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04/19/2023
Personalized State Anxiety Detection: An Empirical Study with Linguistic Biomarkers and A Machine Learning Pipeline
Individuals high in social anxiety symptoms often exhibit elevated state...
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04/03/2023
Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts
Correctly identifying an individual's social context from passively worn...
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03/29/2022
Graph Neural Networks in IoT: A Survey
The Internet of Things (IoT) boom has revolutionized almost every corner...
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12/02/2021
Improving mathematical questioning in teacher training
High-fidelity, AI-based simulated classroom systems enable teachers to r...
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12/02/2021
Evaluation of mathematical questioning strategies using data collected through weak supervision
A large body of research demonstrates how teachers' questioning strategi...
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07/02/2021
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques
Mobile Sensing Apps have been widely used as a practical approach to col...
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01/22/2021
LonelyText: A Short Messaging Based Classification of Loneliness
Loneliness does not only have emotional implications on a person but als...
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08/21/2020
Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation
Delivering treatment recommendations via pervasive electronic devices su...
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04/13/2020
Gender Detection on Social Networks using Ensemble Deep Learning
Analyzing the ever-increasing volume of posts on social media sites such...
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02/25/2020
Human Apprenticeship Learning via Kernel-based Inverse Reinforcement Learning
This paper considers if a reward function learned via inverse reinforcem...
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12/18/2019
Enabling Smartphone-based Estimation of Heart Rate
Continuous, ubiquitous monitoring through wearable sensors has the poten...
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12/09/2019
Women in ISIS Propaganda: A Natural Language Processing Analysis of Topics and Emotions in a Comparison with Mainstream Religious Group
Online propaganda is central to the recruitment strategies of extremist ...
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04/17/2019
Text Classification Algorithms: A Survey
In recent years, there has been an exponential growth in the number of c...
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10/17/2018
Analysis of Railway Accidents' Narratives Using Deep Learning
Automatic understanding of domain specific texts in order to extract use...
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10/10/2018
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
The wide implementation of electronic health record (EHR) systems facili...
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08/23/2018
An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)
The exponential growth in the number of complex datasets every year requ...
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05/03/2018
RMDL: Random Multimodel Deep Learning for Classification
The continually increasing number of complex datasets each year necessit...
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01/31/2018
Cluster-based Approach to Improve Affect Recognition from Passively Sensed Data
Negative affect is a proxy for mental health in adults. By being able to...
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09/24/2017