The ILLIAC IV Processing Element. - Robert L. Davis (IEEE Trans. Computers, 1969)

Uniform shift networks. - Robert L. Davis (Computer, 1974)

Screening of wide area search reconnaissance imagery. - Robert L. Davis (ICIP (1), 2001)

Performance Evaluation of Parallel Sparse Linear Equation Solvers for Positive Definite Systems. - Robert L. Davis; Brian J. Henz; Dale R. Shires (PDPTA, 2003)

Analyzing Electronic Medical Records to Predict Risk of DIT (Death, Intubation, or Transfer to ICU) in Pediatric Respiratory Failure or Related Conditions. - Teeradache Viangteeravat; Oguz Akbilgic; Robert L. Davis (CRI, 2017)

POLE.VAULT: A Semantic Framework for Health Policy Evaluation and Logical Testing. - Arash Shaban-Nejad; Anya Okhmatovskaia; Eun Kyong Shin; Robert L. Davis; David L. Buckeridge (MedInfo, 2017)

Proceedings of the 16th Annual UT-KBRIN Bioinformatics Summit 2016: bioinformatics: Burns, TN, USA. April 21-23, 2017. - Eric C. Rouchka; Julia H. Chariker; David Tieri; Juw Won Park; Shreedharkumar D. Rajurkar; Vikas Singh; Nishchal K. Verma; Yan Cui 001; Mark L. Farman; Bradford Condon; Neil Moore; Jerzy W. Jaromczyk; et al. (BMC Bioinform., 2017)

A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier. - Franco van Wyk; Anahita Khojandi; Akram Mohammed; Edmon Begoli; Robert L. Davis; Rishikesan Kamaleswaran (Int. J. Medical Informatics, 2019)

A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. - Franco van Wyk; Anahita Khojandi; Brian Williams; Don Macmillan; Robert L. Davis; Daniel A. Jacobson; Rishikesan Kamaleswaran (J. Heal. Informatics Res., 2019)

Correction to: A Cost-Benefit Analysis of Automated Physiological Data Acquisition Systems Using Data-Driven Modeling. - Franco van Wyk; Anahita Khojandi; Brian Williams; Don Macmillan; Robert L. Davis; Daniel A. Jacobson; Rishikesan Kamaleswaran (J. Heal. Informatics Res., 2019)

Implementing an Urban Public Health Observatory for (Near) Real-Time Surveillance for the COVID-19 Pandemic. - Whitney S. Brakefield; Nariman Ammar; Olufunto A. Olusanya; Esra Ozdenerol; Fridtjof Thomas; Altha J. Stewart; Karen C. Johnson; Robert L. Davis; David L. Schwartz; Arash Shaban-Nejad (EFMI-STC, 2020)

The Personal Health Library: A Single Point of Secure Access to Patient Digital Health Information. - Nariman Ammar; James E. Bailey; Robert L. Davis; Arash Shaban-Nejad (MIE, 2020)

HeMA: A hierarchically enriched machine learning approach for managing false alarms in real time: A sepsis prediction case study. - Zeyu Liu 002; Anahita Khojandi; Akram Mohammed; Xueping Li; Lokesh K. Chinthala; Robert L. Davis; Rishikesan Kamaleswaran (Comput. Biol. Medicine, 2021)

Using a Personal Health Library-Enabled mHealth Recommender System for Self-Management of Diabetes Among Underserved Populations: Use Case for Knowledge Graphs and Linked Data. - Nariman Ammar; James E. Bailey; Robert L. Davis; Arash Shaban-Nejad (CoRR, 2021)

A Digital Personal Health Library for Enabling Precision Health Promotion to Prevent Human Papilloma Virus-Associated Cancers. - Olufunto A. Olusanya; Nariman Ammar; Robert L. Davis; Robert A. Bednarczyk; Arash Shaban-Nejad (Frontiers Digit. Health, 2021)

3D deep neural network to automatically identify TSC structural brain pathology based on MRI. - Mahdieh Shabanian; Abdullah-Al-Zubaer Imran; Adeel Siddiqui; Robert L. Davis; John J. Bissler (Image Processing, 2022)

Fine-tuned Sentiment Analysis of COVID-19 Vaccine-Related Social Media Data: Comparative Study. - Chad A. Melton; Brianna M. White; Robert L. Davis; Robert A. Bednarczyk; Arash Shaban-Nejad (CoRR, 2022)

A Machine Learning-Enabled Partially Observable Markov Decision Process Framework for Early Sepsis Prediction. - Zeyu Liu 002; Anahita Khojandi; Xueping Li; Akram Mohammed; Robert L. Davis; Rishikesan Kamaleswaran (INFORMS J. Comput., 2022)

Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis. - Brianna M. White; Chad A. Melton; Parya Zareie; Robert L. Davis; Robert A. Bednarczyk; Arash Shaban-Nejad (CoRR, 2023)

AI-Ready Multimodal Data Pipeline to Enrich Cancer Care. - Rezaur Rashid; Soheil Hashtarkhani; Fekede Asefa Kumsa; Lokesh K. Chinthala; Brianna M. White; Janet A ZinK; Christopher L. Brett; Robert L. Davis; David L. Schwartz; Arash Shaban-Nejad (IEEE Big Data, 2024)