Kristen A. Severson

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2022
Feature Selection Based on Subpopulations and Propensity Score Matching: A Coronary Artery Disease Use Case using the UK Biobank.
Proceedings of the AMIA 2022, 2022

2021
DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways.
IEEE Trans. Vis. Comput. Graph., 2021

Statistical learning for accurate and interpretable battery lifetime prediction.
CoRR, 2021

2020
BEEP: A Python library for Battery Evaluation and Early Prediction.
SoftwareX, 2020

Identifying unreliable predictions in clinical risk models.
npj Digit. Medicine, 2020

Closed-loop optimization of fast-charging protocols for batteries with machine learning.
Nat., 2020

Personalized Input-Output Hidden Markov Models for Disease Progression Modeling.
Proceedings of the Machine Learning for Healthcare Conference, 2020

2019
DPVis: Visual Exploration of Disease Progression Pathways.
CoRR, 2019

Generative Oversampling with a Contrastive Variational Autoencoder.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Unsupervised Learning with Contrastive Latent Variable Models.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Challenges and opportunities in biopharmaceutical manufacturing control.
Comput. Chem. Eng., 2018

2017
A method for learning a sparse classifier in the presence of missing data for high-dimensional biological datasets.
Bioinform., 2017

2016
Perspectives on process monitoring of industrial systems.
Annu. Rev. Control., 2016

2015
Elastic net with Monte Carlo sampling for data-based modeling in biopharmaceutical manufacturing facilities.
Comput. Chem. Eng., 2015


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