84 citations · 342 across the 31 of their papers we have counts for
3 papers · 1 filter
Learning Identity-Preserving Transformations on Data Manifolds
Marissa Connor, Kion Fallah, Christopher Rozell
Many machine learning techniques incorporate identity-preserving transformations into their models to generalize their performance to previously unseen data. These transformations…
Late fusion of machine learning models using passively captured interpersonal social interactions and motion from smartphones predicts decompensation in heart failure
Ayse S. Cakmak, Samuel Densen, Gabriel Najarro +5
Objective: Worldwide, heart failure (HF) is a major cause of morbidity and mortality and one of the leading causes of hospitalization. Early detection of HF symptoms and pro-active…
Feedback Coding for Active Learning
Gregory Canal, Matthieu Bloch, Christopher Rozell
The iterative selection of examples for labeling in active machine learning is conceptually similar to feedback channel coding in information theory: in both tasks, the objective i…