Kristen A. Severson

15 papers A* 2Misc 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2022 Misc conf
Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank.
AMIA
Uri Kartoun, Paul Myers, Kristen A. Severson, Wangzhi Dai, Kenney Ng, Collin M. Stultz
2021 J jnl
DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways.
IEEE Trans. Vis. Comput. Graph.
Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng
2021 J jnl
Statistical learning for accurate and interpretable battery lifetime prediction.
CoRR
Peter M. Attia, Kristen A. Severson, Jeremy D. Witmer
2020 J jnl
BEEP: A Python library for Battery Evaluation and Early Prediction.
SoftwareX
Patrick K. Herring, Chirranjeevi Balaji Gopal, Muratahan Aykol, Joseph H. Montoya, Abraham Anapolsky, Peter M. Attia, William Gent, Jens S. Hummelshøj, Linda Hung, Ha-Kyung Kwon, Patrick Moore, Daniel Schweigert, Kristen A. Severson, Santosh K. Suram, Zi Yang, Richard D. Braatz, Brian D. Storey
2020 J jnl
Closed-loop optimization of fast-charging protocols for batteries with machine learning.
Nat.
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
2020 J jnl
Identifying unreliable predictions in clinical risk models.
npj Digit. Medicine
Paul D. Myers, Kenney Ng, Kristen A. Severson, Uri Kartoun, Wangzhi Dai, Wei Huang, Fred Anderson, Collin M. Stultz
2020 — conf
Personalized Input-Output Hidden Markov Models for Disease Progression Modeling.
MLHC
Kristen A. Severson, Lana M. Chahine, Luba Smolensky, Kenney Ng, Jianying Hu, Soumya Ghosh
2019 J jnl
DPVis: Visual Exploration of Disease Progression Pathways.
CoRR
Bum Chul Kwon, Vibha Anand, Kristen A. Severson, Soumya Ghosh, Zhaonan Sun, Brigitte I. Frohnert, Markus Lundgren, Kenney Ng
2019 A* conf
Generative Oversampling with a Contrastive Variational Autoencoder.
ICDM
Wangzhi Dai, Kenney Ng, Kristen A. Severson, Wei Huang, Fred Anderson, Collin M. Stultz
2019 A* conf
Unsupervised Learning with Contrastive Latent Variable Models.
AAAI
Kristen A. Severson, Soumya Ghosh, Kenney Ng
2018 J jnl
Challenges and opportunities in biopharmaceutical manufacturing control.
Comput. Chem. Eng.
Moo Sun Hong, Kristen A. Severson, Mo Jiang, Amos E. Lu, J. Christopher Love, Richard D. Braatz
2018 J jnl
Unsupervised learning with contrastive latent variable models.
CoRR
Kristen A. Severson, Soumya Ghosh, Kenney Ng
2017 J jnl
A method for learning a sparse classifier in the presence of missing data for high-dimensional biological datasets.
Bioinform.
Kristen A. Severson, Brinda Monian, J. Christopher Love, Richard D. Braatz
2016 J jnl
Perspectives on process monitoring of industrial systems.
Annu. Rev. Control.
Kristen A. Severson, Paphonwit Chaiwatanodom, Richard D. Braatz
2015 J jnl
Elastic net with Monte Carlo sampling for data-based modeling in biopharmaceutical manufacturing facilities.
Comput. Chem. Eng.
Kristen A. Severson, Jeremy G. VanAntwerp, Venkatesh Natarajan, Chris Antoniou, Jörg Thömmes, Richard D. Braatz