| 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 | 1968 | 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 | 797 | 2020 |
| Perspectives on process monitoring of industrial systems K Severson, P Chaiwatanodom, RD Braatz Annual Reviews in Control 42, 190-200, 2016 | 166 | 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 | 131 | 2018 |
| 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 | 97 | 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 | 72 | 2020 |
| Principal component analysis of process datasets with missing values KA Severson, MC Molaro, RD Braatz Processes 5 (3), 38, 2017 | 64 | 2017 |
| 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 | 60 | 2021 |
| Virchow: A million-slide digital pathology foundation model E Vorontsov, A Bozkurt, A Casson, G Shaikovski, M Zelechowski, S Liu, ... arXiv preprint arXiv:2309.07778, 2023 | 58 | 2023 |
| 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 | 51 | 2020 |
| Optimal integration for biodiesel production using bioethanol K Severson, M Martín, IE Grossmann AIChE Journal 59 (3), 834-844, 2013 | 50 | 2013 |
| 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 | 48 | 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 | 47 | 2021 |
| Perspectives on process monitoring of industrial systems K Severson, P Chaiwatanodom, RD Braatz IFAC-PapersOnLine 48 (21), 931-939, 2015 | 45 | 2015 |
| 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 | 38 | 2015 |
| 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 | 36 | 2019 |
| 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 | 34 | 2020 |
| A foundation model for clinical-grade computational pathology and rare cancers detection E Vorontsov, A Bozkurt, A Casson, G Shaikovski, M Zelechowski, ... Nature medicine, 1-12, 2024 | 33 | 2024 |
| 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 | 29 | 2022 |
| 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 | 28 | 2022 |
