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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
1882013
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
1762015
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
1672016
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
982019
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
972016
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
812018
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
782015
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
722017
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
692015
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
632019
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
622008
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
592015
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
582017
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
532018
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
512020
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
512018
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
502015
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
482015
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
462018
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
452017
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