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ORCIDSyed Hasib Akhter Faruqui
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2020 – today
- 2024
[j3]Julian Carvajal Rico
, Adel Alaeddini, Syed Hasib Akhter Faruqui, Susan P. Fisher-Hoch, Joseph B. Mccormick:
A Laplacian regularized graph neural network for predictive modeling of multiple chronic conditions. Comput. Methods Programs Biomed. 247: 108058 (2024)- [i9]Syed Hasib Akhter Faruqui, Adel Alaeddini, Yan Du, Shiyu Li, Kumar Sharma, Jing Wang:
Nurse-in-the-Loop Artificial Intelligence for Precision Management of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-Learned Predictive Digital Twin. CoRR abs/2401.02661 (2024) - [i8]Syed Hasib Akhter Faruqui, Nazia Tasnim, Iftekhar Ibne Basith, Suleiman Obeidat, Faruk Yildiz:
Integrating A.I. in Higher Education: Protocol for a Pilot Study with 'SAMCares: An Adaptive Learning Hub'. CoRR abs/2405.00330 (2024) - [i7]Julian Carvajal Rico, Adel Alaeddini, Syed Hasib Akhter Faruqui, Susan P. Fisher-Hoch, Joseph B. Mccormick:
A Generative Framework for Predictive Modeling of Multiple Chronic Conditions Using Graph Variational Autoencoder and Bandit-Optimized Graph Neural Network. CoRR abs/2409.13671 (2024) - 2023
- [c2]Iftekhar Ibne Basith, Syed Hasib Akhter Faruqui, Vajih Khan, Suleiman Obeidat, Sumith Yesudasan:
WIP: STEM Course Enhancement - Animated Safety Modules for Freshman Circuit Class. FIE 2023: 1-3 - [i6]Chaochao Zhou, Syed Hasib Akhter Faruqui, Abhinav Patel, Ramez N. Abdalla, Michael C. Hurley, Ali Shaibani, Matthew B. Potts, Babak S. Jahromi, Leon Cho, Sameer A. Ansari, Donald R. Cantrell:
Robust Single-view Cone-beam X-ray Pose Estimation with Neural Tuned Tomography (NeTT) and Masked Neural Radiance Fields (mNeRF). CoRR abs/2308.00214 (2023) - [i5]Stanford Martinez, Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Kal Clark, Adel Alaeddini, Nicholas Czarnek, Aarushi Aggarwal, Sahra Emamzadeh, Jeffrey R. Mock, Edward J. Golob:
Discrimination of Radiologists Utilizing Eye-Tracking Technology and Machine Learning: A Case Study. CoRR abs/2308.02748 (2023) - [i4]Carolina Ramirez-Tamayo, Syed Hasib Akhter Faruqui, Stanford Martinez, Angel Brisco, Nicholas Czarnek, Adel Alaeddini, Jeffrey R. Mock, Edward J. Golob, Kal L. Clark:
Incorporation of Eye-Tracking and Gaze Feedback to Characterize and Improve Radiologist Search Patterns of Chest X-rays: A Randomized Controlled Clinical Trial. CoRR abs/2308.06280 (2023) - 2022
- [c1]Yingyan Zeng, Parshin Shojaee, Syed Hasib Akhter Faruqui, Adel Alaeddini, Ran Jin:
Contextual Bandit Guided Data Farming for Deep Neural Networks in Manufacturing Industrial Internet. ICPS 2022: 1-6 - [i3]Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Susan P. Fisher-Hoch, Joseph B. Mccormick, Julian Carvajal Rico:
A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions. CoRR abs/2205.13639 (2022) - 2021
- [j2]Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Carlos A. Jaramillo, Mary Jo Pugh:
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 9: 148076-148089 (2021) - [j1]Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Susan P. Fisher-Hoch, Joseph B. Mccormick:
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 9: 169092-169106 (2021) - [i2]Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Susan P. Fisher-Hoch, Joseph B. McCormic:
Nonlinear State Space Modeling and Control of the Impact of Patients' Modifiable Lifestyle Behaviors on the Emergence of Multiple Chronic Conditions. CoRR abs/2107.13394 (2021) - 2020
- [i1]Syed Hasib Akhter Faruqui, Adel Alaeddini, Jing Wang, Carlos A. Jaramillo:
A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions. CoRR abs/2007.15847 (2020)
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