Niall Higgins

18 papers Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Towards Transparent Deep Learning in Medicine: Feature Contribution and Attention Mechanism-Based Explainability.
Hum. Centric Intell. Syst.
Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Niall Higgins, Juan D. Velásquez
2024 — conf
A Combined Sentiment Analysis of Twitter for Identifying Users with Depression.
BESC
Abinaya Gopalakrishnan, Xujuan Zhou, Revathi Venkataraman, Raj Gururajan, Ka Ching Chan, Guohun Zhu, Niall Higgins
2024 J jnl
A survey of autonomous monitoring systems in mental health.
WIREs Data. Mining. Knowl. Discov.
Abinaya Gopalakrishnan, Raj Gururajan, Xujuan Zhou, Revathi Venkataraman, Ka Ching Chan, Niall Higgins
2024 J jnl
Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion.
Pattern Recognit. Lett.
Thanveer Shaik, Xiaohui Tao, Lin Li, Niall Higgins, Raj Gururajan, Xujuan Zhou, Jianming Yong
2024 J jnl
Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning.
CoRR
Rajib Rana, Niall Higgins, Kazi Nazmul Haque, John Reilly, Kylie Burke, Kathryn Turner, Terry Stedman
2023 J jnl
AI enabled RPM for Mental Health Facility.
CoRR
Thanveer Shaik, Xiaohui Tao, Niall Higgins, Haoran Xie, Raj Gururajan, Xujuan Zhou
2023 J jnl
Clustered FedStack: Intermediate Global Models with Bayesian Information Criterion.
CoRR
Thanveer Shaik, Xiaohui Tao, Lin Li, Niall Higgins, Raj Gururajan, Xujuan Zhou, Jianming Yong
2023 J jnl
Natural Language Processing in Electronic Health Records in Relation to Healthcare Decision-making: A Systematic Review.
CoRR
Elias Hossain, Rajib Rana, Niall Higgins, Jeffrey Soar, Prabal Datta Barua, Anthony R. Pisani, Kathryn Turner
2023 J jnl
Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review.
Comput. Biol. Medicine
Elias Hossain, Rajib Rana, Niall Higgins, Jeffrey Soar, Prabal Datta Barua, Anthony R. Pisani, Kathryn Turner
2023 J jnl
QXAI: Explainable AI Framework for Quantitative Analysis in Patient Monitoring Systems.
CoRR
Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Juan D. Velásquez, Niall Higgins
2023 J jnl
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges.
CoRR
Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya
2023 J jnl
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges.
WIREs Data. Mining. Knowl. Discov.
Thanveer Shaik, Xiaohui Tao, Niall Higgins, Lin Li, Raj Gururajan, Xujuan Zhou, U. Rajendra Acharya
2022 — conf
AI enabled RPM for mental health facility.
MWSSH@MobiCom
Thanveer Shaik, Xiaohui Tao, Niall Higgins, Haoran Xie, Raj Gururajan, Xujuan Zhou
2022 J jnl
FedStack: Personalized activity monitoring using stacked federated learning.
CoRR
Thanveer Shaik, Xiaohui Tao, Niall Higgins, Raj Gururajan, Yuefeng Li, Xujuan Zhou, U. Rajendra Acharya
2022 J jnl
FedStack: Personalized activity monitoring using stacked federated learning.
Knowl. Based Syst.
Thanveer Shaik, Xiaohui Tao, Niall Higgins, Raj Gururajan, Yuefeng Li, Xujuan Zhou, U. Rajendra Acharya
2021 J jnl
An evaluation of a video magnification-based system for respiratory rate monitoring in an acute mental health setting.
Int. J. Medical Informatics
Jordan Laurie, Niall Higgins, Thierry Peynot, Lisa Fawcett, Jonathan Roberts
2021 J jnl
Remote Patient Monitoring Using Radio Frequency Identification (RFID) Technology and Machine Learning for Early Detection of Suicidal Behaviour in Mental Health Facilities.
Sensors
Xiaohui Tao, Thanveer Basha Shaik, Niall Higgins, Raj Gururajan, Xujuan Zhou
2020 J jnl
Dedicated Exposure Control for Remote Photoplethysmography.
IEEE Access
Jordan Laurie, Niall Higgins, Thierry Peynot, Jonathan Roberts