comparisons

Yichong Xu, Aarti Singh, Artur Dubrawski, 2017, NIPS.

An Entity Resolution Approach to Isolate Instances of Human Trafficking Online pdf

Artur Dubrawski, Chirag Nagpal, Kyle Miller, 2015, NUT@EMNLP.

Performance Bounds for Pairwise Entity Resolution pdf

Artur Dubrawski, Matt Barnes, Kyle Miller, 2015, ArXiv.