Fadi A. Thabtah
Orcid: 0000-0002-2664-4694Affiliations:
- Manukau Institute of Technology, Auckland, New Zealand
- Nelson Marlborough Institute of Technology, Auckland, New Zealand
- Canadian University of Dubai, E-Business Department, United Arab Emirates
- Philadelphia University, Department of Management Information Systems, Jordan
- University of Huddersfield, Department of Psychology, UK
According to our database1,
Fadi A. Thabtah
authored at least 86 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
FoodKnight: a mobile educational game and analyses for obesity awareness of children.
Int. J. Medical Eng. Informatics, 2024
2023
Neuropsychological features evaluation of data related to Alzheimer's disease progression using feature selection.
Intell. Decis. Technol., 2023
2022
A machine learning architecture to detect Alzheimer's disease progression based on the evaluation of cognitive and functional attributes of neuropsychological assessments.
PhD thesis, 2022
OMCOKE: A Machine Learning Outlier-based Overlapping Clustering Technique for Multi-Label Data Analysi s.
Informatica (Slovenia), 2022
A self-management mobile application system for patients with mild cognitive impairment and mild dementia.
Int. J. Wirel. Mob. Comput., 2022
Detection of dementia progression from functional activities data using machine learning techniques.
Intell. Decis. Technol., 2022
Autism detection for toddlers from behavioural indicators using classification techniques.
Intell. Decis. Technol., 2022
Health Inf. Sci. Syst., 2022
2021
Cybersecurity Awareness: A Critical Analysis of Education and Law Enforcement Methods.
Informatica (Slovenia), 2021
2020
Multim. Tools Appl., 2020
A Mobile-Based Screening System for Data Analyses of Early Dementia Traits Detection.
J. Medical Syst., 2020
J. Inf. Knowl. Manag., 2020
Data Imbalance in Autism Pre-Diagnosis Classification Systems: An Experimental Study.
J. Inf. Knowl. Manag., 2020
Dementia medical screening using mobile applications: A systematic review with a new mapping model.
J. Biomed. Informatics, 2020
The correlation of everyday cognition test scores and the progression of Alzheimer's disease: a data analytics study.
Health Inf. Sci. Syst., 2020
Health Informatics J., 2020
Cogn. Comput., 2020
2019
Health Inf. Sci. Syst., 2019
An accessible and efficient autism screening method for behavioural data and predictive analyses.
Health Informatics J., 2019
Feature Selection: Multi-source and Multi-view Data Limitations, Capabilities and Potentials.
Proceedings of the 29th International Telecommunication Networks and Applications Conference, 2019
Proceedings of the ISCSIC 2019: 3rd International Symposium on Computer Science and Intelligent Control, 2019
Prediction of Coronary Heart Disease using Machine Learning: An Experimental Analysis.
Proceedings of the 2019 3rd International Conference on Deep Learning Technologies, 2019
2018
A new computational intelligence approach to detect autistic features for autism screening.
Int. J. Medical Informatics, 2018
A recent review of conventional vs. automated cybersecurity anti-phishing techniques.
Comput. Sci. Rev., 2018
Comput. Secur., 2018
Proceedings of the Information Systems Development: Designing Digitalization, 2018
2017
Phishing Detection: A Case Analysis on Classifiers with Rules Using Machine Learning.
J. Inf. Knowl. Manag., 2017
Phishing detection: A recent intelligent machine learning comparison based on models content and features.
Proceedings of the 2017 IEEE International Conference on Intelligence and Security Informatics, 2017
Autism Spectrum Disorder Screening: Machine Learning Adaptation and DSM-5 Fulfillment.
Proceedings of the 1st International Conference on Medical and Health Informatics, 2017
2016
Deriving Correlated Sets of Website Features for Phishing Detection: A Computational Intelligence Approach.
J. Inf. Knowl. Manag., 2016
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016
2015
Parallel Process. Lett., 2015
Modeling discrete-time analytical models based on random early detection: Exponential and linear.
Int. J. Model. Simul. Sci. Comput., 2015
Proceedings of the 12th IEEE/ACS International Conference of Computer Systems and Applications, 2015
2014
Neural Comput. Appl., 2014
J. Inf. Knowl. Manag., 2014
Expert Syst. Appl., 2014
2013
Parallel Process. Lett., 2013
2012
Int. J. Model. Simul. Sci. Comput., 2012
Proceedings of the 7th International Conference for Internet Technology and Secured Transactions, 2012
An experimental study of three different rule ranking formulas in associative classification.
Proceedings of the 7th International Conference for Internet Technology and Secured Transactions, 2012
2011
Int. J. Softw. Eng. Knowl. Eng., 2011
Int. J. Autom. Comput., 2011
Performance Analysis of the Proposed Adaptive Gentle Random Early Detection Method under NonCongestion and Congestion Situations.
Proceedings of the Digital Enterprise and Information Systems - International Conference, 2011
2010
Expert Syst. Appl., 2010
Experimental Case Studies for Investigating E-Banking Phishing Techniques and Attack Strategies.
Cogn. Comput., 2010
Predicting Phishing Websites Using Classification Mining Techniques with Experimental Case Studies.
Proceedings of the Seventh International Conference on Information Technology: New Generations, 2010
Derivation of Three Queue Nodes Discrete-Time Analytical Model Based on DRED Algorithm.
Proceedings of the Seventh International Conference on Information Technology: New Generations, 2010
2009
Modelling Intelligent Phishing Detection System for E-banking Using Fuzzy Data Mining.
Proceedings of the 2009 International Conference on CyberWorlds, 2009
Hamming Code for Compressing Audio Files.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2009
2008
J. Netw. Comput. Appl., 2008
Expert Syst. Appl., 2008
Proceedings of the Fifth International Conference on Information Technology: New Generations (ITNG 2008), 2008
Proceedings of the Fifth International Conference on Information Technology: New Generations (ITNG 2008), 2008
2007
Appl. Soft Comput., 2007
A Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data.
Proceedings of the World Congress on Engineering, 2007
Modelling BLUE Active Queue Management using Discrete-time Queue.
Proceedings of the World Congress on Engineering, 2007
Proceedings of the Fourth International Conference on Information Technology: New Generations (ITNG 2007), 2007
2006
J. Inf. Knowl. Manag., 2006
J. Digit. Inf. Manag., 2006
Improving rule sorting, predictive accuracy and training time in associative classification.
Expert Syst. Appl., 2006
Proceedings of the Research and Development in Intelligent Systems XXIII, 2006
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
2005
J. Digit. Inf. Manag., 2005
Proceedings of the Research and Development in Intelligent Systems XXII, 2005
Proceedings of the 2005 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2005), 2005
2004
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004