Lee McCluskey - researchr alias

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Viewing Publication 1 - 14 from 14

2016

An Improved Self-Structuring Neural NetworkRami M. Mohammad, Fadi A. Thabtah, Lee McCluskey. pakdd 2016: 35-47 [doi]

A dynamic self-structuring neural network model to combat phishingFadi A. Thabtah, Rami M. Mohammad, Lee McCluskey. ijcnn 2016: 4221-4226 [doi]

2015

Tutorial and critical analysis of phishing websites methodsRami M. Mohammad, Fadi A. Thabtah, Lee McCluskey. csr, 17:1-24, 2015. [doi]

2014

Intelligent rule-based phishing websites classificationRami M. Mohammad, Fadi A. Thabtah, Lee McCluskey. iet-ifs, 8(3):153-160, 2014. [doi]

Predicting phishing websites based on self-structuring neural networkRami M. Mohammad, Fadi A. Thabtah, Lee McCluskey. nca, 25(2):443-458, 2014. [doi]

2012

An assessment of features related to phishing websites using an automated techniqueRami M. Mohammad, Fadi A. Thabtah, Lee McCluskey. icitst 2012: 492-497 [doi]

Large-scale Parallel Stratified Defeasible ReasoningIlias Tachmazidis, Grigoris Antoniou, Giorgos Flouris, Spyros Kotoulas, Lee McCluskey. ecai 2012: 738-743 [doi]

2010

2008

Looking at the Class Associative Classification Training AlgorithmFadi A. Thabtah, Qazafi Mahmood, Lee McCluskey. itng 2008: 426-431 [doi]

2007

Introduction to the Special Issue on Knowledge Engineering Tools and Techniques for Automated Planning and Scheduling SystemsRoman Barták, Lee McCluskey. ker, 22(2):115-116, 2007. [doi]

2006

The First Competition on Knowledge Engineering for Planning and SchedulingRoman Barták, Lee McCluskey. aim, 27(1):97-98, 2006.

1989

Progress in machine learning - Proceedings of EWSL 87: Second European working session on learning by I. Bratko and N. Lavrac (eds.), Sigma Press, pp 256, £14.95Lee McCluskey. ker, 4(3):251-252, 1989. [doi]

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