14 citations · 25 across the 5 of their papers we have counts for
5 papers
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization
Xuhai Xu, Han Zhang, Yasaman Sefidgar +13
Recent research has demonstrated the capability of behavior signals captured by smartphones and wearables for longitudinal behavior modeling. However, there is a lack of a comprehe…
Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets
Mike A. Merrill, Tim Althoff
Detailed mobile sensing data from phones, watches, and fitness trackers offer an unparalleled opportunity to quantify and act upon previously unmeasurable behavioral changes in ord…
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…
Can Smartphone Co-locations Detect Friendship? It Depends How You Model It
Momin M. Malik, Afsaneh Doryab, Michael Merrill +2
We present a study to detect friendship, its strength, and its change from smartphone location data collectedamong members of a fraternity. We extract a rich set of co-location fea…
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…