Questions about object structure during coding activities. - Marwan Abi-Antoun; Nariman Ammar; Thomas D. LaToza (CHASE, 2010)

Extraction of ownership object graphs from object-oriented code: an experience report. - Marwan Abi-Antoun; Nariman Ammar; Zeyad Hailat (QoSA, 2012)

Empirical Evaluation of Diagrams of the Run-time Structure for Coding Tasks. - Nariman Ammar; Marwan Abi-Antoun (WCRE, 2012)

Metrics to identify where object-oriented program comprehension benefits from the runtime structure. - Marwan Abi-Antoun; Radu Vanciu; Nariman Ammar (WETSoM, 2013)

Sentiment Analysis for intelligent ratings management. - Khayyam Hashmi; Erfan Najmi; Nariman Ammar; Zaki Malik; Brahim Medjahed (AICCSA, 2014)

Dynamic Privacy Policy Management in Services-Based Interactions. - Nariman Ammar; Zaki Malik; Elisa Bertino; Abdelmounaam Rezgui (DEXA (2), 2014)

MobiDyC: Private Mobile-based Health Data Sharing through Dynamic Context Handling. - Nariman Ammar; Zaki Malik; Abdelmounaam Rezgui; Mohammed Alodib (FNC/MobiSPC, 2014)

K-Anonymity Based Approach for Privacy-Preserving Web Service Selection. - Nariman Ammar; Zaki Malik; Brahim Medjahed; Mohammed Alodib (ICWS, 2015)

XACML Policy Evaluation with Dynamic Context Handling. - Nariman Ammar; Zaki Malik; Elisa Bertino; Abdelmounaam Rezgui (IEEE Trans. Knowl. Data Eng., 2015)

YAFA-SOA: A GA-Based Optimizer for Optimizing Security and Cost in Service Compositions. - Wafaa Radwan; Yousef Hassouneh; Abdel Salam Sayyad; Nariman Ammar (SCC, 2017)

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)

Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development. - Nariman Ammar; Arash Shaban-Nejad (CoRR, 2020)

SPACES: Explainable Multimodal AI for Active Surveillance, Diagnosis, and Management of Adverse Childhood Experiences (ACEs). - Nariman Ammar; Parya Zareie; Marion E. Hare; Lisa Rogers; Sandra Madubuonwu; Jason Yaun; Arash Shaban-Nejad (IEEE BigData, 2021)

UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research. - Whitney S. Brakefield; Nariman Ammar; Arash Shaban-Nejad (IEEE BigData, 2021)

Sentiment Analysis of the Covid-19 Vaccines on Social Media. - Chad A. Melton; Olufunto A. Olusanya; Nariman Ammar; Arash Shaban-Nejad (MedInfo, 2021)

HemPHL: A Personal Health Library and mHealth Recommender to Promote Self-Management of Hemophilia. - Olufunto A. Olusanya; Nariman Ammar; Whitney S. Brakefield; Mabel Crescioni; Janet Chupka; DeBran Tarver; Arash Shaban-Nejad (MIE, 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)

Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation. - Khalid Alghatani; Nariman Ammar; Abdelmounaam Rezgui; Arash Shaban-Nejad (CoRR, 2021)

An Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response, and Management: Design and Development Study. - Whitney S. Brakefield; Nariman Ammar; Olufunto A. Olusanya; Arash Shaban-Nejad (CoRR, 2021)

Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence. - Chad A. Melton; Olufunto A. Olusanya; Nariman Ammar; 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)

Precision Clinical Medicine Through Machine Learning: Using High and Low Quantile Ranges of Vital Signs for Risk Stratification of ICU Patients. - Khalid Alghatani; Nariman Ammar; Abdelmounaam Rezgui; Arash Shaban-Nejad (IEEE Access, 2022)

An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model. - Whitney S. Brakefield; Nariman Ammar; Arash Shaban-Nejad (CoRR, 2022)

A Digital Personal Health Library for the Management of Abortion-Related Care via Telemedicine. - Fekede Asefa Kumsa; Brianna White; Nupur Singh; Nariman Ammar; Arash Shaban-Nejad (EFMI-STC, 2023)

Predicting Out-of-Hospital Vital Sign Measurements through Deep Learning. - Khalid Alghatani; Abdelmounaam Rezgui; Nariman Ammar (ISCC, 2023)

Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy. - Arash Shaban-Nejad; Nariman Ammar; Fekede Asefa Kumsa; Soheil Hashtarkhani; Brianna White; Lokesh K. Chinthala; Chase A. Owens; Neil Hayes; David L. Schwartz (MedInfo, 2023)

Digital Health Innovations for Screening and Mitigating Mental Health Impacts of Adverse Childhood Experiences: Narrative Review. - Brianna M. White; Rameshwari Prasad; Nariman Ammar; Jason Yaun; Arash Shaban-Nejad (CoRR, 2025)