activity
20172023
most citedText Classification Algorithms: A Survey

1.3k citations · 2.3k across the 16 of their papers we have counts for

collaborators

17 papers

cs.HC2023★ 1 cited

Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline

Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal +6

Individuals high in social anxiety symptoms often exhibit elevated state anxiety in social situations. Research has shown it is possible to detect state anxiety by leveraging digit…

cs.LG2022★ 1 cited

Graph Neural Networks in IoT: A Survey

Guimin Dong, Mingyue Tang, Zhiyuan Wang +7

The Internet of Things (IoT) boom has revolutionized almost every corner of people's daily lives: healthcare, home, transportation, manufacturing, supply chain, and so on. With the…

cs.LG2021★ 52 cited

From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques

Zhiyuan Wang, Haoyi Xiong, Jie Zhang +5

Mobile Sensing Apps have been widely used as a practical approach to collect behavioral and health-related information from individuals and provide timely intervention to promote h…

eess.SY2021★ 1 cited

Collision Prediction and Prevention in Contact Sports Using RFID tags and Haptic Feedback

Moeen Mostafavi, Fateme Nikseresht, Jacob Earl Resch +2

American football is a leading sport for contact-related injuries such as cervical spine injuries, some of which result from an unforeseen hit. The use of a feedback mechanism to a…

cs.LG2020★ 2 cited

Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients

Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba +3

Chronic kidney disease (CKD) is a gradual loss of renal function over time, and it increases the risk of mortality, decreased quality of life, as well as serious complications. The…

eess.SP2020

HHAR-net: Hierarchical Human Activity Recognition using Neural Networks

Mehrdad Fazli, Kamran Kowsari, Erfaneh Gharavi +2

Activity recognition using built-in sensors in smart and wearable devices provides great opportunities to understand and detect human behavior in the wild and gives a more holistic…