James Kyle Miller

According to our database, James Kyle Miller authored at least 14 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Verification of Fuzzy Decision Trees.

Jack H. Good, Nicholas Gisolfi, James Kyle Miller, Artur Dubrawski

IEEE Trans. Software Eng., 2023

Feature Learning for Interpretable, Performant Decision Trees.

Jack H. Good, Torin Kovach, Kyle Miller, Artur Dubrawski

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Actionable Model-Centric Explanations (Student Abstract).

Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James Kyle Miller, Artur Dubrawski

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Provably Robust Model-Centric Explanations for Critical Decision-Making.

Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James Kyle Miller, Artur Dubrawski

CoRR, 2021

2020

System-Level Predictive Maintenance: Review of Research Literature and Gap Analysis.

Kyle Miller, Artur Dubrawski

CoRR, 2020

Robust Multi-View Representation Learning (Student Abstract).

Sibi Venkatesan, James Kyle Miller, Artur Dubrawski

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Mutually Regressive Point Processes.

Ifigeneia Apostolopoulou, Scott W. Linderman, Kyle Miller, Artur Dubrawski

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017

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

Eric Lei, Kyle Miller, Artur Dubrawski

CoRR, 2017

Noise-Tolerant Interactive Learning Using Pairwise Comparisons.

Yichong Xu, Hongyang Zhang, Aarti Singh, Artur Dubrawski, Kyle Miller

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Scaling Active Search using Linear Similarity Functions.

Sibi Venkatesan, James Kyle Miller, Jeff Schneider, Artur Dubrawski

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

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

Chirag Nagpal, Kyle Miller, Tiffany Pellathy, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

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

Chirag Nagpal, Kyle Miller, Benedikt Boecking, Artur Dubrawski

Proceedings of the 3rd Workshop on Noisy User-generated Text, 2017

2015

Performance Bounds for Pairwise Entity Resolution.

Matt Barnes, Kyle Miller, Artur Dubrawski

CoRR, 2015