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ORCIDKristen A. Severson
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Kristen Severson 0001 (aka: Kristen A. Severson 0001) — Microsoft Research, Cambridge, MA, USA
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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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