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Explainable and secure artificial intelligence: taxonomy, cases of study, learned lessons, challenges and future directions
Faculty
Computer Science
Year:
2022
Type of Publication:
ZU Hosted
Pages:
Authors:
Nabil Moustafa AbdelAziz
Staff Zu Site
Abstract In Staff Site
Journal:
Enterprise Information Systems Taylor & Francis
Volume:
Keywords :
Explainable , secure artificial intelligence: taxonomy, cases
Abstract:
Explainable artificial intelligence (XAI) is an evolving discipline that mainly emphasises unboxing in these Black-Boxes. This study provides in-depth review of XAI literature together with a new taxonomy of categorising XAI methods.
Author Related Publications
Nabil Moustafa AbdelAziz, "A Modified Artificial Bee Colony Algorithm for Solving Least-Cost Path Problem in Raster GIS", Natural Sciences Publishing Corporation., 2015
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Nabil Moustafa AbdelAziz, "Enhancing ArcGIS Decision Making Capabilities Using an Intelligent Multicriteria Decision Analysis Toolbox", International Society for Environmental Information Sciences., 2012
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Nabil Moustafa AbdelAziz, "An Expert System for Choosing the Suitable MCDM Method for solving A Spatial Decision Problem", Alex, Egypt, 2009
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Nabil Moustafa AbdelAziz, "Efficient MCDM Model for Evaluating the Performance of Commercial Banks: A Case Study", Tech Science Press, 2021
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Nabil Moustafa AbdelAziz, "Green Communication for Sixth-Generation Intent-Based Networks: An Architecture Based on Hybrid Computational Intelligence Algorithm", Hindawi, 2021
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Department Related Publications
Noha Mohamed Ibrahiem Mohamed Hamza, "A constraint consensus memetic algorithm for solving constrained optimization problems", Taylor & Francis, 2014
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Saber Mohamed, "A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problems", IEEE, 2014
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Saber Mohamed, "Differential Evolution Combined with Constraint Consensus for Constrained Optimization", IEEE, 2011
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Mohammed Abdel Basset Metwally Attia, "An approach of TOPSIS technique for developing supplier selection with group decision making under type-2 neutrosophic number", Elsevier B.V., 2019
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Mohammed Abdel Basset Metwally Attia, "Krill herd algorithm based on cuckoo search for solving engineering optimization problems", Springer, 2019
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