Performance Bounds for Pairwise Entity Resolution. - Matt Barnes 001; Kyle Miller 001; Artur Dubrawski (CoRR, 2015)

An Entity Resolution Approach to Isolate Instances of Human Trafficking Online. - Chirag Nagpal; Kyle Miller 001; Benedikt Boecking; Artur Dubrawski (NUT@EMNLP, 2017)

Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data. - Chirag Nagpal; Kyle Miller 001; Tiffany Pellathy; Marilyn Hravnak; Gilles Clermont; Michael R. Pinsky; Artur Dubrawski (ICDM Workshops, 2017)

Scaling Active Search using Linear Similarity Functions. - Sibi Venkatesan; James Kyle Miller; Jeff Schneider 001; Artur Dubrawski (IJCAI, 2017)

Noise-Tolerant Interactive Learning Using Pairwise Comparisons. - Yichong Xu; Hongyang Zhang 001; Aarti Singh; Artur Dubrawski; Kyle Miller 001 (NIPS, 2017)

Learning Mixtures of Multi-Output Regression Models by Correlation Clustering for Multi-View Data. - Eric Lei; Kyle Miller 001; Artur Dubrawski (CoRR, 2017)

Mutually Regressive Point Processes. - Ifigeneia Apostolopoulou; Scott W. Linderman; Kyle Miller 001; Artur Dubrawski (NeurIPS, 2019)

Statistical outbreak detection by joining medical records and pathogen similarity. - James Kyle Miller; Jieshi Chen; Alexander Sundermann; Jane W. Marsh; Melissa I. Saul; Kathleen A. Shutt; Marissa Pacey; Mustapha M. Mustapha; Lee H. Harrison; Artur Dubrawski (J. Biomed. Informatics, 2019)

Robust Multi-View Representation Learning (Student Abstract). - Sibi Venkatesan; James Kyle Miller; Artur Dubrawski (AAAI, 2020)

System-Level Predictive Maintenance: Review of Research Literature and Gap Analysis. - Kyle Miller 001; Artur Dubrawski (CoRR, 2020)

Provably Robust Model-Centric Explanations for Critical Decision-Making. - Cecilia G. Morales; Nicholas Gisolfi; Robert Edman; James Kyle Miller; Artur Dubrawski (CoRR, 2021)

Actionable Model-Centric Explanations (Student Abstract). - Cecilia G. Morales; Nicholas Gisolfi; Robert Edman; James Kyle Miller; Artur Dubrawski (AAAI, 2022)

Feature Learning for Interpretable, Performant Decision Trees. - Jack H. Good; Torin Kovach; Kyle Miller 001; Artur Dubrawski (NeurIPS, 2023)

Verification of Fuzzy Decision Trees. - Jack H. Good; Nicholas Gisolfi; James Kyle Miller; Artur Dubrawski (IEEE Trans. Software Eng., 2023)