no code implementations • 19 Dec 2023 • Guimin Dong, Lihua Cai, Mingyue Tang, Laura E. Barnes, Mehdi Boukhechba
We evaluate FedMobile using a real-world mobile sensing dataset for influenza-like symptom recognition.
no code implementations • 19 Apr 2023 • Zhiyuan Wang, Mingyue Tang, Maria A. Larrazabal, Emma R. Toner, Mark Rucker, Congyu Wu, Bethany A. Teachman, Mehdi Boukhechba, Laura E. Barnes
To address this concern, in Study 1, we collected linguistic data from N=35 high socially anxious participants in a variety of social contexts, finding that digital linguistic biomarkers significantly differ between evaluative vs. non-evaluative social contexts and between individuals having different trait psychological symptoms, suggesting the likely importance of personalized approaches to detect state anxiety.
1 code implementation • 29 Mar 2022 • Guimin Dong, Mingyue Tang, Zhiyuan Wang, Jiechao Gao, Sikun Guo, Lihua Cai, Robert Gutierrez, Bradford Campbell, Laura E. Barnes, Mehdi Boukhechba
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.
no code implementations • 2 Dec 2021 • Debajyoti Datta, Maria Phillips, James P Bywater, Jennifer Chiu, Ginger S. Watson, Laura E. Barnes, Donald E Brown
Using recent advances in uncertainty quantification, we evaluated our conversational agent for usability and analyzed the practicality of incorporating a human-in-the-loop approach for data collection and system evaluation for a mathematical questioning scenario.
no code implementations • 2 Dec 2021 • Debajyoti Datta, Maria Phillips, James P Bywater, Jennifer Chiu, Ginger S. Watson, Laura E. Barnes, Donald E Brown
High-fidelity, AI-based simulated classroom systems enable teachers to rehearse effective teaching strategies.
no code implementations • 2 Jul 2021 • Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Laura E. Barnes, Daqing Zhang, Dejing Dou
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 health and well-beings, such as mental health and chronic cares.
no code implementations • 22 Jan 2021 • Mawulolo K. Ameko, Sonia Baee, Laura E. Barnes
Loneliness does not only have emotional implications on a person but also on his/her well-being.
no code implementations • 21 Aug 2020 • Mawulolo K. Ameko, Miranda L. Beltzer, Lihua Cai, Mehdi Boukhechba, Bethany A. Teachman, Laura E. Barnes
Our experimentation shows that the proposed doubly robust offline learning algorithms performed significantly better than baseline approaches, suggesting that this type of recommender algorithm could improve emotion regulation.
no code implementations • 13 Apr 2020 • Kamran Kowsari, Mojtaba Heidarysafa, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
Analyzing the ever-increasing volume of posts on social media sites such as Facebook and Twitter requires improved information processing methods for profiling authorship.
1 code implementation • 25 Feb 2020 • Mark A. Rucker, Layne T. Watson, Matthew S. Gerber, Laura E. Barnes
The goal of this aid is to increase the speed with which humans can learn good policies for specific tasks.
no code implementations • 18 Dec 2019 • Nutta Homdee, Mehdi Boukhechba, Yixue W. Feng, Natalie Kramer, John Lach, Laura E. Barnes
The promising results provide preliminary evidence of the feasibility of combining smartphone sensor data with wearable sensor data for continuous heart rate monitoring.
no code implementations • 9 Dec 2019 • Mojtaba Heidarysafa, Kamran Kowsari, Tolu Odukoya, Philip Potter, Laura E. Barnes, Donald E. Brown
Online propaganda is central to the recruitment strategies of extremist groups and in recent years these efforts have increasingly extended to women.
2 code implementations • 17 Apr 2019 • Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura E. Barnes, Donald E. Brown
In this paper, a brief overview of text classification algorithms is discussed.
1 code implementation • 17 Oct 2018 • Mojtaba Heidarysafa, Kamran Kowsari, Laura E. Barnes, Donald E. Brown
These reports contain a variety of fixed field entries including primary cause of the accidents (a coded variable with 389 values) as well as a narrative field which is a short text description of the accident.
1 code implementation • 10 Oct 2018 • Jinghe Zhang, Kamran Kowsari, James H. Harrison, Jennifer M. Lobo, Laura E. Barnes
The wide implementation of electronic health record (EHR) systems facilitates the collection of large-scale health data from real clinical settings.
1 code implementation • 23 Aug 2018 • Mojtaba Heidarysafa, Kamran Kowsari, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes
In this paper, we describe RMDL model and compare the results for image and text classification as well as face recognition.
1 code implementation • 3 May 2018 • Kamran Kowsari, Mojtaba Heidarysafa, Donald E. Brown, Kiana Jafari Meimandi, Laura E. Barnes
This paper introduces Random Multimodel Deep Learning (RMDL): a new ensemble, deep learning approach for classification.
no code implementations • 31 Jan 2018 • Mawulolo K. Ameko, Lihua Cai, Mehdi Boukhechba, Alexander Daros, Philip I. Chow, Bethany A. Teachman, Matthew S. Gerber, Laura E. Barnes
Negative affect is a proxy for mental health in adults.
3 code implementations • 24 Sep 2017 • Kamran Kowsari, Donald E. Brown, Mojtaba Heidarysafa, Kiana Jafari Meimandi, Matthew S. Gerber, Laura E. Barnes
This is because along with this growth in the number of documents has come an increase in the number of categories.
Ranked #1 on Document Classification on WOS-46985