Paul Fergus
Paul Fergus
Professor of Machine Learning at Liverpool John Moores University
Verified email at - Homepage
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
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 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
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
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
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
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
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
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
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
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
Machine learning approaches for the prediction of obesity using publicly available genetic profiles
CAC Montañez, P Fergus, A Hussain, D Al-Jumeily, B Abdulaimma, ...
2017 International Joint Conference on Neural Networks (IJCNN), 2743-2750, 2017
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
Detecting activities of daily living and routine behaviours in dementia patients living alone using smart meter load disaggregation
C Chalmers, P Fergus, CAC Montanez, S Sikdar, F Ball, B Kendall
IEEE Transactions on Emerging Topics in Computing 10 (1), 157-169, 2020
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
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
Artificial intelligence for detecting preterm uterine activity in gynecology and obstetric care
IO Idowu, P Fergus, A Hussain, C Dobbins, M Khalaf, RVC Eslava, ...
2015 IEEE international conference on computer and information technology …, 2015
A data science methodology based on machine learning algorithms for flood severity prediction
M Khalaf, AJ Hussain, D Al-Jumeily, T Baker, R Keight, P Lisboa, ...
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
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
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