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2020 – today
- 2023
[c19]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: 3-7- [c18]Khalid Alghatani, Abdelmounaam Rezgui, Nariman Ammar:
Predicting Out-of-Hospital Vital Sign Measurements through Deep Learning. ISCC 2023: 1-4 - [c17]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: 1501-1502 - 2022
- [j3]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: 52418-52430 (2022) - [i6]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 abs/2208.04144 (2022) - 2021
- [j2]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: 683161 (2021) - [c16]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: 5843-5847 - [c15]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: 5854-5858 - [c14]Chad A. Melton, Olufunto A. Olusanya, Nariman Ammar, Arash Shaban-Nejad:
Sentiment Analysis of the Covid-19 Vaccines on Social Media. MedInfo 2021: 1056-1057 - [c13]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: 550-554 - [i5]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 abs/2103.09311 (2021) - [i4]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 abs/2105.04414 (2021) - [i3]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 abs/2106.11067 (2021) - [i2]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 abs/2108.13293 (2021) - 2020
- [c12]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: 22-26 - [c11]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: 448-452 - [i1]Nariman Ammar, Arash Shaban-Nejad:
Explainable Artificial Intelligence Recommendation System by Leveraging the Semantics of Adverse Childhood Experiences: Proof-of-Concept Prototype Development. CoRR abs/2011.08090 (2020)
2010 – 2019
- 2019
- [e1]Kaoutar El Maghraoui, Dalila Chiadmi, Laila Benhlima, Nariman Ammar:
Proceedings of the 6th Annual International Conference on Arab Women in Computing, ArabWIC 2019, Research Track, Rabat, Morocco, March 7-9, 2019. ACM 2019, ISBN 978-1-4503-6089-0 [contents] - 2017
- [c10]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: 330-337 - 2016
- [c9]Nariman Ammar, Zaki Malik, Abdelmounaam Rezgui, Elisa Bertino:
XACML policy evaluation with dynamic context handling. ICDE 2016: 1570-1571 - 2015
- [j1]Nariman Ammar, Zaki Malik, Elisa Bertino, Abdelmounaam Rezgui:
XACML Policy Evaluation with Dynamic Context Handling. IEEE Trans. Knowl. Data Eng. 27(9): 2575-2588 (2015) - [c8]Nariman Ammar, Zaki Malik, Brahim Medjahed, Mohammed Alodib:
K-Anonymity Based Approach for Privacy-Preserving Web Service Selection. ICWS 2015: 281-288 - 2014
- [c7]Khayyam Hashmi, Erfan Najmi, Nariman Ammar, Zaki Malik, Brahim Medjahed:
Sentiment Analysis for intelligent ratings management. AICCSA 2014: 389-396 - [c6]Nariman Ammar, Zaki Malik, Elisa Bertino, Abdelmounaam Rezgui:
Dynamic Privacy Policy Management in Services-Based Interactions. DEXA (2) 2014: 248-262 - [c5]Nariman Ammar, Zaki Malik, Abdelmounaam Rezgui, Mohammed Alodib:
MobiDyC: Private Mobile-based Health Data Sharing through Dynamic Context Handling. FNC/MobiSPC 2014: 426-433 - 2013
- [c4]Marwan Abi-Antoun, Radu Vanciu, Nariman Ammar:
Metrics to identify where object-oriented program comprehension benefits from the runtime structure. WETSoM 2013: 42-48 - 2012
- [c3]Marwan Abi-Antoun, Nariman Ammar, Zeyad Hailat:
Extraction of ownership object graphs from object-oriented code: an experience report. QoSA 2012: 133-142 - [c2]Nariman Ammar, Marwan Abi-Antoun:
Empirical Evaluation of Diagrams of the Run-time Structure for Coding Tasks. WCRE 2012: 367-376 - 2010
- [c1]Marwan Abi-Antoun, Nariman Ammar, Thomas D. LaToza:
Questions about object structure during coding activities. CHASE 2010: 64-71
Coauthor Index
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