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Fadi Fayez
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Data imbalance in classification: Experimental evaluation
F Thabtah, S Hammoud, F Kamalov, A Gonsalves
Information Sciences 513, 429-441, 2020
5102020
Phishing detection based associative classification data mining
N Abdelhamid, A Ayesh, F Thabtah
Expert Systems with Applications 41 (13), 5948-5959, 2014
4182014
A review of associative classification mining
F Thabtah
The Knowledge Engineering Review 22 (1), 37-65, 2007
3952007
Predicting phishing websites based on self-structuring neural network
RM Mohammad, F Thabtah, L McCluskey
Neural Computing and Applications 25, 443-458, 2014
3782014
MMAC: A new multi-class, multi-label associative classification approach
FA Thabtah, P Cowling, Y Peng
Fourth IEEE International Conference on Data Mining (ICDM'04), 217-224, 2004
3542004
A machine learning framework for sport result prediction
RP Bunker, F Thabtah
Applied computing and informatics 15 (1), 27-33, 2019
3442019
MCAR: multi-class classification based on association rule
F Thabtah, P Cowling, Y Peng
The 3rd ACS/IEEE International Conference onComputer Systems and …, 2005
2962005
An assessment of features related to phishing websites using an automated technique
RM Mohammad, F Thabtah, L McCluskey
2012 international conference for internet technology and secured …, 2012
2852012
Intelligent rule‐based phishing websites classification
RM Mohammad, F Thabtah, L McCluskey
IET Information Security 8 (3), 153-160, 2014
2822014
Machine learning in autistic spectrum disorder behavioral research: A review and ways forward
F Thabtah
Informatics for Health and Social Care 43 (2), 1-20, 2018
2762018
Intelligent phishing detection system for e-banking using fuzzy data mining
M Aburrous, MA Hossain, K Dahal, F Thabtah
Expert systems with applications 37 (12), 7913-7921, 2010
2742010
Autism spectrum disorder screening: machine learning adaptation and DSM-5 fulfillment
F Thabtah
Proceedings of the 1st International Conference on Medical and health …, 2017
2352017
A new machine learning model based on induction of rules for autism detection
F Thabtah, D Peebles
Health informatics journal 26 (1), 264-286, 2020
2292020
A new computational intelligence approach to detect autistic features for autism screening
F Thabtah, F Kamalov, K Rajab
International journal of medical informatics 117, 112-124, 2018
1832018
Tutorial and Critical Analysis of Phishing Websites Methods
R Mohammad, F Thabtah, TL McCluskey
Computer Science Review, 2015
1772015
Exploring feature selection and classification methods for predicting heart disease
R Spencer, F Thabtah, N Abdelhamid, M Thompson
Digital health 6, 2055207620914777, 2020
1552020
Predicting phishing websites using classification mining techniques with experimental case studies
M Aburrous, MA Hossain, K Dahal, F Thabtah
2010 seventh international conference on information technology: New …, 2010
1512010
An accessible and efficient autism screening method for behavioural data and predictive analyses
F Thabtah
Health informatics journal 25 (4), 1739-1755, 2019
1452019
Early autism screening: a comprehensive review
F Thabtah, D Peebles
International journal of environmental research and public health 16 (18), 3502, 2019
1322019
NBA game result prediction using feature analysis and machine learning
F Thabtah, L Zhang, N Abdelhamid
Annals of Data Science 6 (1), 103-116, 2019
1322019
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