Nariman Ammar

30 papers A* 1A 1B 1C 2Journal 10Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
Digital Health Innovations for Screening and Mitigating Mental Health Impacts of Adverse Childhood Experiences: Narrative Review.
CoRR
Brianna M. White, Rameshwari Prasad, Nariman Ammar, Jason Yaun, Arash Shaban-Nejad
2023 — conf
A Digital Personal Health Library for the Management of Abortion-Related Care via Telemedicine.
EFMI-STC
Fekede Asefa Kumsa, Brianna White, Nupur Singh, Nariman Ammar, Arash Shaban-Nejad
2023 C conf
Predicting Out-of-Hospital Vital Sign Measurements through Deep Learning.
ISCC
Khalid Alghatani, Abdelmounaam Rezgui, Nariman Ammar
2023 — conf
Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy.
MedInfo
Arash Shaban-Nejad, Nariman Ammar, Fekede Asefa Kumsa, Soheil Hashtarkhani, Brianna White, Lokesh K. Chinthala, Chase A. Owens, Neil Hayes, David L. Schwartz
2022 J jnl
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model.
CoRR
Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad
2022 J jnl
Precision Clinical Medicine Through Machine Learning: Using High and Low Quantile Ranges of Vital Signs for Risk Stratification of ICU Patients.
IEEE Access
Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, Arash Shaban-Nejad
2021 J jnl
A Digital Personal Health Library for Enabling Precision Health Promotion to Prevent Human Papilloma Virus-Associated Cancers.
Frontiers Digit. Health
Olufunto A. Olusanya, Nariman Ammar, Robert L. Davis, Robert A. Bednarczyk, Arash Shaban-Nejad
2021 J jnl
An Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response, and Management: Design and Development Study.
CoRR
Whitney S. Brakefield, Nariman Ammar, Olufunto A. Olusanya, Arash Shaban-Nejad
2021 — conf
HemPHL: A Personal Health Library and mHealth Recommender to Promote Self-Management of Hemophilia.
MIE
Olufunto A. Olusanya, Nariman Ammar, Whitney S. Brakefield, Mabel Crescioni, Janet Chupka, DeBran Tarver, Arash Shaban-Nejad
2021 J jnl
Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation.
CoRR
Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, Arash Shaban-Nejad
2021 J jnl
Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence.
CoRR
Chad A. Melton, Olufunto A. Olusanya, Nariman Ammar, Arash Shaban-Nejad
2021 — conf
SPACES: Explainable Multimodal AI for Active Surveillance, Diagnosis, and Management of Adverse Childhood Experiences (ACEs).
IEEE BigData
Nariman Ammar, Parya Zareie, Marion E. Hare, Lisa Rogers, Sandra Madubuonwu, Jason Yaun, Arash Shaban-Nejad
2021 — conf
Sentiment Analysis of the Covid-19 Vaccines on Social Media.
MedInfo
Chad A. Melton, Olufunto A. Olusanya, Nariman Ammar, Arash Shaban-Nejad
2021 — conf
UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research.
IEEE BigData
Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad
2021 J jnl
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.
CoRR
Nariman Ammar, James E. Bailey, Robert L. Davis, Arash Shaban-Nejad
2020 J jnl
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development.
CoRR
Nariman Ammar, Arash Shaban-Nejad
2020 — conf
Implementing an Urban Public Health Observatory for (Near) Real-Time Surveillance for the COVID-19 Pandemic.
EFMI-STC
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
2020 — conf
The Personal Health Library: A Single Point of Secure Access to Patient Digital Health Information.
MIE
Nariman Ammar, James E. Bailey, Robert L. Davis, Arash Shaban-Nejad
2019 — ed.
Proceedings of the 6th Annual International Conference on Arab Women in Computing, ArabWIC 2019, Research Track, Rabat, Morocco, March 7-9, 2019.
ArabWIC
Kaoutar El Maghraoui, Dalila Chiadmi, Laila Benhlima, Nariman Ammar
2017 — conf
YAFA-SOA: A GA-Based Optimizer for Optimizing Security and Cost in Service Compositions.
SCC
Wafaa Radwan, Yousef Hassouneh, Abdel Salam Sayyad, Nariman Ammar
2016 A* conf
XACML policy evaluation with dynamic context handling.
ICDE
Nariman Ammar, Zaki Malik, Abdelmounaam Rezgui, Elisa Bertino
2015 A conf
K-Anonymity Based Approach for Privacy-Preserving Web Service Selection.
ICWS
Nariman Ammar, Zaki Malik, Brahim Medjahed, Mohammed Alodib
2015 J jnl
XACML Policy Evaluation with Dynamic Context Handling.
IEEE Trans. Knowl. Data Eng.
Nariman Ammar, Zaki Malik, Elisa Bertino, Abdelmounaam Rezgui
2014 — conf
Dynamic Privacy Policy Management in Services-Based Interactions.
DEXA (2)
Nariman Ammar, Zaki Malik, Elisa Bertino, Abdelmounaam Rezgui
2014 — conf
MobiDyC: Private Mobile-based Health Data Sharing through Dynamic Context Handling.
FNC/MobiSPC
Nariman Ammar, Zaki Malik, Abdelmounaam Rezgui, Mohammed Alodib
2014 C conf
Sentiment Analysis for intelligent ratings management.
AICCSA
Khayyam Hashmi, Erfan Najmi, Nariman Ammar, Zaki Malik, Brahim Medjahed
2013 — conf
Metrics to identify where object-oriented program comprehension benefits from the runtime structure.
WETSoM
Marwan Abi-Antoun, Radu Vanciu, Nariman Ammar
2012 — conf
Empirical Evaluation of Diagrams of the Run-time Structure for Coding Tasks.
WCRE
Nariman Ammar, Marwan Abi-Antoun
2012 — conf
Extraction of ownership object graphs from object-oriented code: an experience report.
QoSA
Marwan Abi-Antoun, Nariman Ammar, Zeyad Hailat
2010 B conf
Questions about object structure during coding activities.
CHASE
Marwan Abi-Antoun, Nariman Ammar, Thomas D. LaToza