49 citations · 209 across the 12 of their papers we have counts for
3 papers · 1 filter
Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets
Mike A. Merrill, Tim Althoff
While deep learning has revolutionized research and applications in NLP and computer vision, this has not yet been the case for behavioral modeling and behavioral health applicatio…
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis
Ge Zhang, Mike A. Merrill, Yang Liu +2
Large scale analysis of source code, and in particular scientific source code, holds the promise of better understanding the data science process, identifying analytical best pract…
Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data
Haraldur T. Hallgrímsson, Filip Jankovic, Tim Althoff +1
We consider the problem of modeling cardiovascular responses to physical activity and sleep changes captured by wearable sensors in free living conditions. We use an attentional co…