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Paul Fergus
Paul Fergus
Professor of Machine Learning at Liverpool John Moores University
Zweryfikowany adres z ljmu.ac.uk - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
2022013
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
1922015
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
1822016
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
1052019
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
1052016
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
902018
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
902015
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
882017
An evaluation of platforms for processing camera‐trap data using artificial intelligence
J Vélez, W McShea, H Shamon, PJ Castiblanco‐Camacho, MA Tabak, ...
Methods in Ecology and Evolution 14 (2), 459-477, 2023
772023
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
772017
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
762015
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
722020
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
662019
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
642015
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 (1), 931387, 2015
622015
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
Anomaly detection using autoencoder reconstruction upon industrial motors
S Givnan, C Chalmers, P Fergus, S Ortega-Martorell, T Whalley
Sensors 22 (9), 3166, 2022
582022
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
542018
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
512018
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
512017
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