Nariman Ammar

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 19

Top Topics

Radiation Therapy

Web Service Selection

Sentiment Analysis

Intensive Care Unit

Top Venues

Publications

Khalid Alghatani, Abdelmounaam Rezgui, Nariman Ammar
Predicting Out-of-Hospital Vital Sign Measurements through Deep Learning. ISCC (2023)
Fekede Asefa Kumsa, Brianna White, Nupur Singh, Nariman Ammar, Arash Shaban-Nejad
A Digital Personal Health Library for the Management of Abortion-Related Care via Telemedicine. EFMI-STC (2023)
Arash Shaban-Nejad, Nariman Ammar, Fekede Asefa Kumsa, Soheil Hashtarkhani, Brianna White, Lokesh K. Chinthala, Chase A. Owens, Neil Hayes, David L. Schwartz
Towards an Explainable AI Platform to Study Interruptions in Cancer Radiation Therapy. MedInfo (2023)
Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, Arash Shaban-Nejad
Precision Clinical Medicine Through Machine Learning: Using High and Low Quantile Ranges of Vital Signs for Risk Stratification of ICU Patients. IEEE Access 10 (2022)
Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model. CoRR (2022)
Whitney S. Brakefield, Nariman Ammar, Arash Shaban-Nejad
UPHO: Leveraging an Explainable Multimodal Big Data Analytics Framework for COVID-19 Surveillance and Research. IEEE BigData (2021)
Nariman Ammar, Parya Zareie, Marion E. Hare, Lisa Rogers, Sandra Madubuonwu, Jason Yaun, Arash Shaban-Nejad
SPACES: Explainable Multimodal AI for Active Surveillance, Diagnosis, and Management of Adverse Childhood Experiences (ACEs). IEEE BigData (2021)
Chad A. Melton, Olufunto A. Olusanya, Nariman Ammar, Arash Shaban-Nejad
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 (2021)
Olufunto A. Olusanya, Nariman Ammar, Robert L. Davis, Robert A. Bednarczyk, Arash Shaban-Nejad
A Digital Personal Health Library for Enabling Precision Health Promotion to Prevent Human Papilloma Virus-Associated Cancers. Frontiers Digit. Health 3 (2021)
Whitney S. Brakefield, Nariman Ammar, Olufunto A. Olusanya, Arash Shaban-Nejad
An Urban Population Health Observatory System to Support COVID-19 Pandemic Preparedness, Response, and Management: Design and Development Study. CoRR (2021)
Nariman Ammar, James E. Bailey, Robert L. Davis, Arash Shaban-Nejad
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 (2021)
Khalid Alghatani, Nariman Ammar, Abdelmounaam Rezgui, Arash Shaban-Nejad
Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation. CoRR (2021)
Chad A. Melton, Olufunto A. Olusanya, Nariman Ammar, Arash Shaban-Nejad
Sentiment Analysis of the Covid-19 Vaccines on Social Media. MedInfo (2021)
Olufunto A. Olusanya, Nariman Ammar, Whitney S. Brakefield, Mabel Crescioni, Janet Chupka, DeBran Tarver, Arash Shaban-Nejad
HemPHL: A Personal Health Library and mHealth Recommender to Promote Self-Management of Hemophilia. MIE (2021)
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
Implementing an Urban Public Health Observatory for (Near) Real-Time Surveillance for the COVID-19 Pandemic. EFMI-STC (2020)
Nariman Ammar, James E. Bailey, Robert L. Davis, Arash Shaban-Nejad
The Personal Health Library: A Single Point of Secure Access to Patient Digital Health Information. MIE (2020)
Nariman Ammar, Arash Shaban-Nejad
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development. CoRR (2020)
Wafaa Radwan, Yousef Hassouneh, Abdel Salam Sayyad, Nariman Ammar
YAFA-SOA: A GA-Based Optimizer for Optimizing Security and Cost in Service Compositions. SCC (2017)
Nariman Ammar, Zaki Malik, Abdelmounaam Rezgui, Elisa Bertino
XACML policy evaluation with dynamic context handling. ICDE (2016)
Nariman Ammar, Zaki Malik, Elisa Bertino, Abdelmounaam Rezgui
XACML Policy Evaluation with Dynamic Context Handling. IEEE Trans. Knowl. Data Eng. 27 (9) (2015)
Nariman Ammar, Zaki Malik, Brahim Medjahed, Mohammed Alodib
K-Anonymity Based Approach for Privacy-Preserving Web Service Selection. ICWS (2015)
Nariman Ammar, Zaki Malik, Elisa Bertino, Abdelmounaam Rezgui
Dynamic Privacy Policy Management in Services-Based Interactions. DEXA (2) (2014)
Khayyam Hashmi, Erfan Najmi, Nariman Ammar, Zaki Malik, Brahim Medjahed
Sentiment Analysis for intelligent ratings management. AICCSA (2014)
Nariman Ammar, Zaki Malik, Abdelmounaam Rezgui, Mohammed Alodib
MobiDyC: Private Mobile-based Health Data Sharing through Dynamic Context Handling. FNC/MobiSPC (2014)
Marwan Abi-Antoun, Radu Vanciu, Nariman Ammar
Metrics to identify where object-oriented program comprehension benefits from the runtime structure. WETSoM (2013)
Marwan Abi-Antoun, Nariman Ammar, Zeyad Hailat
Extraction of ownership object graphs from object-oriented code: an experience report. QoSA (2012)
Nariman Ammar, Marwan Abi-Antoun
Empirical Evaluation of Diagrams of the Run-time Structure for Coding Tasks. WCRE (2012)
Marwan Abi-Antoun, Nariman Ammar, Thomas D. LaToza
Questions about object structure during coding activities. CHASE (2010)