Syed Hasib Akhter Faruqui
Orcid: 0000-0002-5073-8690
According to our database1,
Syed Hasib Akhter Faruqui
authored at least 14 papers
between 2020 and 2024.
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Bibliography
2024
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network.
CoRR, 2024
Integrating A.I. in Higher Education: Protocol for a Pilot Study with 'SAMCares: An Adaptive Learning Hub'.
CoRR, 2024
Nurse-in-the-Loop Artificial Intelligence for Precision Management of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-Learned Predictive Digital Twin.
CoRR, 2024
A Laplacian regularized graph neural network for predictive modeling of multiple chronic conditions.
Comput. Methods Programs Biomed., 2024
2023
Incorporation of Eye-Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-rays: A Randomized Controlled Clinical Trial.
CoRR, 2023
Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study.
CoRR, 2023
Robust Single-view Cone-beam X-ray Pose Estimation with Neural Tuned Tomography (NeTT) and Masked Neural Radiance Fields (mNeRF).
CoRR, 2023
Proceedings of the IEEE Frontiers in Education Conference, 2023
2022
A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions.
CoRR, 2022
Contextual Bandit Guided Data Farming for Deep Neural Networks in Manufacturing Industrial Internet.
Proceedings of the 5th IEEE International Conference on Industrial Cyber-Physical Systems, 2022
2021
Nonlinear State Space Modeling and Control of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions.
CoRR, 2021
A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions.
IEEE Access, 2021
Dynamic Functional Continuous Time Bayesian Networks for Prediction and Monitoring of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions.
IEEE Access, 2021
2020
A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions.
CoRR, 2020