Dr Md Anisur Rahman
Dr Md Anisur Rahman
Lecturer in Business Analytics, La Trobe Business School, La Trobe University
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Cited by
Cited by
CoroDet: a deep learning based classification for COVID-19 detection using chest X-ray images
E Hussain, M Hasan, MA Rahman, I Lee, T Tamanna, MZ Parvez
Chaos, Solitons & Fractals 142, 110495, 2021
A hybrid clustering technique combining a novel genetic algorithm with k-means
MA Rahman, MZ Islam
Knowledge-Based Systems 71, 345-365, 2014
Performance measurement of various routing protocols in ad-hoc networks
MA Rahman, MS Islam, A Talevski
International MultiConference of Engineers and Computer Scientists (IMECS …, 2009
Combining k-means and a genetic algorithm through a novel arrangement of genetic operators for high quality clustering
MZ Islam, V Estivill-Castro, MA Rahman, T Bossomaier
Expert Systems with Applications 91, 402-417, 2017
Deep learning based binary classification for alzheimer’s disease detection using brain MRI images
E Hussain, M Hasan, SZ Hassan, TH Azmi, MA Rahman, MZ Parvez
2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2020
Using data mining to predict emergency department length of stay greater than 4 hours: derivation and single-site validation of a decision tree algorithm
MA Rahman, B Honan, T Glanville, P Hough, K Walker
Emergency Medicine Australasia 32 (3), 416-421, 2019
CRUDAW: a novel fuzzy technique for clustering records following user defined attribute weights
MA Rahman, MZ Islam
Tenth Australasian Data Mining Conference (AusDM 2012) 134, 27-42, 2012
TCP variants and network parameters: a comprehensive performance analysis
MS Islam, MA Kashem, WH Sadid, MA Rahman, MN Islam, S Anam
International MultiConference of Engineers and Computer Scientists (IMECS 2009), 2009
Consumer behavior analysis using EEG signals for neuromarketing application
CR Amin, MF Hasin, TS Leon, AB Aurko, T Tamanna, MA Rahman, ...
2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2061-2066, 2021
Unique neighborhood set parameter independent density-based clustering with outlier detection
MA Rahman, LM Ang, KP Seng
IEEE Access 6, 44707-44717, 2018
A data mining framework to predict cyber attack for cyber security
MA Rahman, Y Al-Saggaf, T Zia
2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2020
Seed-Detective: a novel clustering technique using high quality seed for k-means on categorical and numerical attributes
MA Rahman, MZ Islam
Proceedings of the 9th Australasian Data Mining Conference (AusDM 2011), 211-219, 2011
Identification and prediction of phubbing behavior: a data-driven approach
MA Rahman, M Duradoni, A Guazzini
Neural Computing and Applications 34, 3885–3894, 2022
Application of a density based clustering technique on biomedical datasets
MA Rahman, MZ Islam
Applied Soft Computing 73, 623-634, 2018
ModEx and Seed-Detective: two novel techniques for high quality clustering by using good initial seeds in k-means
MA Rahman, MZ Islam, T Bossomaier
Journal of King Saud University - Computer and Information Sciences 27 (2 …, 2015
Predicting seizure onset based on time-frequency analysis of EEG signals
T Tamanna, MA Rahman, S Sultana, MH Haque, MZ Parvez
Chaos, Solitons & Fractals 145, 110796, 2021
Automatic selection of high quality initial seeds for generating high quality clusters without requiring any user Inputs
MA Rahman
Charles Sturt University, 2014
Denclust: a density based seed selection approach for k-means
MA Rahman, MZ Islam, T Bossomaier
In Proc. 13th International Conference on Artificial Intelligence and Soft …, 2014
Clustering biomedical and gene expression datasets with kernel density and unique neighborhood set based vein detection
MA Rahman, LM Ang, KP Seng
Information Systems 91, 101490, 2020
Cybersecurity in smart cities: Detection of opposing decisions on anomalies in the computer network behavior
D Protic, L Gaur, M Stankovic, MA Rahman
Electronics 11 (22), 2022
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