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Yoosef B. Abushark
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2020 – today
- 2024
- [j15]Khloud A. Alshaikh
, Omaima Almatrafi
BERT-Based Model for Aspect-Based Sentiment Analysis for Analyzing Arabic Open-Ended Survey Responses: A Case Study. IEEE Access 12: 2288-2302 (2024) - 2023
- [j14]Iqbal H. Sarker
Internet of Things (IoT) Security Intelligence: A Comprehensive Overview, Machine Learning Solutions and Research Directions. Mob. Networks Appl. 28(1): 296-312 (2023) - [j13]Abdulmohsen Almalawi
Managing Security of Healthcare Data for a Modern Healthcare System. Sensors 23(7): 3612 (2023) - 2022
- [j12]Yoosef B. Abushark:
An intelligent feature selection approach with systolic tree structures for efficient association rules in big data environment. Comput. Electr. Eng. 101: 108080 (2022) - 2021
- [j11]Iqbal H. Sarker
Mobile Deep Learning: Exploring Deep Neural Network for Predicting Context-Aware Smartphone Usage. SN Comput. Sci. 2(3): 146 (2021) - [j10]Iqbal H. Sarker
Mobile Expert System: Exploring Context-Aware Machine Learning Rules for Personalized Decision-Making in Mobile Applications. Symmetry 13(10): 1975 (2021) - 2020
- [j9]Abhishek Kumar Pandey
Key Issues in Healthcare Data Integrity: Analysis and Recommendations. IEEE Access 8: 40612-40628 (2020) - [j8]Rajeev Kumar
A Knowledge-Based Integrated System of Hesitant Fuzzy Set, AHP and TOPSIS for Evaluating Security-Durability of Web Applications. IEEE Access 8: 48870-48885 (2020) - [j7]Rajeev Kumar
An Integrated Approach of Fuzzy Logic, AHP and TOPSIS for Estimating Usable-Security of Web Applications. IEEE Access 8: 50944-50957 (2020) - [j6]Iqbal H. Sarker
Context pre-modeling: an empirical analysis for classification based user-centric context-aware predictive modeling. J. Big Data 7(1): 51 (2020) - [j5]Iqbal H. Sarker
BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model. Mob. Networks Appl. 25(3): 1151-1161 (2020) - [j4]Iqbal H. Sarker, Yoosef B. Abushark, Asif Irshad Khan
ContextPCA: Predicting Context-Aware Smartphone Apps Usage Based On Machine Learning Techniques. Symmetry 12(4): 499 (2020) - [j3]Iqbal H. Sarker
IntruDTree: A Machine Learning Based Cyber Security Intrusion Detection Model. Symmetry 12(5): 754 (2020) - [i1]Iqbal H. Sarker, Alan Colman, Jun Han, Asif Irshad Khan, Yoosef B. Abushark, Khaled Salah:
BehavDT: A Behavioral Decision Tree Learning to Build User-Centric Context-Aware Predictive Model. CoRR abs/2001.00621 (2020)
2010 – 2019
- 2017
- [j2]Yoosef B. Abushark
Requirements specification via activity diagrams for agent-based systems. Auton. Agents Multi Agent Syst. 31(3): 423-468 (2017) - [j1]Yoosef B. Abushark, John Thangarajah
A framework for automatically ensuring the conformance of agent designs. J. Syst. Softw. 131: 266-310 (2017) - 2016
- [c7]Yoosef B. Abushark, John Thangarajah, Tim Miller, Michael Winikoff, James Harland:
Requirements Specification in The Prometheus Methodology via Activity Diagrams. AAMAS 2016: 1247-1248 - [c6]Yoosef B. Abushark:
A Systematic Approach for Detecting Defects in Agent Designs: (Doctoral Consortium). AAMAS 2016: 1520-1521 - 2015
- [c5]Yoosef B. Abushark, John Thangarajah, Tim Miller, James Harland, Michael Winikoff:
Early Detection of Design Faults Relative to Requirement Specifications in Agent-Based Models. AAMAS 2015: 1071-1079 - 2014
- [c4]Yoosef B. Abushark, John Thangarajah, Tim Miller, James Harland:
Checking consistency of agent designs against interaction protocols for early-phase defect location. AAMAS 2014: 933-940 - [c3]Yoosef B. Abushark, Michael Winikoff, Tim Miller, James Harland
Checking The Correctness of Agent Designs Against Model-Based Requirements. ECAI 2014: 953-954 - 2013
- [c2]Yoosef B. Abushark, John Thangarajah
Propagating AUML Protocols to Detailed Design. EMAS@AAMAS 2013: 19-37 - [c1]Yoosef B. Abushark, John Thangarajah:
AUML protocols: from specification to detailed design. AAMAS 2013: 1173-1174
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