Author

Haza Nuzly Abdull Hamed

Universiti Teknologi Malaysia - Cited by 1,407 - Computational Intelligence

Biography

Dr.Haza Nuzly Abdull Hamed received the degree in information technology majoring in artificial intelligence from Universiti Utara Malaysia, the master’s degree in computer science from Universiti Teknologi Malaysia (UTM), and the Ph.D. degree from the Auckland University of Technology, New Zealand. He is currently a Senior Lecturer with the School of Computing and a Founding Member with the Applied Industrial Analytics Research Group (ALIAS), Faculty of Engineering, UTM. Before joining UTM, he has worked as a Web Programmer and a System Analyst. His research interests include computational intelligence, evolutionary computation, deep learning, optimization, spatiotemporal data processing, and information system development.
Title
Cited by
Year
Supervised, unsupervised, and semi-supervised feature selection: a review on gene selection
JC Ang, A Mirzal, H Haron, HNA HamedIEEE/ACM transactions on computational biology and bioinformatics 13 (5 …, 2015201
541
2015
Improved threshold based and trainable fully automated segmentation for breast cancer boundary and pectoral muscle in mammogram images
DA Zebari, DQ Zeebaree, AM Abdulazeez, H Haron, HNA HamedIeee Access 8, 203097-203116, 2020202
123
2020
Ordinal-based and frequency-based integration of feature selection methods for sentiment analysis
A Yousefpour, R Ibrahim, HNA HamedExpert Systems with Applications 75, 80-93, 2017201
68
2017
Multi-Level Fusion in Ultrasound for Cancer Detection Based on Uniform LBP Features.
DQ Zeebaree, AM Abdulazeez, DA Zebari, H Haron, HNA HamedComputers, Materials & Continua 66 (3), 2021202
62
2021
Test case prioritization using firefly algorithm for software testing
M Khatibsyarbini, MA Isa, DNA Jawawi, HNA Hamed, MDM SuffianIEEE access 7, 132360-132373, 2019201
48
2019
Semi-supervised SVM-based feature selection for cancer classification using microarray gene expression data
JC Ang, H Haron, HNA HamedInternational conference on industrial, engineering and other applications …, 2015201
37
2015
Quantum-inspired particle swarm optimisation for integrated feature and parameter optimisation of evolving spiking neural networks
N Kasabov, HNA HamedInternational Journal of Artificial Intelligence 7 (A11), 114-124, 2011201
37
2011
Probabilistic evolving spiking neural network optimization using dynamic quantum-inspired particle swarm optimization
HNA Hamed, N Kasabov, S ShamsuddinAustralian Journal of Intelligent Information Processing Systems 11 (1), 23-28, 2010201
30
2010
Feature reduction using standard deviation with different subsets selection in sentiment analysis
A Yousefpour, R Ibrahim, HN Abdull Hamed, MS HajmohammadiIntelligent Information and Database Systems: 6th Asian Conference, ACIIDS …, 2014201
24
2014
A novel feature reduction method in sentiment analysis
A Yousefpour, R Ibrahim, HN Abdull HamedInternational Journal of Innovative Computing 4 (1), 2014201
23
2014
A novel hybrid algorithm of differential evolution with evolving spiking neural network for pre-synaptic neurons optimization
AY Saleh, H Hameed, M Najib, M SallehInt. J. Advance Soft Compu. Appl 6 (1), 1-16, 2014201
22
2014
Computing with spiking neuron networks: a review
FY Ahmed, B Yusob, HNA HamedInternational Journal of Advances in Soft Computing & Its Applications 6 (1), 2014201
21
2014
Quantum-inspired particle swarm optimization for feature selection and parameter optimization in evolving spiking neural networks for classification tasks
HN Abdull Hamed, N Kasabov, SM ShamsuddinInTech, 2011201
21
2011
Reservoir-based evolving spiking neural network for spatio-temporal pattern recognition
S Schliebs, HNA Hamed, N KasabovNeural Information Processing: 18th International Conference, ICONIP 2011 …, 2011201
19
2011
An extended evolving spiking neural network model for spatio-temporal pattern classification
HNA Hamed, N Kasabov, SM Shamsuddin, H Widiputra, K DhobleThe 2011 International Joint Conference on Neural Networks, 2653-2656, 2011201
15
2011
Hybrid retinal image enhancement algorithm for diabetic retinopathy diagnostic using deep learning model
SH Abbood, HNA Hamed, MSM Rahim, A Rehman, T Saba, SA BahajIEEE Access 10, 73079-73086, 2022202
12
2022
A comparative study on sentiment analysis
A Yousefpour, R Ibrahim, HNA Hamed, MS HajmohammadiAdvances in Environmental Biology, 53-69, 2014201
11
2014
The implementation of Malaysian m-government services
NS Abu Bakar, AA Rahman, HN Abdull HamedAdvanced Science Letters 21 (5), 1122-1126, 2015201
10
2015
Spiking self-organizing maps for classification problem
B Yusob, SMH Shamsuddin, HNA HamedProcedia Technology 11, 57-64, 2013201
9
2013
Modeling and optimization of machining parameters using regression and cuckoo search in deep hole drilling process
A Mohamad, AM Zain, N Mohd Yusof, F Najarian, R Alwee, ...Applied Mechanics and Materials 92, 177-14, 2019201
8
2019

Referred From: https://scholar.google.com/citations?user=L4bZ3hoAAAAJ&hl=en

Cited by
Citations 1407
h-index 18
i10-index 23
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