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2020 – today
- 2022
[c4]Uri Kartoun, Paul Myers, Kristen A. Severson, Wangzhi Dai, Kenney Ng, Collin M. Stultz:
Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank. AMIA 2022- 2021
- [j8]Bum Chul Kwon
, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng:
DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways. IEEE Trans. Vis. Comput. Graph. 27(9): 3685-3700 (2021) - [i3]Peter M. Attia, Kristen A. Severson, Jeremy D. Witmer:
Statistical learning for accurate and interpretable battery lifetime prediction. CoRR abs/2101.01885 (2021) - 2020
- [j7]Peter M. Attia, Aditya Grover, Norman Jin, Kristen A. Severson, Todor M. Markov, Yang-Hung Liao, Michael H. Chen, Bryan Cheong, Nicholas Perkins, Zi Yang, Patrick K. Herring, Muratahan Aykol, Stephen J. Harris, Richard D. Braatz, Stefano Ermon, William C. Chueh:
Closed-loop optimization of fast-charging protocols for batteries with machine learning. Nat. 578(7795): 397-402 (2020) - [j6]Paul Myers, Kenney Ng, Kristen A. Severson, Uri Kartoun, Wangzhi Dai, Wei Huang, Fred Anderson, Collin M. Stultz:
Identifying unreliable predictions in clinical risk models. npj Digit. Medicine 3 (2020) - [j5]Patrick K. Herring, Chirranjeevi Balaji Gopal, Muratahan Aykol, Joseph Montoya, Abraham Anapolsky, Peter M. Attia, William Gent, Jens S. Hummelshøj, Linda Hung, Ha-Kyung Kwon, Patrick Moore, Daniel Schweigert, Kristen A. Severson, Santosh Suram, Zi Yang, Richard D. Braatz, Brian D. Storey:
BEEP: A Python library for Battery Evaluation and Early Prediction. SoftwareX 11: 100506 (2020) - [c3]Kristen A. Severson, Lana M. Chahine, Luba Smolensky, Kenney Ng, Jianying Hu, Soumya Ghosh:
Personalized Input-Output Hidden Markov Models for Disease Progression Modeling. MLHC 2020: 309-330
2010 – 2019
- 2019
- [c2]Kristen A. Severson, Soumya Ghosh, Kenney Ng:
Unsupervised Learning with Contrastive Latent Variable Models. AAAI 2019: 4862-4869 - [c1]Wangzhi Dai, Kenney Ng, Kristen A. Severson, Wei Huang, Fred Anderson, Collin M. Stultz:
Generative Oversampling with a Contrastive Variational Autoencoder. ICDM 2019: 101-109 - [i2]Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng:
DPVis: Visual Exploration of Disease Progression Pathways. CoRR abs/1904.11652 (2019) - 2018
- [j4]Moo Sun Hong, Kristen A. Severson, Mo Jiang, Amos E. Lu, J. Christopher Love, Richard D. Braatz:
Challenges and opportunities in biopharmaceutical manufacturing control. Comput. Chem. Eng. 110: 106-114 (2018) - [i1]Kristen A. Severson, Soumya Ghosh, Kenney Ng:
Unsupervised learning with contrastive latent variable models. CoRR abs/1811.06094 (2018) - 2017
- [j3]Kristen A. Severson, Brinda Monian, J. Christopher Love, Richard D. Braatz:
A method for learning a sparse classifier in the presence of missing data for high-dimensional biological datasets. Bioinform. 33(18): 2897-2905 (2017) - 2016
- [j2]Kristen A. Severson, Paphonwit Chaiwatanodom, Richard D. Braatz:
Perspectives on process monitoring of industrial systems. Annu. Rev. Control. 42: 190-200 (2016) - 2015
- [j1]Kristen A. Severson, Jeremy G. VanAntwerp, Venkatesh Natarajan, Chris Antoniou, Jörg Thömmes, Richard D. Braatz:
Elastic net with Monte Carlo sampling for data-based modeling in biopharmaceutical manufacturing facilities. Comput. Chem. Eng. 80: 30-36 (2015)
Coauthor Index
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last updated on 2023-09-27 22:48 CEST by the dblp team
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