This paper is in the following e-collection/theme issue:

Foundations of AI (52) Artificial Intelligence (1682) AI Data (15)

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

Authors of this article:

Tahsin Mullick1 Author Orcid Image ;   Sam Shaaban2 Author Orcid Image ;   Ana Radovic3 Author Orcid Image ;   Afsaneh Doryab1 Author Orcid Image
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Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: Combining User-Agnostic and Personalized Modeling https://t.co/F3FBfqRc3E https://t.co/NPZivlEcmQ

1:35 PM · May 20, 2024

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JMIR AI JMIR AI @JMIR_AI

RT @jmirpub: Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: C…

1:35 PM · May 20, 2024

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Tahsin Tahsin @tahsinmullick

Excited to share that our paper on a prediction ranking framework, integrating universal and personalized machine learning for small passively sensed data, has been accepted by @JMIR_AI. This marks our commitment to unlocking predictive power in data-constrained studies. https://t.co/jugmuPzyTX

4:33 AM · May 23, 2024

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JMIR AI JMIR AI @JMIR_AI

RT @tahsinmullick: Excited to share that our paper on a prediction ranking framework, integrating universal and personalized machine learni…

3:29 PM · May 24, 2024

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