Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction-Reference-Cited by-同舟云学术

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Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction

Published:2023-06-26 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 11th International Conference on Healthcare Informatics (ICHI)
language:
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Author:

Hosseinmardi Homa¹,Ghasemian Amir²,Lerman Kristina³,Narayanan Shrikanth³,Ferrara Emilio³

Affiliation:

1. University of Pennsylvania,Department of Computer and Information Science,Philadelphia,Pennsylvania,USA

2. Yale University,Human Nature Lab,New Haven,Conneticut,USA

3. University of Southern California,Information Sciences Institute,Marina Del Rey,California,USA

Funder

Office of the Director

Intelligence Advanced Research Projects Activity

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10336927/10336922/10337139.pdf?arnumber=10337139

Reference53 articles.

1. All-at-once optimization for coupled matrix and tensor factorizations;Acar,2011

2. Social fMRI: Investigating and shaping social mechanisms in the real world

3. Multiway calibration. Multilinear PLS

4. The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research

5. Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Large Language Models for Wearable Sensor-Based Human Activity Recognition, Health Monitoring, and Behavioral Modeling: A Survey of Early Trends, Datasets, and Challenges;Sensors;2024-08-04

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