Yoosef Abushark
Title
Cited by
Cited by
Year
Behavdt: a behavioral decision tree learning to build user-centric context-aware predictive model
IH Sarker, A Colman, J Han, AI Khan, YB Abushark, K Salah
Mobile Networks and Applications 25 (3), 1151-1161, 2020
212020
IntruDTree: A Machine Learning Based Cyber Security Intrusion Detection Model
IH Sarker, YB Abushark, F Alsolami, AI Khan
Symmetry 12 (5), 754, 2020
162020
An Integrated Approach of Fuzzy Logic, AHP and TOPSIS for Estimating Usable-Security of Web Applications
R Kumar, AI Khan, YB Abushark, MM Alam, A Agrawal, RA Khan
IEEE Access 8, 50944-50957, 2020
142020
Checking consistency of agent designs against interaction protocols for early-phase defect location
Y Abushark, J Thangarajah, T Miller, J Harland
13th International Joint Conference on Autonomous Agents and Multiagent …, 2014
142014
A Knowledge-Based Integrated System of Hesitant Fuzzy Set, AHP and TOPSIS for Evaluating Security-Durability of Web Applications
R Kumar, AI Khan, YB Abushark, MM Alam, A Agrawal, RA Khan
IEEE Access 8, 48870-48885, 2020
132020
Early detection of design faults relative to requirement specifications in agent-based models
Y Abushark, J Thangarajah, T Miller, J Harland, M Winikoff
AAMAS 2015, 1073-1079, 2015
122015
ContextPCA: Predicting Context-Aware Smartphone Apps Usage Based On Machine Learning Techniques
IH Sarker, YB Abushark, AI Khan
Symmetry 12 (4), 499, 2020
92020
Key Issues in Healthcare Data Integrity: Analysis and Recommendations
AK Pandey, AI Khan, YB Abushark, MM Alam, A Agrawal, R Kumar, ...
IEEE Access 8, 40612-40628, 2020
92020
Requirements specification via activity diagrams for agent-based systems
Y Abushark, T Miller, J Thangarajah, M Winikoff, J Harland
Autonomous Agents and Multi-Agent Systems 31 (3), 423-468, 2017
82017
Context pre-modeling: an empirical analysis for classification based user-centric context-aware predictive modeling
IH Sarker, H Alqahtani, F Alsolami, AI Khan, YB Abushark, MK Siddiqui
Journal of Big Data 7 (1), 1-23, 2020
42020
Security Risk Assessment of Healthcare Web Application Through Adaptive Neuro-Fuzzy Inference System: A Design Perspective
J Kaur, AI Khan, YB Abushark, MM Alam, SA Khan, A Agrawal, R Kumar, ...
Risk Management and Healthcare Policy 13, 355, 2020
32020
A framework for automatically ensuring the conformance of agent designs
Y Abushark, J Thangarajah, J Harland, T Miller
Journal of Systems and Software 131, 266-310, 2017
22017
Checking the correctness of agent designs against model-based requirements
Y Abushark, M Winikoff, T Miller, J Harland, J Thangarajah
Proceedings of the Twenty-first European Conference on Artificial …, 2014
22014
AUML protocols: from specification to detailed design
Y Abushark, J Thangarajah
AAMAS 2013, 1173-1174, 2013
22013
Propagating AUML protocols to detailed design
Y Abushark, J Thangarajah
International Workshop on Engineering Multi-Agent Systems, 19-37, 2013
12013
A systematic approach for detecting faults in agent designs
Y Abushark
2017
A Systematic Approach for Detecting Defects in Agent Designs: (Doctoral Consortium)
Y Abushark
Proceedings of the 2016 International Conference on Autonomous Agents …, 2016
2016
Requirements specification in the Prometheus methodology via activity diagrams
Y Abushark, J Thangarajah, T Miller, M Winikoff, J Harland
AAMAS 2016, 1247-1248, 2016
2016
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Articles 1–18