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ORCIDFadi A. Thabtah
Fadi Abdeljaber Thabtah
Person information
- affiliation: Manukau Institute of Technology, Auckland, New Zealand
- affiliation: Nelson Marlborough Institute of Technology, Auckland, New Zealand
- affiliation: Canadian University of Dubai, E-Business Department, United Arab Emirates
- affiliation: Philadelphia University, Department of Management Information Systems, Jordan
- affiliation: University of Huddersfield, Department of Psychology, UK
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Books and Theses
- 2022
[b1]Fadi A. Thabtah:
A machine learning architecture to detect Alzheimer's disease progression based on the evaluation of cognitive and functional attributes of neuropsychological assessments. University of Huddersfield, UK, 2022
Journal Articles
- 2024
- [j55]Thomas Bailey, Fadi A. Thabtah, Marcus Wright, Duy Anh Tran:
FoodKnight: a mobile educational game and analyses for obesity awareness of children. Int. J. Medical Eng. Informatics 16(2): 139-149 (2024) - 2023
- [j54]Fadi A. Thabtah, Heba Mohammad, Yonggang Lu, Bo Zhang:
Neuropsychological features evaluation of data related to Alzheimer's disease progression using feature selection. Intell. Decis. Technol. 17(4): 1161-1178 (2023) - 2022
- [j53]Fadi A. Thabtah
, Robinson Spencer, Neda Abdelhamid, Firuz Kamalov, Carl Wentzel, Yongsheng Ye, Thanu Dayara:
Autism screening: an unsupervised machine learning approach. Health Inf. Sci. Syst. 10(1): 26 (2022) - [j52]Sapphira Chan, Fadi A. Thabtah, Hussein Abdel-jaber, Franco Guerrero:
Autism detection for toddlers from behavioural indicators using classification techniques. Intell. Decis. Technol. 16(3): 589-599 (2022) - [j51]Fadi A. Thabtah, Swan Ong, David Peebles:
Detection of dementia progression from functional activities data using machine learning techniques. Intell. Decis. Technol. 16(3): 615-630 (2022) - [j50]Fadi A. Thabtah, Arun J. Padmavathy, Thanh Trung Thai, Daymond Goulder-Horobin:
A self-management mobile application system for patients with mild cognitive impairment and mild dementia. Int. J. Wirel. Mob. Comput. 23(2): 114-122 (2022) - [j49]Said Baadel, Fadi A. Thabtah, Joan Lu, Saida Harguem:
OMCOKE: A Machine Learning Outlier-based Overlapping Clustering Technique for Multi-Label Data Analysi s. Informatica (Slovenia) 46(4) (2022) - [j48]Thanu Dayara, Fadi A. Thabtah, Hussein Abdel-jaber, Susan Zeidan:
Crime Analyses Using Data Analytics. Int. J. Data Warehous. Min. 18(1): 1-15 (2022) - 2021
- [j47]Said Baadel, Fadi A. Thabtah, Joan Lu:
Cybersecurity Awareness: A Critical Analysis of Education and Law Enforcement Methods. Informatica (Slovenia) 45(3) (2021) - 2020
- [j46]Seyed Reza Shahamiri, Fadi A. Thabtah:
Autism AI: a New Autism Screening System Based on Artificial Intelligence. Cogn. Comput. 12(4): 766-777 (2020) - [j45]Fadi A. Thabtah, David Peebles:
A new machine learning model based on induction of rules for autism detection. Health Informatics J. 26(1) (2020) - [j44]Fadi A. Thabtah, Robinson Spencer, Yongsheng Ye:
The correlation of everyday cognition test scores and the progression of Alzheimer's disease: a data analytics study. Health Inf. Sci. Syst. 8(1): 24 (2020) - [j43]Fadi A. Thabtah, Suhel Hammoud, Firuz Kamalov, Amanda H. Gonsalves:
Data imbalance in classification: Experimental evaluation. Inf. Sci. 513: 429-441 (2020) - [j42]Fadi A. Thabtah, Firuz Kamalov, Suhel Hammoud, Seyed Reza Shahamiri:
Least Loss: A simplified filter method for feature selection. Inf. Sci. 534: 1-15 (2020) - [j41]Fadi A. Thabtah, David Peebles, Jenny Retzler, Chanchala Hathurusingha:
Dementia medical screening using mobile applications: A systematic review with a new mapping model. J. Biomed. Informatics 111: 103573 (2020) - [j40]Fadi A. Thabtah:
Preface. J. Inf. Knowl. Manag. 19(1): 2002001:1-2002001:2 (2020) - [j39]Neda Abdelhamid, Arun J. Padmavathy, David Peebles, Fadi A. Thabtah, Daymond Goulder-Horobin:
Data Imbalance in Autism Pre-Diagnosis Classification Systems: An Experimental Study. J. Inf. Knowl. Manag. 19(1): 2040014:1-2040014:16 (2020) - [j38]Fadi A. Thabtah, Arun J. Padmavathy, Andrew Pritchard:
Chess Results Analysis Using Elo Measure with Machine Learning. J. Inf. Knowl. Manag. 19(2): 2050006:1-2050006:15 (2020) - [j37]Fadi A. Thabtah, Ella T. Mampusti, David Peebles, Raymund Herradura, Jithin Varghese:
A Mobile-Based Screening System for Data Analyses of Early Dementia Traits Detection. J. Medical Syst. 44(1): 24 (2020) - [j36]Seyed Reza Shahamiri, Fadi A. Thabtah:
An investigation towards speaker identification using a single-sound-frame. Multim. Tools Appl. 79(41-42): 31265-31281 (2020) - 2019
- [j35]Fadi A. Thabtah:
An accessible and efficient autism screening method for behavioural data and predictive analyses. Health Informatics J. 25(4) (2019) - [j34]Fadi A. Thabtah, Neda Abdelhamid, David Peebles:
A machine learning autism classification based on logistic regression analysis. Health Inf. Sci. Syst. 7(1): 12 (2019) - [j33]Fadi A. Thabtah:
Preface to the Special Issue on Data Analytics. J. Inf. Knowl. Manag. 18(1): 1902001:1-1902001:2 (2019) - [j32]Paul Town, Fadi A. Thabtah:
Data Analytics Tools: A User Perspective. J. Inf. Knowl. Manag. 18(1): 1950002:1-1950002:16 (2019) - 2018
- [j31]Rabah AlShboul, Fadi A. Thabtah, Neda Abdelhamid, Mofleh Al-Diabat:
A visualization cybersecurity method based on features' dissimilarity. Comput. Secur. 77: 289-303 (2018) - [j30]Issa Qabajeh, Fadi A. Thabtah, Francisco Chiclana:
A recent review of conventional vs. automated cybersecurity anti-phishing techniques. Comput. Sci. Rev. 29: 44-55 (2018) - [j29]Fadi A. Thabtah, Firuz Kamalov, Khairan Rajab:
A new computational intelligence approach to detect autistic features for autism screening. Int. J. Medical Informatics 117: 112-124 (2018) - 2017
- [j28]Fadi A. Thabtah, Firuz Kamalov:
Phishing Detection: A Case Analysis on Classifiers with Rules Using Machine Learning. J. Inf. Knowl. Manag. 16(4): 1750034:1-1750034:16 (2017) - 2016
- [j27]Fadi A. Thabtah, Issa Qabajeh, Francisco Chiclana:
Constrained dynamic rule induction learning. Expert Syst. Appl. 63: 74-85 (2016) - [j26]Fadi A. Thabtah, Neda Abdelhamid:
Deriving Correlated Sets of Website Features for Phishing Detection: A Computational Intelligence Approach. J. Inf. Knowl. Manag. 15(4): 1650042:1-1650042:17 (2016) - 2015
- [j25]Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey:
Tutorial and critical analysis of phishing websites methods. Comput. Sci. Rev. 17: 1-24 (2015) - [j24]Hussein Abdel-jaber, Fadi A. Thabtah, Mike E. Woodward:
Modeling discrete-time analytical models based on random early detection: Exponential and linear. Int. J. Model. Simul. Sci. Comput. 6(3): 1550028:1-1550028:22 (2015) - [j23]Fadi A. Thabtah, Suhel Hammoud, Hussein Abdel-jaber:
Parallel Associative Classification Data Mining Frameworks Based MapReduce. Parallel Process. Lett. 25(2): 1550002:1-1550002:39 (2015) - 2014
- [j22]Neda Abdelhamid, Aladdin Ayesh, Fadi A. Thabtah:
Phishing detection based Associative Classification data mining. Expert Syst. Appl. 41(13): 5948-5959 (2014) - [j21]Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey:
Intelligent rule-based phishing websites classification. IET Inf. Secur. 8(3): 153-160 (2014) - [j20]Neda Abdelhamid, Fadi A. Thabtah:
Associative Classification Approaches: Review and Comparison. J. Inf. Knowl. Manag. 13(3) (2014) - [j19]Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey:
Predicting phishing websites based on self-structuring neural network. Neural Comput. Appl. 25(2): 443-458 (2014) - 2013
- [j18]Fadi A. Thabtah, Suhel Hammoud:
Mr-arm: a Map-Reduce Association Rule Mining Framework. Parallel Process. Lett. 23(3) (2013) - 2012
- [j17]Mofleh Al-Diabat, Hussein Abdel-jaber, Fadi A. Thabtah, Osman Abou-Rabia, Mahmoud Kishta:
Analytical Models based discrete-Time Queueing for the Congested Network. Int. J. Model. Simul. Sci. Comput. 3(1): 1150004 (2012) - [j16]Fadi A. Thabtah, Omar Gharaibeh, Rashid Al-Zubaidy:
Arabic Text Mining Using Rule Based Classification. J. Inf. Knowl. Manag. 11(1) (2012) - [j15]Neda Abdelhamid, Aladdin Ayesh, Fadi A. Thabtah, Samad Ahmadi, Wael Hadi:
MAC: A Multiclass Associative Classification Algorithm. J. Inf. Knowl. Manag. 11(2) (2012) - 2011
- [j14]Hussein Al-Bahadili, Jafar Ababneh, Fadi A. Thabtah:
Analytical modeling of a multi-queue nodes network router. Int. J. Autom. Comput. 8(4): 459-464 (2011) - [j13]Fadi A. Thabtah, Wael Hadi, Neda Abdelhamid, Ayman Issa:
Prediction Phase in Associative Classification Mining. Int. J. Softw. Eng. Knowl. Eng. 21(6): 855-876 (2011) - 2010
- [j12]Maher Ragheb Aburrous, M. Alamgir Hossain, Keshav P. Dahal, Fadi A. Thabtah:
Experimental Case Studies for Investigating E-Banking Phishing Techniques and Attack Strategies. Cogn. Comput. 2(3): 242-253 (2010) - [j11]Maher Ragheb Aburrous, M. Alamgir Hossain, Keshav P. Dahal, Fadi A. Thabtah:
Intelligent phishing detection system for e-banking using fuzzy data mining. Expert Syst. Appl. 37(12): 7913-7921 (2010) - [j10]Fadi A. Thabtah, Qazafi Mahmood, Lee McCluskey, Hussein Abdel-jaber:
A New Classification Based on Association Algorithm. J. Inf. Knowl. Manag. 9(1): 55-64 (2010) - 2008
- [j9]Fadi A. Thabtah, Peter I. Cowling:
Mining the data from a hyperheuristic approach using associative classification. Expert Syst. Appl. 34(2): 1093-1101 (2008) - [j8]Hussein Abdel-jaber, Michael E. Woodward, Fadi A. Thabtah, Amer Abu-Ali:
Performance evaluation for DRED discrete-time queueing network analytical model. J. Netw. Comput. Appl. 31(4): 750-770 (2008) - 2007
- [j7]Fadi A. Thabtah, Peter I. Cowling:
A greedy classification algorithm based on association rule. Appl. Soft Comput. 7(3): 1102-1111 (2007) - [j6]Fadi A. Thabtah:
A review of associative classification mining. Knowl. Eng. Rev. 22(1): 37-65 (2007) - 2006
- [j5]Fadi A. Thabtah, Peter I. Cowling, Suhel Hammoud:
Improving rule sorting, predictive accuracy and training time in associative classification. Expert Syst. Appl. 31(2): 414-426 (2006) - [j4]Fadi A. Thabtah:
Pruning Techniques in Associative Classification: Survey and Comparison. J. Digit. Inf. Manag. 4(3): 197-202 (2006) - [j3]Fadi A. Thabtah:
Rule Preference Effect in Associative Classification Mining. J. Inf. Knowl. Manag. 5(1): 13-20 (2006) - [j2]Fadi Abdeljaber Thabtah, Peter I. Cowling, Yonghong Peng:
Multiple labels associative classification. Knowl. Inf. Syst. 9(1): 109-129 (2006) - 2005
- [j1]Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng:
A Study of Predictive Accuracy for Four Associative Classifiers. J. Digit. Inf. Manag. 3(3): 205-208 (2005)
Conference and Workshop Papers
- 2019
- [c27]Amanda H. Gonsalves, Fadi A. Thabtah, Rami Mustafa A. Mohammad, Gurpreet Singh:
Prediction of Coronary Heart Disease using Machine Learning: An Experimental Analysis. ICDLT 2019: 51-56 - [c26]Raymund Herradura, Fadi A. Thabtah, M. Andrews:
Trend Analyses for Blockchain Technology Innovations Using Data Analytics. ISCSIC 2019: 48:1-48:6 - [c25]Marianne Cherrington, Joan Lu, David Airehrour, Fadi A. Thabtah, Qiang Xu, Samaneh Madanian:
Feature Selection: Multi-source and Multi-view Data Limitations, Capabilities and Potentials. ITNAC 2019: 1-6 - 2018
- [c24]Mohamed Salem Almnnaee, Fadi A. Thabtah, Joan Lu:
An Improved Associative Classification Algorithm based on Incremental Rules. ISD 2018 - 2017
- [c23]Fadi A. Thabtah:
Autism Spectrum Disorder Screening: Machine Learning Adaptation and DSM-5 Fulfillment. ICMHI 2017: 1-6 - [c22]Neda Abdelhamid, Fadi A. Thabtah, Hussein Abdel-jaber:
Phishing detection: A recent intelligent machine learning comparison based on models content and features. ISI 2017: 72-77 - 2016
- [c21]Neda Abdelhamid, Ahmad Abdul Jabbar, Fadi A. Thabtah:
Associative Classification Common Research Challenges. ICPP Workshops 2016: 432-437 - [c20]Fadi A. Thabtah, Rami Mustafa A. Mohammad, Lee McCluskey:
A dynamic self-structuring neural network model to combat phishing. IJCNN 2016: 4221-4226 - [c19]Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey:
An Improved Self-Structuring Neural Network. PAKDD Workshops 2016: 35-47 - 2015
- [c18]Issa Qabajeh, Francisco Chiclana, Fadi A. Thabtah:
A classification rules mining method based on dynamic rules' frequency. AICCSA 2015: 1-7 - 2012
- [c17]Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey:
An assessment of features related to phishing websites using an automated technique. ICITST 2012: 492-497 - [c16]Neda Abdelhamid, Aladdin Ayesh, Fadi A. Thabtah:
An experimental study of three different rule ranking formulas in associative classification. ICITST 2012: 795-800 - 2011
- [c15]Hussein Abdel-jaber, Jafar Ababneh, Fadi A. Thabtah, Amjad M. Daoud, Mahmoud Baklizi:
Performance Analysis of the Proposed Adaptive Gentle Random Early Detection Method under NonCongestion and Congestion Situations. DEIS 2011: 592-603 - 2010
- [c14]Maher Ragheb Aburrous, M. Alamgir Hossain, Keshav P. Dahal, Fadi A. Thabtah:
Predicting Phishing Websites Using Classification Mining Techniques with Experimental Case Studies. ITNG 2010: 176-181 - [c13]Jafar Ababneh, Hussein Abdel-jaber, Fadi A. Thabtah, Wael Hadi, Emran Badarneh:
Derivation of Three Queue Nodes Discrete-Time Analytical Model Based on DRED Algorithm. ITNG 2010: 885-890 - 2009
- [c12]Mohammed Mahafzah, Ahmmad Sharieah, Fadi A. Thabtah:
Hamming Code for Compressing Audio Files. PDPTA 2009: 350-356 - [c11]Maher Ragheb Aburrous, M. Alamgir Hossain, Keshav P. Dahal, Fadi A. Thabtah:
Modelling Intelligent Phishing Detection System for E-banking Using Fuzzy Data Mining. CW 2009: 265-272 - 2008
- [c10]Maher Ragheb Aburrous, M. Alamgir Hossain, Fadi A. Thabtah, Keshav P. Dahal:
Intelligent Quality Performance Assessment for E-Banking Security using Fuzzy Logic. ITNG 2008: 420-425 - [c9]Fadi A. Thabtah, Qazafi Mahmood, Lee McCluskey:
Looking at the Class Associative Classification Training Algorithm. ITNG 2008: 426-431 - 2007
- [c8]Hussein Abdel-jaber, Michael E. Woodward, Fadi A. Thabtah, Mahmud Etbega:
A Discrete-time Queue Analytical Model based on Dynamic Random Early Drop. ITNG 2007: 71-76 - [c7]Wa'el Musa Hadi, Fadi A. Thabtah, Hussein Abdel-jaber:
A Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data. World Congress on Engineering 2007: 296-300 - [c6]Hussein Abdel-jaber, Michael E. Woodward, Fadi A. Thabtah, Mofleh Al-Diabat:
Modelling BLUE Active Queue Management using Discrete-time Queue. World Congress on Engineering 2007: 568-573 - 2006
- [c5]Fadi A. Thabtah:
Challenges and Interesting Research Directions in Associative Classification. ICDM Workshops 2006: 785-792 - [c4]Fadi A. Thabtah:
Ranked Multi-Label Rules Associative Classifier. SGAI Conf. 2006: 87-100 - 2005
- [c3]Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng:
MCAR: multi-class classification based on association rule. AICCSA 2005: 33 - [c2]Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng:
The Impact of Rule Ranking on the Quality of Associative Classifiers. SGAI Conf. 2005: 277-287 - 2004
- [c1]Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng:
MMAC: A New Multi-Class, Multi-Label Associative Classification Approach. ICDM 2004: 217-224
Data and Artifacts
- 2017
- [d2]Fadi A. Thabtah:
Autism Screening Adult. UCI Machine Learning Repository, 2017
- [d1]Fadi A. Thabtah:
Autistic Spectrum Disorder Screening Data for Children. UCI Machine Learning Repository, 2017
Informal and Other Publications
- 2021
- [i1]Firuz Kamalov, Aswani Kumar Cherukuri, Hana Sulieman, Fadi A. Thabtah, Akbar Hossain:
Machine learning applications for COVID-19: A state-of-the-art review. CoRR abs/2101.07824 (2021)
Coauthor Index
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last updated on 2024-04-25 02:08 CEST by the dblp team
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