Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47805, first published .
Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: Combining User-Agnostic and Personalized Modeling

Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: Combining User-Agnostic and Personalized Modeling

Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: Combining User-Agnostic and Personalized Modeling

Journals

  1. Xu Z, Liu S. Decoding consumer purchase decisions: exploring the predictive power of EEG features in online shopping environments using machine learning. Humanities and Social Sciences Communications 2024;11(1) View
  2. Du S, Wei H, Lee D, Hu Z, Pan S. Graph-Based Physics-Guided Urban PM2.5 Air Quality Imputation with Constrained Monitoring Data. ACM Transactions on Sensor Networks 2025 View