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20182022
most citedOffline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation

34 citations · 40 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.LG20221 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.LG20202 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…

cs.LG20192 cited

Enabling Smartphone-based Estimation of Heart Rate

Nutta Homdee, Mehdi Boukhechba, Yixue W. Feng +3

Continuous, ubiquitous monitoring through wearable sensors has the potential to collect useful information about users' context. Heart rate is an important physiologic measure used…

cs.LG2019

Text Classification Algorithms: A Survey

Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa +3

In recent years, there has been an exponential growth in the number of complex documents and texts that require a deeper understanding of machine learning methods to be able to acc…

cs.LG2018

An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)

Mojtaba Heidarysafa, Kamran Kowsari, Donald E. Brown +2

The exponential growth in the number of complex datasets every year requires more enhancement in machine learning methods to provide robust and accurate data classification. Lately…

cs.LG2018

RMDL: Random Multimodel Deep Learning for Classification

Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown +2

The continually increasing number of complex datasets each year necessitates ever improving machine learning methods for robust and accurate categorization of these data. This pape…