| 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 | 845 | 2020 |
| Image compression techniques: A survey in lossless and lossy algorithms AJ Hussain, A Al-Fayadh, N Radi Neurocomputing 300, 44-69, 2018 | 336 | 2018 |
| EGLN1 involvement in high-altitude adaptation revealed through genetic analysis of extreme constitution types defined in Ayurveda S Aggarwal, S Negi, P Jha, PK Singh, T Stobdan, MAQ Pasha, S Ghosh, ... Proceedings of the National Academy of Sciences 107 (44), 18961-18966, 2010 | 208 | 2010 |
| 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 | 201 | 2013 |
| 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 (1), 986736, 2015 | 194 | 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 | 182 | 2016 |
| 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 | 170 | 2019 |
| 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 | 167 | 2018 |
| 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 | 143 | 2017 |
| A systematic review on the status and progress of homomorphic encryption technologies M Alloghani, MM Alani, D Al-Jumeily, T Baker, J Mustafina, A Hussain, ... Journal of Information Security and Applications 48, 102362, 2019 | 117 | 2019 |
| 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 | 111 | 2009 |
| 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 | 104 | 2016 |
| A deep gated recurrent neural network for petroleum production forecasting R Al-Shabandar, A Jaddoa, P Liatsis, AJ Hussain Machine Learning with Applications 3, 100013, 2020 | 95 | 2020 |
| A task scheduling algorithm with improved makespan based on prediction of tasks computation time algorithm for cloud computing BA Al-Maytami, P Fan, A Hussain, T Baker, P Liatsis IEEE Access 7, 160916-160926, 2019 | 94 | 2019 |
| Boundary delineation of MRI images for lumbar spinal stenosis detection through semantic segmentation using deep neural networks AS Al-Kafri, S Sudirman, A Hussain, D Al-Jumeily, F Natalia, H Meidia, ... IEEE Access 7, 43487-43501, 2019 | 93 | 2019 |
| 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 | 93 | 2018 |
| 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 | 93 | 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 | 92 | 2008 |
| 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 | 90 | 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, 1-26, 2017 | 89 | 2017 |
Prof Dhiya Al-Jumeily OBEliverpool john moores universityVerified email at ljmu.ac.uk
