Kristen A Severson
Kristen A Severson
Microsoft Research
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Cited by
Data-driven prediction of battery cycle life before capacity degradation
KA Severson, PM Attia, N Jin, N Perkins, B Jiang, Z Yang, MH Chen, ...
Nature Energy 4 (5), 383-391, 2019
Closed-loop optimization of fast-charging protocols for batteries with machine learning
PM Attia, A Grover, N Jin, KA Severson, TM Markov, YH Liao, MH Chen, ...
Nature 578 (7795), 397-402, 2020
Perspectives on process monitoring of industrial systems
K Severson, P Chaiwatanodom, RD Braatz
Annual Reviews in Control 42, 190-200, 2016
Challenges and opportunities in biopharmaceutical manufacturing control
MS Hong, KA Severson, M Jiang, AE Lu, JC Love, RD Braatz
Computers & Chemical Engineering 110, 106-114, 2018
Braatz RD. 2015
K Severson, P Chaiwatonadom
Perspectives on process monitoring of industrial systems//IFAC-Papers Online …, 0
Opportunities and challenges of real‐time release testing in biopharmaceutical manufacturing
M Jiang, KA Severson, JC Love, H Madden, P Swann, L Zang, RD Braatz
Biotechnology and Bioengineering 114 (11), 2445-2456, 2017
DPVis: Visual analytics with hidden markov models for disease progression pathways
BC Kwon, V Anand, KA Severson, S Ghosh, Z Sun, BI Frohnert, ...
IEEE transactions on visualization and computer graphics 27 (9), 3685-3700, 2020
Principal component analysis of process datasets with missing values
KA Severson, MC Molaro, RD Braatz
Processes 5 (3), 38, 2017
Optimal integration for biodiesel production using bioethanol
K Severson, M Martín, IE Grossmann
AIChE Journal 59 (3), 834-844, 2013
BEEP: A python library for battery evaluation and early prediction
P Herring, CB Gopal, M Aykol, JH Montoya, A Anapolsky, PM Attia, ...
SoftwareX 11, 100506, 2020
Discovery of Parkinson's disease states and disease progression modelling: a longitudinal data study using machine learning
KA Severson, LM Chahine, LA Smolensky, M Dhuliawala, M Frasier, K Ng, ...
The Lancet Digital Health 3 (9), e555-e564, 2021
Unsupervised learning with contrastive latent variable models
KA Severson, S Ghosh, K Ng
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4862-4869, 2019
Statistical learning for accurate and interpretable battery lifetime prediction
PM Attia, KA Severson, JD Witmer
Journal of The Electrochemical Society 168 (9), 090547, 2021
Elastic net with Monte Carlo sampling for data-based modeling in biopharmaceutical manufacturing facilities
K Severson, JG VanAntwerp, V Natarajan, C Antoniou, J Thömmes, ...
Computers & Chemical Engineering 80, 30-36, 2015
Perspectives on process monitoring of industrial systems
K Severson, P Chaiwatanodom, RD Braatz
IFAC-PapersOnLine 48 (21), 931-939, 2015
Personalized input-output hidden markov models for disease progression modeling
KA Severson, LM Chahine, L Smolensky, K Ng, J Hu, S Ghosh
Machine learning for healthcare conference, 309-330, 2020
Generative oversampling with a contrastive variational autoencoder
W Dai, K Ng, K Severson, W Huang, F Anderson, C Stultz
2019 IEEE international conference on data mining (ICDM), 101-109, 2019
Data-driven model for lithium-ion battery capacity fade and lifetime prediction
KA Severson, RD Braatz, WC Chueh, PM Attia, N Jin, SJ Harris, N Perkins
US Patent 11,226,374, 2022
Identifying unreliable predictions in clinical risk models
PD Myers, K Ng, K Severson, U Kartoun, W Dai, W Huang, FA Anderson, ...
NPJ digital medicine 3 (1), 8, 2020
Identifying patterns in amyotrophic lateral sclerosis progression from sparse longitudinal data
D Ramamoorthy, K Severson, S Ghosh, K Sachs, JD Glass, CN Fournier, ...
Nature Computational Science 2 (9), 605-616, 2022
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