Fadi A. Thabtah

84 papers A* 1B 1C 4Misc 2Journal 56Unranked 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
Path-Weighted Integrated Gradients for Interpretable Dementia Classification.
CoRR
Firuz Kamalov, Mohmad Al Falasi, Fadi A. Thabtah
2024 J jnl
FoodKnight: a mobile educational game and analyses for obesity awareness of children.
Int. J. Medical Eng. Informatics
Thomas Bailey, Fadi A. Thabtah, Marcus Wright, Duy Anh Tran
2023 J jnl
Neuropsychological features evaluation of data related to Alzheimer's disease progression using feature selection.
Intell. Decis. Technol.
Fadi A. Thabtah, Heba Mohammad, Yonggang Lu, Bo Zhang
2022 — —
A machine learning architecture to detect Alzheimer's disease progression based on the evaluation of cognitive and functional attributes of neuropsychological assessments.
Fadi A. Thabtah
2022 J jnl
A self-management mobile application system for patients with mild cognitive impairment and mild dementia.
Int. J. Wirel. Mob. Comput.
Fadi A. Thabtah, Arun J. Padmavathy, Thanh Trung Thai, Daymond Goulder-Horobin
2022 J jnl
Autism detection for toddlers from behavioural indicators using classification techniques.
Intell. Decis. Technol.
Sapphira Chan, Fadi A. Thabtah, Hussein Abdel-jaber, Franco Guerrero
2022 J jnl
Autism screening: an unsupervised machine learning approach.
Health Inf. Sci. Syst.
Fadi A. Thabtah, Robinson Spencer, Neda Abdelhamid, Firuz Kamalov, Carl Wentzel, Yongsheng Ye, Thanu Dayara
2022 J jnl
Crime Analyses Using Data Analytics.
Int. J. Data Warehous. Min.
Thanu Dayara, Fadi A. Thabtah, Hussein Abdel-jaber, Susan Zeidan
2022 J jnl
Detection of dementia progression from functional activities data using machine learning techniques.
Intell. Decis. Technol.
Fadi A. Thabtah, Swan Ong, David Peebles
2022 J jnl
OMCOKE: A Machine Learning Outlier-based Overlapping Clustering Technique for Multi-Label Data Analysi s.
Informatica (Slovenia)
Said Baadel, Fadi A. Thabtah, Joan Lu, Saida Harguem
2021 J jnl
Cybersecurity Awareness: A Critical Analysis of Education and Law Enforcement Methods.
Informatica (Slovenia)
Said Baadel, Fadi A. Thabtah, Joan Lu
2021 J jnl
Machine learning applications for COVID-19: A state-of-the-art review.
CoRR
Firuz Kamalov, Aswani Kumar Cherukuri, Hana Sulieman, Fadi A. Thabtah, Akbar Hossain
2020 J jnl
A Mobile-Based Screening System for Data Analyses of Early Dementia Traits Detection.
J. Medical Syst.
Fadi A. Thabtah, Ella T. Mampusti, David Peebles, Raymund Herradura, Jithin Varghese
2020 J jnl
A new machine learning model based on induction of rules for autism detection.
Health Informatics J.
Fadi A. Thabtah, David Peebles
2020 J jnl
An investigation towards speaker identification using a single-sound-frame.
Multim. Tools Appl.
Seyed Reza Shahamiri, Fadi A. Thabtah
2020 J jnl
Autism AI: a New Autism Screening System Based on Artificial Intelligence.
Cogn. Comput.
Seyed Reza Shahamiri, Fadi A. Thabtah
2020 J jnl
Chess Results Analysis Using Elo Measure with Machine Learning.
J. Inf. Knowl. Manag.
Fadi A. Thabtah, Arun J. Padmavathy, Andrew Pritchard
2020 J jnl
Data Imbalance in Autism Pre-Diagnosis Classification Systems: An Experimental Study.
J. Inf. Knowl. Manag.
Neda Abdelhamid, Arun J. Padmavathy, David Peebles, Fadi A. Thabtah, Daymond Goulder-Horobin
2020 J jnl
Data imbalance in classification: Experimental evaluation.
Inf. Sci.
Fadi A. Thabtah, Suhel Hammoud, Firuz Kamalov, Amanda H. Gonsalves
2020 J jnl
Dementia medical screening using mobile applications: A systematic review with a new mapping model.
J. Biomed. Informatics
Fadi A. Thabtah, David Peebles, Jenny Retzler, Chanchala Hathurusingha
2020 J jnl
Least Loss: A simplified filter method for feature selection.
Inf. Sci.
Fadi A. Thabtah, Firuz Kamalov, Suhel Hammoud, Seyed Reza Shahamiri
2020 J jnl
Preface.
J. Inf. Knowl. Manag.
Fadi A. Thabtah
2020 J jnl
The correlation of everyday cognition test scores and the progression of Alzheimer's disease: a data analytics study.
Health Inf. Sci. Syst.
Fadi A. Thabtah, Robinson Spencer, Yongsheng Ye
2019 J jnl
A machine learning autism classification based on logistic regression analysis.
Health Inf. Sci. Syst.
Fadi A. Thabtah, Neda Abdelhamid, David Peebles
2019 J jnl
An accessible and efficient autism screening method for behavioural data and predictive analyses.
Health Informatics J.
Fadi A. Thabtah
2019 J jnl
Data Analytics Tools: A User Perspective.
J. Inf. Knowl. Manag.
Paul Town, Fadi A. Thabtah
2019 Misc conf
Feature Selection: Multi-source and Multi-view Data Limitations, Capabilities and Potentials.
ITNAC
Marianne Cherrington, Joan Lu, David Airehrour, Fadi A. Thabtah, Qiang Xu, Samaneh Madanian
2019 — conf
Prediction of Coronary Heart Disease using Machine Learning: An Experimental Analysis.
ICDLT
Amanda H. Gonsalves, Fadi A. Thabtah, Rami Mustafa A. Mohammad, Gurpreet Singh
2019 J jnl
Preface to the Special Issue on Data Analytics.
J. Inf. Knowl. Manag.
Fadi A. Thabtah
2019 — conf
Trend Analyses for Blockchain Technology Innovations Using Data Analytics.
ISCSIC
Raymund Herradura, Fadi A. Thabtah, M. Andrews
2018 J jnl
A new computational intelligence approach to detect autistic features for autism screening.
Int. J. Medical Informatics
Fadi A. Thabtah, Firuz Kamalov, Khairan Rajab
2018 J jnl
A recent review of conventional vs. automated cybersecurity anti-phishing techniques.
Comput. Sci. Rev.
Issa Qabajeh, Fadi A. Thabtah, Francisco Chiclana
2018 J jnl
A visualization cybersecurity method based on features' dissimilarity.
Comput. Secur.
Rabah AlShboul, Fadi A. Thabtah, Neda Abdelhamid, Mofleh Al-Diabat
2018 — conf
An Improved Associative Classification Algorithm based on Incremental Rules.
ISD
Mohamed Salem Almnnaee, Fadi A. Thabtah, Joan Lu
2017 — conf
Autism Spectrum Disorder Screening: Machine Learning Adaptation and DSM-5 Fulfillment.
ICMHI
Fadi A. Thabtah
2017 J jnl
Phishing Detection: A Case Analysis on Classifiers with Rules Using Machine Learning.
J. Inf. Knowl. Manag.
Fadi A. Thabtah, Firuz Kamalov
2017 C conf
Phishing detection: A recent intelligent machine learning comparison based on models content and features.
ISI
Neda Abdelhamid, Fadi A. Thabtah, Hussein Abdel-jaber
2016 B conf
A dynamic self-structuring neural network model to combat phishing.
IJCNN
Fadi A. Thabtah, Rami Mustafa A. Mohammad, Lee McCluskey
2016 — conf
An Improved Self-Structuring Neural Network.
PAKDD Workshops
Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey
2016 — conf
Associative Classification Common Research Challenges.
ICPP Workshops
Neda Abdelhamid, Ahmad Abdul Jabbar, Fadi A. Thabtah
2016 J jnl
Constrained dynamic rule induction learning.
Expert Syst. Appl.
Fadi A. Thabtah, Issa Qabajeh, Francisco Chiclana
2016 J jnl
Deriving Correlated Sets of Website Features for Phishing Detection: A Computational Intelligence Approach.
J. Inf. Knowl. Manag.
Fadi A. Thabtah, Neda Abdelhamid
2015 C conf
A classification rules mining method based on dynamic rules' frequency.
AICCSA
Issa Qabajeh, Francisco Chiclana, Fadi A. Thabtah
2015 J jnl
Modeling discrete-time analytical models based on random early detection: Exponential and linear.
Int. J. Model. Simul. Sci. Comput.
Hussein Abdel-jaber, Fadi A. Thabtah, Mike E. Woodward
2015 J jnl
Parallel Associative Classification Data Mining Frameworks Based MapReduce.
Parallel Process. Lett.
Fadi A. Thabtah, Suhel Hammoud, Hussein Abdel-jaber
2015 J jnl
Tutorial and critical analysis of phishing websites methods.
Comput. Sci. Rev.
Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey
2014 J jnl
Associative Classification Approaches: Review and Comparison.
J. Inf. Knowl. Manag.
Neda Abdelhamid, Fadi A. Thabtah
2014 J jnl
Intelligent rule-based phishing websites classification.
IET Inf. Secur.
Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey
2014 J jnl
Phishing detection based Associative Classification data mining.
Expert Syst. Appl.
Neda Abdelhamid, Aladdin Ayesh, Fadi A. Thabtah
2014 J jnl
Predicting phishing websites based on self-structuring neural network.
Neural Comput. Appl.
Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey
2013 J jnl
Mr-arm: a Map-Reduce Association Rule Mining Framework.
Parallel Process. Lett.
Fadi A. Thabtah, Suhel Hammoud
2012 — conf
An assessment of features related to phishing websites using an automated technique.
ICITST
Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey
2012 — conf
An experimental study of three different rule ranking formulas in associative classification.
ICITST
Neda Abdelhamid, Aladdin Ayesh, Fadi A. Thabtah
2012 J jnl
Analytical Models based discrete-Time Queueing for the Congested Network.
Int. J. Model. Simul. Sci. Comput.
Mofleh Al-Diabat, Hussein Abdel-jaber, Fadi A. Thabtah, Osman Abou-Rabia, Mahmoud Kishta
2012 J jnl
Arabic Text Mining Using Rule Based Classification.
J. Inf. Knowl. Manag.
Fadi A. Thabtah, Omar Gharaibeh, Rashid Al-Zubaidy
2012 J jnl
MAC: A Multiclass Associative Classification Algorithm.
J. Inf. Knowl. Manag.
Neda Abdelhamid, Aladdin Ayesh, Fadi A. Thabtah, Samad Ahmadi, Wael Hadi
2011 J jnl
Analytical modeling of a multi-queue nodes network router.
Int. J. Autom. Comput.
Hussein Al-Bahadili, Jafar Ababneh, Fadi A. Thabtah
2011 — conf
Performance Analysis of the Proposed Adaptive Gentle Random Early Detection Method under NonCongestion and Congestion Situations.
DEIS
Hussein Abdel-jaber, Jafar Ababneh, Fadi A. Thabtah, Amjad M. Daoud, Mahmoud Baklizi
2011 J jnl
Prediction Phase in Associative Classification Mining.
Int. J. Softw. Eng. Knowl. Eng.
Fadi A. Thabtah, Wael Hadi, Neda Abdelhamid, Ayman Issa
2010 J jnl
A New Classification Based on Association Algorithm.
J. Inf. Knowl. Manag.
Fadi A. Thabtah, Qazafi Mahmood, Lee McCluskey, Hussein Abdel-jaber
2010 — conf
Derivation of Three Queue Nodes Discrete-Time Analytical Model Based on DRED Algorithm.
ITNG
Jafar Ababneh, Hussein Abdel-jaber, Fadi A. Thabtah, Wael Hadi, Emran Badarneh
2010 J jnl
Experimental Case Studies for Investigating E-Banking Phishing Techniques and Attack Strategies.
Cogn. Comput.
Maher Ragheb Aburrous, M. Alamgir Hossain, Keshav P. Dahal, Fadi A. Thabtah
2010 J jnl
Intelligent phishing detection system for e-banking using fuzzy data mining.
Expert Syst. Appl.
Maher Ragheb Aburrous, M. Alamgir Hossain, Keshav P. Dahal, Fadi A. Thabtah
2010 — conf
Predicting Phishing Websites Using Classification Mining Techniques with Experimental Case Studies.
ITNG
Maher Ragheb Aburrous, M. Alamgir Hossain, Keshav P. Dahal, Fadi A. Thabtah
2009 Misc conf
Hamming Code for Compressing Audio Files.
PDPTA
Mohammed Mahafzah, Ahmmad Sharieah, Fadi A. Thabtah
2009 C conf
Modelling Intelligent Phishing Detection System for E-banking Using Fuzzy Data Mining.
CW
Maher Ragheb Aburrous, M. Alamgir Hossain, Keshav P. Dahal, Fadi A. Thabtah
2008 — conf
Intelligent Quality Performance Assessment for E-Banking Security using Fuzzy Logic.
ITNG
Maher Ragheb Aburrous, M. Alamgir Hossain, Fadi A. Thabtah, Keshav P. Dahal
2008 — conf
Looking at the Class Associative Classification Training Algorithm.
ITNG
Fadi A. Thabtah, Qazafi Mahmood, Lee McCluskey
2008 J jnl
Mining the data from a hyperheuristic approach using associative classification.
Expert Syst. Appl.
Fadi A. Thabtah, Peter I. Cowling
2008 J jnl
Performance evaluation for DRED discrete-time queueing network analytical model.
J. Netw. Comput. Appl.
Hussein Abdel-jaber, Michael E. Woodward, Fadi A. Thabtah, Amer Abu-Ali
2007 — conf
A Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data.
World Congress on Engineering
Wa'el Musa Hadi, Fadi A. Thabtah, Hussein Abdel-jaber
2007 — conf
A Discrete-time Queue Analytical Model based on Dynamic Random Early Drop.
ITNG
Hussein Abdel-jaber, Michael E. Woodward, Fadi A. Thabtah, Mahmud Etbega
2007 J jnl
A greedy classification algorithm based on association rule.
Appl. Soft Comput.
Fadi A. Thabtah, Peter I. Cowling
2007 J jnl
A review of associative classification mining.
Knowl. Eng. Rev.
Fadi A. Thabtah
2007 — conf
Modelling BLUE Active Queue Management using Discrete-time Queue.
World Congress on Engineering
Hussein Abdel-jaber, Michael E. Woodward, Fadi A. Thabtah, Mofleh Al-Diabat
2006 — conf
Challenges and Interesting Research Directions in Associative Classification.
ICDM Workshops
Fadi A. Thabtah
2006 J jnl
Improving rule sorting, predictive accuracy and training time in associative classification.
Expert Syst. Appl.
Fadi A. Thabtah, Peter I. Cowling, Suhel Hammoud
2006 J jnl
Pruning Techniques in Associative Classification: Survey and Comparison.
J. Digit. Inf. Manag.
Fadi A. Thabtah
2006 — conf
Ranked Multi-Label Rules Associative Classifier.
SGAI Conf.
Fadi A. Thabtah
2006 J jnl
Rule Preference Effect in Associative Classification Mining.
J. Inf. Knowl. Manag.
Fadi A. Thabtah
2005 J jnl
A Study of Predictive Accuracy for Four Associative Classifiers.
J. Digit. Inf. Manag.
Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng
2005 C conf
MCAR: multi-class classification based on association rule.
AICCSA
Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng
2005 — conf
The Impact of Rule Ranking on the Quality of Associative Classifiers.
SGAI Conf.
Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng
2004 A* conf
MMAC: A New Multi-Class, Multi-Label Associative Classification Approach.
ICDM
Fadi A. Thabtah, Peter I. Cowling, Yonghong Peng