69 citations · 136 across the 2 of their papers we have counts for
3 papers
Statistical learning for accurate and interpretable battery lifetime prediction
Peter M. Attia, Kristen A. Severson, Jeremy D. Witmer
Data-driven methods for battery lifetime prediction are attracting increasing attention for applications in which the degradation mechanisms are poorly understood and suitable trai…
DPVis: Visual Analytics with Hidden Markov Models for Disease Progression Pathways
Bum Chul Kwon, Vibha Anand, Kristen A Severson +5
Clinical researchers use disease progression models to understand patient status and characterize progression patterns from longitudinal health records. One approach for disease pr…
Unsupervised learning with contrastive latent variable models
Kristen Severson, Soumya Ghosh, Kenney Ng
In unsupervised learning, dimensionality reduction is an important tool for data exploration and visualization. Because these aims are typically open-ended, it can be useful to fra…