Prof. Abir Jaafar hussain
Cited by
Cited by
Prediction of preterm deliveries from EHG signals using machine learning
P Fergus, P Cheung, A Hussain, D Al-Jumeily, C Dobbins, S Iram
PloS one 8 (10), e77154, 2013
Image compression techniques: A survey in lossless and lossy algorithms
AJ Hussain, A Al-Fayadh, N Radi
Neurocomputing 300, 44-69, 2018
Automatic epileptic seizure detection using scalp EEG and advanced artificial intelligence techniques
P Fergus, D Hignett, A Hussain, D Al-Jumeily, K Abdel-Aziz
BioMed research international 2015, 2015
A machine learning system for automated whole-brain seizure detection
P Fergus, A Hussain, D Hignett, D Al-Jumeily, K Abdel-Aziz, H Hamdan
Applied Computing and Informatics 12 (1), 70-89, 2016
A systematic review on supervised and unsupervised machine learning algorithms for data science
M Alloghani, D Al-Jumeily, J Mustafina, A Hussain, AJ Aljaaf
Supervised and unsupervised learning for data science, 3-21, 2020
Non-stationary and stationary prediction of financial time series using dynamic ridge polynomial neural network
R Ghazali, AJ Hussain, NM Nawi, B Mohamad
Neurocomputing 72 (10-12), 2359-2367, 2009
Application of convolutional neural networks for automated ulcer detection in wireless capsule endoscopy images
H Alaskar, A Hussain, N Al-Aseem, P Liatsis, D Al-Jumeily
Sensors 19 (6), 1265, 2019
Advanced artificial neural network classification for detecting preterm births using EHG records
P Fergus, I Idowu, A Hussain, C Dobbins
Neurocomputing 188, 42-49, 2016
Dynamic Ridge Polynomial Neural Network: Forecasting the univariate non-stationary and stationary trading signals
R Ghazali, AJ Hussain, P Liatsis
Expert Systems with Applications 38 (4), 3765-3776, 2011
Financial time series prediction using polynomial pipelined neural networks
AJ Hussain, A Knowles, PJG Lisboa, W El-Deredy
Expert Systems with Applications 35 (3), 1186-1199, 2008
Machine learning approaches to predict learning outcomes in Massive open online courses
R Al-Shabandar, A Hussain, A Laws, R Keight, J Lunn, N Radi
2017 International joint conference on neural networks (IJCNN), 713-720, 2017
Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women
AJ Hussain, P Fergus, H Al-Askar, D Al-Jumeily, F Jager
Neurocomputing 151, 963-974, 2015
IoT-fog optimal workload via fog offloading
M Al-Khafajiy, T Baker, A Waraich, D Al-Jumeily, A Hussain
2018 IEEE/ACM international conference on utility and cloud computing …, 2018
Early prediction of chronic kidney disease using machine learning supported by predictive analytics
AJ Aljaaf, D Al-Jumeily, HM Haglan, M Alloghani, T Baker, AJ Hussain, ...
2018 IEEE congress on evolutionary computation (CEC), 1-9, 2018
Recurrent pi-sigma networks for DPCM image coding
AJ Hussain, P Liatsis
Neurocomputing 55 (1-2), 363-382, 2003
Predicting the likelihood of heart failure with a multi level risk assessment using decision tree
AJ Aljaaf, D Al-Jumeily, AJ Hussain, T Dawson, P Fergus, M Al-Jumaily
2015 Third International Conference on Technological Advances in Electrical …, 2015
Hybrid neural network predictive-wavelet image compression system
AJ Hussain, D Al-Jumeily, N Radi, P Lisboa
Neurocomputing 151, 975-984, 2015
A novel method of early diagnosis of Alzheimer’s disease based on EEG signals
D Al-Jumeily, S Iram, FB Vialatte, P Fergus, A Hussain
The scientific world journal 2015, 2015
Classification of caesarean section and normal vaginal deliveries using foetal heart rate signals and advanced machine learning algorithms
P Fergus, A Hussain, D Al-Jumeily, DS Huang, N Bouguila
Biomedical engineering online 16 (1), 1-26, 2017
Application of ridge polynomial neural networks to financial time series prediction
R Ghazali, A Hussain, W El-Deredy
Neural Networks, 2006. IJCNN'06. International Joint Conference on, 913-920, 2006
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