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Vohra, R, Hussain, A, Dudyala, AK, Pahareeya, J and Khan, W (2022) Multi-class classification algorithms for the diagnosis of anemia in an outpatient clinical setting. PLoS One, 17 (7). ISSN 1932-6203

Alatrany, AS, Hussain, A, Mustafina, J and Al-Jumeily, D (2022) Machine learning approaches and applications in genome wide association study for Alzheimer’s Disease: A systematic review. IEEE Access, 10. pp. 62831-62847.

Topham, L, Khan, W, Al-Jumeily, D and Hussain, A (2022) Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models. ACM Computing Surveys. ISSN 0360-0300

Mahmmod, BM, Abdulhussain, SH, Suk, T and Hussain, A (2022) Fast Computation of Hahn Polynomials for High Order Moments. IEEE Access.

Khan, W, Alusi, S, Tawfik, H and Hussain, A (2021) The relationship between non-motor features and weight-loss in the premanifest stage of Huntington's disease. PLoS One, 16 (7). ISSN 1932-6203

Ghareeb, S, Hussain, A, Khan, W, Al-Jumeily, D, Baker, T and Al Jumeily, R (2021) Dataset of student level prediction in UAE. Data in Brief, 35. ISSN 2352-3409

Khan, W, Hussain, A, Khan, SA, Al-Jumailey, M, Nawaz, R and Liatsis, P (2021) Analysing the Impact of Global Demographic Characteristics over the COVID-19 Spread Using Class Rule Mining and Pattern Matching. Royal Society Open Science, 8 (1). ISSN 2054-5703

Alwan, JK, Hussain, A, Abd, DH, Sadiq, AT, Khalaf, M and Liatsis, P (2021) Political Arabic Articles Orientation Using Rough Set Theory with Sentiment Lexicon. IEEE Access. ISSN 2169-3536

Nooripour, R, Hosseinian, S, Hussain, A, Annabestani, M, Maadal, A, Radwin, LE, Hassani-Abharian, P, Pirkashani, NG and Khoshkonesh, A (2021) How Resiliency and Hope Can Predict Stress of Covid-19 by Mediating Role of Spiritual Well-being Based on Machine Learning. Journal of Religion and Health. ISSN 0022-4197

Khan, W, Crocket, K, Oshea, J, Hussain, A and Khan, B (2020) Deception in the Eyes of Deceiver: A Computer Vision and Machine Learning Based Automated Deception Detection. Expert Systems with Applications. ISSN 0957-4174

Kleanthous, N, Hussain, A, Khan, W and Liatsis, P (2020) A new machine learning based approach to predict Freezing of Gait. Pattern Recognition Letters, 140. pp. 119-126. ISSN 0167-8655

Mohammed Almansor, MA, Zhang, C, Khan, W, Hussain, A and Alhusaini, N (2020) Cross Lingual Sentiment Analysis: A Clustering-Based Bee Colony Instance Selection and Target-Based Feature Weighting Approach. Sensors, 20 (18). ISSN 1424-8220

Ahmed, Z, Hussain, A, Khan, W, Baker, T, Al-Askar, H, Lunn, J, Liatsis, P, Al-Jumeily, D and Al-Shabandar, R (2020) Lossy and Lossless Video Frame Compression: A Novel Approach for the High-Temporal Video Data Analytics. Remote Sensing, 12 (6). ISSN 2072-4292

Hind, J, Lisboa, P, Hussain, A and Al-Jumeily, D (2019) A Novel Approach to Detecting Epistasis using Random Sampling Regularisation. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17 (5). ISSN 1545-5963

Al-Maytami, BA, Fan, P, Hussain, A, Baker, T and Liatsis, P (2019) A Task Scheduling Algorithm with Improved Makespan Based on Prediction of Tasks Computation Time algorithm for Cloud Computing. IEEE Access, 7. pp. 160916-160926. ISSN 2169-3536

Al-Maytami, B, Fan, P, Hussain, A, Baker, T and Liatsis, P (2019) An Efficient Queries Processing Model Based on Multi Broadcast Searchable Keywords Encryption (MBSKE). Ad Hoc Networks, 19. ISSN 1570-8705

Al-Shabandar, R, Hussain, A, Liatsis, P and Keight, R (2019) Detecting At-Risk Students with Early Interventions Using Machine Learning Techniques. IEEE Access, 7. pp. 149464-149478. ISSN 2169-3536

Alloghani, MAMA, Alani, MM, Al-Jumeily, D, Baker, T, Mustafina, J, Hussain, A and Aljaaf, AJ (2019) A Systematic Review on the Status and Progress of Homomorphic Encryption Technologies. Journal of Information Security and Applications, 48. ISSN 2214-2126

Alsadhan, A, Hussain, A, Liatsis, P, Alani, M, Tawfik, H, Kendrick, P and Francis, H (2019) Locally Weighted Classifiers for Detection of Neighbour Discovery Protocol DDoS and Replayed Attacks. Transactions on Emerging Telecommunications Technologies. ISSN 2161-3915

Aljaaf, AJ, Van Tonder, L, Mallucci, C, Al-Jumeily, D, Hussain, A and Alloghani, M (2019) Patients Attitude to Technology: A Way to Improve Hydrocephalus Management and Follow up Using Smartphone Intelligent Application. Journal of Medical Sciences, 43 (9). ISSN 0148-5598

McWhirter, PR, Hussain, A, Al-Jumeily, D, Steele, IA and Vellasco, M (2019) Classifying Periodic Astrophysical Phenomena from non-survey optimized variable-cadence observational data. Expert Systems with Applications. ISSN 0957-4174

Al-Kafri, AS, Sudirman, S, Hussain, A, Al-Jumeily, D, Natalia, F, Meidia, H, Afriliana, N, Al-Rashdan, W, Bashtawi, M and Al-Jumaily, M (2019) Boundary Delineation of MRI Images for Lumbar Spinal Stenosis Detection through Semantic Segmentation using Deep Neural Networks. IEEE Access. ISSN 2169-3536

Alaskar, H, Hussain, A, Al-Aseem, N, Liatsis, P and Al-Jumeily, D (2019) Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images. Sensors, 19 (6). ISSN 1424-8220

Kendrick, P, Baker, T, Maamar, Z, Hussain, A, Buyya, R and Al-Jumeily, D (2018) An Efficient Multi-Cloud Service Composition Using A Distributed Multiagent-based, Memory-driven Approach. IEEE Transactions on Sustainable Computing. ISSN 2377-3782

Hussain, A and Ahmed, Z (2018) A survey on video compression fast block matching algorithms. Neurocomputing, 335. pp. 215-237. ISSN 0925-2312

Al-Shabandar, R, Hussain, A, Liatsis, P and Keight, R (2018) Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach. IEEE Access, 6. pp. 73669-73685. ISSN 2169-3536

McWhirter, PR, Hussain, A, Steele, IA, Al-Jumeily, D and Vellasco, M (2018) GRAPE: Genetic Routine for Astronomical Period Estimation. Monthly Notices of the Royal Astronomical Society, 479 (4). pp. 5196-5213. ISSN 1365-2966

Hussain, A, Liatsis, P, Khalaf, M, Tawfik, H and Alaskar, H (2018) A Dynamic Neural Network Architecture with immunology Inspired Optimization for Weather Data Forecasting. Big Data Research. ISSN 2214-5796

Hussain, A, Al-Fayadh, A and Radi, N (2018) Image Compression Techniques: A Survey in Lossless and Lossy algorithms. Neurocomputing. ISSN 0925-2312

Kendrick, P, Criado, N, Hussain, A and Randles, M (2018) A Self-Organising Multi-Agent System For Decentralised Forensic Investigations. Expert Systems with Applications, 102. pp. 12-26. ISSN 0957-4174

Alloghani, MAMA, Petrov, E, Hussain, A, Al-Jumeily, D, Mustafina, J and Slavina, L (2017) Quality Improvement of Educational Systems: Using iPads and Smart Tablets for Autism Learners to Accomplish Class Activities. International Journal of Scientific Study, 5 (6). pp. 117-122. ISSN 2321-6379

Al-Shabandar, R, Hussain, A, Laws, A, Keight, R and Lunn, J (2017) Towards the Differentiation of Initial and Final Retention in Massive Open Online Courses. Lecture Notes in Computer Science, 10361. ISSN 0302-9743

Fergus, P, Hussain, A, Al-Jumeily, D, Huang, D and Bouguila, N (2017) Classification of Caesarean Section and Normal Vaginal Deliveries Using Foetal Heart Rate Signals and Advanced Machine Learning Algorithms. BioMedical Engineering OnLine, 16 (89). ISSN 1475-925X

Khalaf, M, Hussain, A, Keight, R, Al-Jumeily, D, Fergus, P, Keenan, R and Tso, P (2017) Machine Learning approaches to the application of Disease Modifying Therapy for Sickle Cell using Classification Models. NEUROCOMPUTING, 228. pp. 154-164. ISSN 0925-2312

Fergus, P, Hussain, A, Al-Jumeily, D, Kaky, A and Lunn, J (2016) A Data Science and Machine Learning Approach to Measure and Monitor Physical Activity in Children. Neurocomputing, 228. pp. 220-230. ISSN 1872-8286

Al-Jumeily, D, Hussain, A, Abuelmaatti, O, Fergus, P and Lunn, J (2016) An open learning system for special needs education. Knowledge Management & E-Learning: An International Journal, 8 (1). pp. 68-85. ISSN 2073-7904

Hussain, A, Lunn, J, Khalaf, M, Al-Jumeily, D, Pich, A and McCarthy, S (2016) The use of serious gaming for Open Learning environments. Knowledge Management & E-Learning: An International Journal, 8 (1). pp. 39-54. ISSN 2073-7904

Hussain, A, Al-Jumeily, D, Al-Askar, H and Radi, N (2015) Regularized dynamic self-organized neural network inspired by the immune algorithm for financial time series prediction. Neurocomputing. ISSN 1872-8286

Fergus, P, Hussain, A, Al-Jumeily, D, Idowu, IO and Al-Askar, H (2015) Advanced Artificial Neural Network Classification for Detecting Preterm Births Using EHG Records. NEUROCOMPUTING. ISSN 0925-2312

Fergus, P, Hussain, A, Hearty, J, Fairclough, SJ, Boddy, LM, Mackintosh, KA, Stratton, G, Ridgers, ND and Radi, N (2015) A Machine Learning Approach to Measure and Monitor Physical Activity in Children to Help Fight Overweight and Obesity. Intelligent Computing Theories and Methodologies, 9226. pp. 676-688. ISSN 0302-9743

Fergus, P, Hussain, A, Al-Jumeily, D and Radi, N (2015) A position paper on predicting the onset of nocturnal enuresis using advanced machine learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9226. pp. 689-700. ISSN 0302-9743

Al-Jumeily, D, Hussain, A, Alghamdi, M, Dobbins, C and Lunn, J (2015) Educational crowdsourcing to support the learning of computer programming. Research and Practice in Technology Enhanced Learning (RPTEL): Special Issue on Emerging Trends for Open Access Learning. ISSN 1793-7078

Taylor, MJ, Higgins, E, Lisboa, P, Jarman, I and Hussain, A (2015) Community fire prevention via population segmentation modelling. Community Development Journal. ISSN 1468-2656

Hussain, A, Fergus, P, Al-Askar, H, Al-Jumeily, D and Jager, F (2015) Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women. NEUROCOMPUTING, 151. pp. 963-974. ISSN 0925-2312

Fergus, P, Hussain, A, Hignett, D, Al-Jumeily, D, Abdel-Aziz, K and Hamdan, H (2015) A machine learning system for automated whole-brain seizure detection. Applied Computing and Informatics. ISSN 2210-8327

Fergus, P, Hussain, A and Al-Jumeily, D (2015) A Machine Learning System for Automatic Detection of Preterm Activity Using Artificial Neural Networks and Uterine Electromyography Data. International Journal of Adaptive and Innovative Systems, 2 (2). pp. 161-179. ISSN 1740-2115

Fergus, P, Hignett, D, Hussain, A, Al-Jumeily, D and Abdel-Aziz, K (2015) Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques. BIOMED RESEARCH INTERNATIONAL, 2015. pp. 1-17. ISSN 2314-6133

Al-Jumeily, D and Hussain, A (2015) The Performance of Immune Based Neural Network with Financial Time Series Prediction. Cogent Engineering, 2 (1). ISSN 2331-1916

Al-Jumeily, D, Iram, S, Vialatte, FB, Fergus, P and Hussain, A (2015) A novel method of early diagnosis of Alzheimer's disease based on EEG signals. ScientificWorld Journal, 2015. ISSN 2356-6140

Fergus, P, Hussain, A and Al-Jumeily, D (2014) A Smart Framework for Predicting the Onset of Nocturnal Enuresis (PrONE) in Children and Young People. International Journal of Engineering and Technical Research, 2 (11). pp. 372-379. ISSN 2321-0869

Hussain, A, Al-Jumeily, D, Radi, N and Lisboa, P (2014) Hybrid Neural Network Predictive-Wavelet Image Compression System. NEUROCOMPUTING, 151. ISSN 0925-2312

Reid, D, Hussain, A and Tawfik, H (2014) Financial time series prediction using spiking neural networks. PLoS ONE, 9 (8). pp. 1-13. ISSN 1932-6203

Al-Jumeily, D, Ghazali, R and Hussain, A (2014) Predicting Physical Time Series Using Dynamic Ridge Polynomial Neural Networks. PLOS ONE, 9 (8). ISSN 1932-6203

Fergus, P, Idowu, IO, Hussain, A, Dobbins, C and Al-Askar, H (2014) Evaluation of advanced artificial neural network classification and feature extraction techniques for detecting preterm births using ehg records. Intelligent Computing in Bioinformatics: Lecture Notes in Computer Science, 8590. pp. 309-314. ISSN 0302-9743

Fergus, P, Cheung, P, Hussain, A, Al-Jumeily, D, Dobbins, C and Iram, S (2013) Prediction of Preterm Deliveries from EHG Signals Using Machine Learning. PLOS ONE, 8 (10). ISSN 1932-6203

Khan, W, Hussain, A, Alaskar, H, Baker, T, Ghali, F, Al-Jumeily, D and Al-Shamma’a, AI Prediction of Flood Severity Level Via Processing IoT Sensor Data Using Data Science Approach. IEEE Internet of Things Magazine. ISSN 2576-3180 (Accepted)

Khan, W, Hussain, A, Kuru, K and Al-askar, H Pupil Localisation and Eye Centre Estimation using Machine Learning and Computer Vision. Sensors (Roboti). ISSN 1424-8220 (Accepted)

Conference or Workshop Item

Harper, M, Ghali, F, Hussain, A and Al-Jumeily, D (2021) Challenges in Data Capturing and Collection for Physiological Detection of Dementia-Related Difficulties and Proposed Solutions. In: Lecture Notes in Computer Science , 12838.. pp. 162-173. (International Conference on Intelligent Computing, 12-15th August 2021, Shenzhen, China).

Harper, M, Ghali, F, Hussain, A and Al-Jumeily, D (2021) Review of Methods for Data Collection Experiments with People with Dementia and the Impact of COVID-19. In: Lecture Notes in Computer Science , 12838. pp. 132-147. (International Conference on Intelligent Computing, 12-15th August 2021, Shenzhen, China).

Natasa, K, Hussain, A, Khan, W, Sneddon, J and Mason, A (2020) Feature Extraction and Random Forest to Identify Sheep Behavior from Accelerometer Data. In: Intelligent Computing Methodologies , 12465. pp. 408-419. (ICIC 2020, 2-5th October 2020, Bari, Italy).

Alshabandar, R, Hussain, A, Keight, R and Khan, W (2020) Students Performance Prediction in Online Courses Using Machine Learning Algorithms. In: 2020 International Joint Conference on Neural Networks (IJCNN) . (2020 International Joint Conference on Neural Networks (IJCNN), 19 July 2020 - 24 July 2020, Glasgow, UK).

Curbelo Montañez, CA, Fergus, P, Montañez, AC, Hussain, A, Al-Jumeily, D and Chalmers, C (2018) Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. In: 2018 International Joint Conference on Neural Networks (IJCNN) . (IEEE World Congress on Computational Intelligence, 8th - 13th July 2018, Rio de Janeiro, Brazil).

Keight, R, Al-Jaaf, A, Hussain, A, Al-Jumeily, D, Ozge, A and Mallucci, C (2017) An Intelligent Systems Approach to Primary Headache Diagnosis. In: Lecture Notes in Computer Science . pp. 61-72. (International Conference Intelligent Computing, 07 August 2017 - 10 August 2017, Liverpool).

McWhirter, PR, Steele, IA, Al-Jumeily, D and Hussain, A (2017) The Classification of Periodic Light Curves from non-survey optimized observational data through Automated Extraction of Phase-based Visual Features. In: Neural Networks (IJCNN) . (2017 International Joint Conference on Neural Networks (IJCNN 2017), 14 May 2017 - 19 May 2017, Anchorage, Alaska, USA).

Curbelo Montañez, CA, Fergus, P, Hussain, A and Al-Jumeily, D (2017) Machine Learning Approaches for the Prediction of Obesity using Publicly Available Genetic Profiles. In: Neural Networks (IJCNN) . (2017 International Joint Conference on Neural Network, 14 May 2017 - 19 May 2017, Anchorage, Alaska, USA).

Al-Shabandar, R, Hussain, A, Laws, A, Keight, R and Lunn, J (2017) Machine Learning Approaches to Predict Learning Outcomes in Massive Open Online Courses. In: Neural Networks (IJCNN) . (2017 International Joint Conference on Neural Networks (IJCNN 2017), 14 May 2017 - 19 May 2017, Anchorage, Alaska, USA).

Keight, R, Al-Jumeily, D, Hussain, A, Al-Jumaily, M and Mallucci, C (2017) Towards the Discrimination of Primary and Secondary Headache: An Intelligent Systems Approach. In: International Journal of Neural Networks . (2017 International Joint Conference on Neural Networks (IJCNN 2017), 14 May 2017 - 19 May 2017, Anchorage, Alaska, USA).

Randles, M, Johnson, P and Hussain, A (2017) Internet of Things Eco-Systems: Assured Interactivity of Devices and Data Through Cloud Based Team Work. In: International Conference Proceedings Series . (Second International conference on Internet of Things, Data and Cloud Computing (ICC'17), 22 March 2017 - 23 March 2017, Churchill College, University of Cambridge, UK).

Kendrick, P, Randles, M, Hussain, A and Criado, N (2017) Multi-Agent Systems for Scalable Internet of Things Security. In: Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing . (The second International Conference on Internet of Things, Data and Cloud Computing (ICC 2017), 22 March 2017 - 23 December 2017, Cambridge, UK).

Alloghani, MAMA, Hussain, A, Al-Jumeily, D and AlJaaf, A (2017) Gamification in e-Governance: Development of an online gamified system to enhance government entities services delivery and promote public's awareness. In: International Conference Proceedings Series by ACM . (2017 5th International Conference on Information and Education Technology (ICIET 2017), 10 January 2017 - 12 January 2017, Tokyo, Japan).

Aljaaf, A, Hussain, A, Fergus, P, Przybyla, A and Barton, GJ (2016) Evaluation of Machine Learning Methods to Predict Knee Loading from the Movement of Body Segments. In: Neural Networks (IJCNN) . (IEEE World Congress on Computational Intelligence, 24 July 2016 - 29 July 2016, Canada).

Alloghani, MAMA, Hussain, A, Al-Jumeily, D and Abuelmaatti, OE (2016) Technology Acceptance Model for the Use of M-Health Services among health related users in UAE. In: 8th International Conference Development in eSystems Engineering . (DeSE 2015, 13 December 2015 - 14 December 2015, Burj Khalifa, Dubai, UAE).

Francis, H, Hussain, A, Connell, L, Al-Jumeily, D, Fergus, P, Lunn, J and Radi, N (2016) An Investigation into Gender Disparities in the Field of Computing. In: 2015 International Conference on Developments of E-Systems Engineering . pp. 20-25. (8th International Conference on Developments in eSystems Engineering, 13th-14th December 2015, Abu Dhabi, United Arab Emirates).

Aljaaf, A, Al-Jumeily, D, Hussain, A, Fergus, P, al-jumaily, M and Hamdan, H (2016) Partially Synthesised Dataset to Improve Prediction Accuracy (Case Study: Prediction of Heart Diseases). In: Intelligent Computing Theories and Application: Lecture Notes in Computer Science , 9771. pp. 855-866. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

Khalaf, M, Hussain, A, Al-Jumeily, D, Keight, R, Keenan, R, Fergus, P, AlAskar, H, Shaw, A and Olatunji, I (2016) Training Neural networks for Experimental models: Classifying Biomedical Datasets for Sickle Cell Disease. In: Intelligent Computing Theories and Application: Lecture Notes in Computer Science , 9771. pp. 784-795. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

McWhirter, PR, Wright, S, Steele, IA, Al-Jumeily, D, Hussain, A and Fergus, P (2016) A Dynamic, Modular Intelligent-Agent framework for Astronomical Light Curve Analysis and Classification. In: Intelligent Computing Theories and Application: Lecture Notes in Computer Science , 9771. pp. 820-831. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

Al Kafri, A, Sudirman, S, Hussain, A, Fergus, P, Al-Jumeily, D, Al-Jumaily, M and Alaskar, H (2016) A Framework on A Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain using Artificial Intelligence and Computer Graphics Technologies. In: Intelligent Computing Theories and Application: Lecture Notes in Computer Science , 9771. pp. 843-854. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

Aday Curbelo Montañez, C, Fergus, P, Hussain, A, Al-Jumeily, D, Abdulaimma, B and Al-askar, H (2016) A Genetic Analytics Approach for Risk Variant Identification to Support Intervention Strategies for People Susceptible to Polygenic Obesity and Overweigh. In: Intelligent Computing Theories and Application: Lecture Notes in Computer Science , 9771. pp. 808-819. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

Kendrick, P, Hussain, A and Criado, N (2016) Multi-Agent Systems for Dynamic Forensic Investigation. In: Intelligent Computing Theories and Application: Lecture Notes in Computer Science . (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

Alloghani, MAMA, Hussain, A, Al-Jumeily, D, Fergus, P, Abuelma'atti, O and Hamdan, H (2016) A Mobile Health Monitoring Application for Obesity Management and Control Using the Internet-of-Things 1Mohamed. In: Digital Information Processing and Communications (ICDIPC), . (Sixth International Conference on Digital Information Processing and Communications (ICDIPC), 21 April 2016 - 23 April 2016, Lebanon).

Khalaf, M, Hussain, A, Keight, R, Al-Jumeily, D, Keenan, R, Fergus, P and Idowu, IO (2016) The Utilisiation of composite Machine Learning models for the Classification of Medical Datasets For Sickle Cell Disease. In: 2016 Sixth International Conference on Digital Information Processing and Communications (ICDIPC) . (Sixth International Conference on Digital Information Processing and Communications (ICDIPC), 21 April 2016 - 23 April 2016, Lebanon).

Idowu, IO, Fergus, P, Hussain, A, Dobbins, C, Khalaf, M, Casana Eslava, R and Keight, R (2015) Artificial Intelligence for Detecting Preterm Uterine Activity in Gynacology and Obstertric Care. In: 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM) . pp. 215-220. (15th IEEE International Conference on Computer and Information Technology (CIT’15), 26 October 2015 - 28 October 2015, Liverpool, UK).

Khalaf, M, Hussain, A, Al-Jumeily, D, Fergus, P, Keenan, R and Radi, N (2015) A Framework to Support Ubiquitous Healthcare Monitoring and Diagnostic for Sickle Cell Disease. In: Intelligent Computing Theories and Methodologies: Lecture Notes in Computer Science , 9226. (International Conference on Intelligent Computation, 20 August 2015 - 23 April 2016, Fuzhou, China).

Aljaaf, AJ, Al-Jumeily, D, Hussain, A, Fergus, P, Dawson, T and Al-Jumaily, M (2015) Predicting the likelihood of heart failure with a multi level risk assessment using decision tree. In: 2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE) . pp. 101-106. (3rd International Conference on Technological Advances in Electrical, Electronics and Computer Engineering, TAEECE 2015, 29th April - 1st May 2015, Beirut, Lebanon).

Hussain, A, Al-Jumeily, D and Al-Askar, H (2015) The application of dynamic self-organised multilayer network inspired by the Immune Algorithm for weather signals forecast. In: Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2015 Third International Conference on . pp. 94-100. (3rd International Conference on Technological Advances in Electrical, Electronics and Computer Engineering, TAEECE 2015, 29th April - 1st May 2015, Beirut, Lebanon).

Idowu, IO, Fergus, P, Hussain, A, Dobbins, C and Al-Askar, H (2014) Advance Artificial Neural Network Classification Techniques Using EHG for Detecting Preterm Births. In: 2014 EIGHTH INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS (CISIS), . (8th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), 02 July 2014 - 04 July 2014, Birmingham City Univ, Birmingham, UNITED KINGDOM).

Iram, S, Al-Jumeily, D, Fergus, P and Hussain, A (2014) Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets using Multiple Classifiers. In: 2014 EIGHTH INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS (CISIS), . (8th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), 02 July 2014 - 04 July 2014, Birmingham City Univ, Birmingham, UNITED KINGDOM).

Khan, W, Topham, L, Khan, B, Yasen, S, Al-Dahiri, A, Vellasco, M, Kolivand, H and Hussain, A Acceptance and Perception of Covid-19 Vaccination for Children. In: 2022 IEEE World Congress on Computational Intelligence . (2022 IEEE World Congress on Computational Intelligence, Padova, Italy). (Accepted)

Curbelo Montañez, CA, Fergus, P, Hussain, A and Al-Jumeily, D Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. In: 2018 International Conference on Intelligent Computing (ICIC), 15th - 18th August 2018, Wuhan, China.. (Accepted)

Alshabandar, R, Hussain, A, Keight, R, Laws, A and Baker, T The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses. In: IEEE Congress on Evolutionary Computation, 08 July 2018 - 13 July 2018, Brazil. (Accepted)

Hussain, A, Abdulaimma, B, Fergus, P, Al-Jumeily, D, Aday Curbelo Montañez, C, Hind, J and Radi, N Association Mapping Approach into Type 2 Diabetes using Biomarkers and Clinical Data. In: International Conference on Intelligent Computing, 07 August 2017 - 10 August 2017, Liverpool, UK. (Accepted)

Khalaf, M, Hussain, A, Al-Jumeily, D, Baker, T, Keight, R, Lisboa, P, Alkafri, A and Fergus, P A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. In: IEEE Congress on Evolutionary Computation, 08 July 2018 - 13 July 2018, Brazil. (Accepted)

Curbelo Montañez, CA, Fergus, P, Hussain, A and Al-Jumeily, D Evaluation of Phenotype Classification Methods for Obesity using Direct to Consumer Genetic Data. In: Lecture Notes in Computer Science . (2017 International Conference on Intelligent Computing, 07 August 2017 - 10 August 2017, Liverpool, UK). (Accepted)

Abdulaimma, B, Hussain, A, Fergus, P, Al-Jumeily, D, Lisboa, P, Huang, D-S and Radi, N Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors. In: 2018 IEEE Congress on Evolutionary Computation (IEEE CEC 2018), 08 July 2018 - 13 April 2018, Brazil. (Accepted)

Al-kafri, A, Sudirman, S, Hussain, A, Al-Jumeily, D, Al-Jumaily, M, Al-Rashdan, W, Bashtawi, M and Fergus, P Lumbar Spine Discs Labeling using Axial View MRI Based on the Pixels Coordinate and Gray Level Features. In: Lecture Notes in Computer Science . (2017 International Conference on Intelligent Computing, 07 August 2017 - 10 August 2017, Liverpool, UK). (Accepted)

Khan, S, Khan, W and Hussain, A Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis). In: ICIC, 2020 International Conference on Intelligent Computing, 02 October 2020 - 05 October 2020, Italy. (Accepted)

Nnamoko, NA, Hussain, A and England, D Predicting Diabetes Onset: an Ensemble Supervised Learning Approach. In: IEEE Congress on Evolutionary Computation, 08 July 2018 - 13 July 2018, Brazil. (Accepted)

This list was generated on Fri Aug 12 09:58:02 2022 UTC.