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James Kyle Miller
Person information
- affiliation: Carnegie Mellon University, Robotics Institute, Auton Lab, Pittsburgh, PA, USA
Other persons with the same name
- Kyle Miller 0002 — University of Texas, Austin, TX, USA
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2020 – today
- 2023
- [j2]Jack H. Good
, Nicholas Gisolfi, James Kyle Miller
, Artur Dubrawski
:
Verification of Fuzzy Decision Trees. IEEE Trans. Software Eng. 49(5): 3277-3288 (2023) - [c8]Jack H. Good, Torin Kovach, Kyle Miller, Artur Dubrawski:
Feature Learning for Interpretable, Performant Decision Trees. NeurIPS 2023 - 2022
- [c7]Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James Kyle Miller, Artur Dubrawski:
Actionable Model-Centric Explanations (Student Abstract). AAAI 2022: 13019-13020 - 2021
- [i6]Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James Kyle Miller, Artur Dubrawski:
Provably Robust Model-Centric Explanations for Critical Decision-Making. CoRR abs/2110.13937 (2021) - 2020
- [c6]Sibi Venkatesan, James Kyle Miller, Artur Dubrawski:
Robust Multi-View Representation Learning (Student Abstract). AAAI 2020: 13939-13940 - [i5]Kyle Miller, Artur Dubrawski:
System-Level Predictive Maintenance: Review of Research Literature and Gap Analysis. CoRR abs/2005.05239 (2020)
2010 – 2019
- 2019
- [j1]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:
Statistical outbreak detection by joining medical records and pathogen similarity. J. Biomed. Informatics 91 (2019) - [c5]Ifigeneia Apostolopoulou, Scott W. Linderman, Kyle Miller, Artur Dubrawski:
Mutually Regressive Point Processes. NeurIPS 2019: 5116-5127 - 2017
- [c4]Chirag Nagpal, Kyle Miller, Benedikt Boecking, Artur Dubrawski:
An Entity Resolution Approach to Isolate Instances of Human Trafficking Online. NUT@EMNLP 2017: 77-84 - [c3]Chirag Nagpal, Kyle Miller, Tiffany Pellathy, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski:
Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data. ICDM Workshops 2017: 478-485 - [c2]Sibi Venkatesan, James Kyle Miller, Jeff Schneider, Artur Dubrawski:
Scaling Active Search using Linear Similarity Functions. IJCAI 2017: 2878-2884 - [c1]Yichong Xu, Hongyang Zhang, Aarti Singh, Artur Dubrawski, Kyle Miller:
Noise-Tolerant Interactive Learning Using Pairwise Comparisons. NIPS 2017: 2431-2440 - [i4]Sibi Venkatesan, James Kyle Miller, Jeff Schneider, Artur Dubrawski:
Scaling Active Search using Linear Similarity Functions. CoRR abs/1705.00334 (2017) - [i3]Eric Lei, Kyle Miller, Artur Dubrawski:
Learning Mixtures of Multi-Output Regression Models by Correlation Clustering for Multi-View Data. CoRR abs/1709.05602 (2017) - 2015
- [i2]Matt Barnes, Kyle Miller, Artur Dubrawski:
Performance Bounds for Pairwise Entity Resolution. CoRR abs/1509.03302 (2015) - [i1]Chirag Nagpal, Kyle Miller, Benedikt Boecking, Artur Dubrawski:
An Entity Resolution approach to isolate instances of Human Trafficking online. CoRR abs/1509.06659 (2015)
Coauthor Index
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