Follow
Paul Fergus
Paul Fergus
Professor of Machine Learning at Liverpool John Moores University
Verified email at ljmu.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
1692013
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
1442015
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
1322016
A first implementation of underwater communications in raw water using the 433 MHz frequency combined with a bowtie antenna
S Ryecroft, A Shaw, P Fergus, P Kot, K Hashim, A Moody, L Conway
Sensors 19 (8), 1813, 2019
932019
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
862016
A novel gesomin detection method based on microwave spectroscopy
SP Ryecroft, A Shaw, P Fergus, P Kot, K Hashim, L Conway, A Moody
2019 12th International Conference on Developments in eSystems Engineering†…, 2019
712019
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
642015
Machine learning Ensemble Modelling to classify caesarean section and vaginal delivery types using cardiotocography traces
P Fergus, S Malarvizhi, C Chalmers
Computers in Biology and Medicine 93 (February), 7-16, 2018
622018
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
612015
Managing distributed networked appliances in home networks
M Merabti, P Fergus, O Abuelma'atti, H Yu, C Judice
Proceedings of the IEEE 96 (1), 166-185, 2008
612008
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
542015
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
512017
Body area networks for movement analysis in physiotherapy treatments
K Kifayat, P Fergus, S Cooper, M Merabti
2010 IEEE 24th International Conference on Advanced Information Networking†…, 2010
442010
Deep learning classification of polygenic obesity using genome wide association study SNPs
CAC Montaez, P Fergus, AC Montaez, A Hussain, D Al-Jumeily, ...
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
412018
Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women
P Fergus, A Montanez, B Abdulaimma, P Lisboa, C Chalmers, B Pineles
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018
402018
Machine learning approaches for the prediction of obesity using publicly available genetic profiles
CAC MontaŮez, P Fergus, A Hussain, D Al-Jumeily, B Abdulaimma, ...
2017 International Joint Conference on Neural Networks (IJCNN), 2743-2750, 2017
392017
Toward an optimal use of artificial intelligence techniques within a clinical decision support system
AJ Aljaaf, D Al-Jumeily, AJ Hussain, P Fergus, M Al-Jumaily, K Abdel-Aziz
2015 Science and Information Conference (SAI), 548-554, 2015
382015
Sccir: Smart cities critical infrastructure response framework
A Attwood, M Merabti, P Fergus, O Abuelmaatti
2011 Developments in E-systems Engineering, 460-464, 2011
382011
Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models
M Khalaf, AJ Hussain, R Keight, D Al-Jumeily, P Fergus, R Keenan, P Tso
Neurocomputing 228, 154-164, 2017
372017
Dynamic service composition in home appliance networks
A Mingkhwan, P Fergus, O Abuelma’atti, M Merabti, B Askwith, ...
Multimedia Tools and Applications 29, 257-284, 2006
372006
The system can't perform the operation now. Try again later.
Articles 1–20