Paul Fergus

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 65

Top Venues

Liverpool John Moores University, UK (PHD)

Education History

Liverpool John Moores University, UK

PHD

Publications

Steven Thompson, Denis Reilly, Paul Fergus, Carl Chalmers
Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural Network. IEEE Access 12 (2024)
Paul Fergus, Carl Chalmers, Steven N. Longmore, Serge A. Wich, Carmen Warmenhove, Jonathan Swart, Thuto Ngongwane, André Burger, Jonathan Ledgard, Erik Meijaard
Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation using Deep Learning and 3/4G Camera Traps. CoRR (2023)
Paul Fergus, Carl Chalmers, William Henderson, Danny Roberts, Atif Waraich
Pressure Ulcer Categorization and Reporting in Domiciliary Settings Using Deep Learning and Mobile Devices: A Clinical Trial to Evaluate End-to-End Performance. IEEE Access 11 (2023)
Paul Fergus, Carl Chalmers, Steven N. Longmore, Serge A. Wich, Carmen Warmenhove, Jonathan Swart, Thuto Ngongwane, André Burger, Jonathan Ledgard, Erik Meijaard
Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep Learning and 3/4G Camera Traps. Remote. Sens. 15 (11) (2023)
Carl Chalmers, Paul Fergus, Serge A. Wich, Steven N. Longmore, Naomi Davies Walsh, Philip Stephens, Chris Sutherland, Naomi Matthews, Jens Mudde, Amira Nuseibeh
Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning. Remote. Sens. 15 (10) (2023)
Carl Chalmers, Paul Fergus, Serge A. Wich, Steven N. Longmore, Naomi Davies Walsh, Philip Stephens, Chris Sutherland, Naomi Matthews, Jens Mudde, Amira Nuseibeh
Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning. CoRR (2023)
Sean Givnan, Carl Chalmers, Paul Fergus, Sandra Ortega-Martorell, Tom Whalley
Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors. Sensors 22 (9) (2022)
Juliana Vélez, Paula J. Castiblanco-Camacho, Michael A. Tabak, Carl Chalmers, Paul Fergus, John Fieberg
Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence. CoRR (2022)
Sally O. A. Westworth, Carl Chalmers, Paul Fergus, Steven N. Longmore, Alex K. Piel, Serge A. Wich
Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning. Sensors 22 (14) (2022)
Carl Chalmers, Paul Fergus, C. Aday Curbelo Montañez, Sudip Sikdar, Freya Ball, Bryony Kendall
Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation. IEEE Trans. Emerg. Top. Comput. 10 (1) (2022)
Paul Fergus, Carl Chalmers, William Henderson, Danny Roberts, Atif Waraich
Pressure Ulcer Categorisation using Deep Learning: A Clinical Trial to Evaluate Model Performance. CoRR (2022)
Denis Reilly, Mark Taylor, Paul Fergus, Carl Chalmers, Steven Thompson
The Categorical Data Conundrum: Heuristics for Classification Problems - A Case Study on Domestic Fire Injuries. IEEE Access 10 (2022)
Carl Chalmers, Paul Fergus, Serge A. Wich, S. N. Longmore
Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning. CoRR (2021)
Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez, Denis Reilly, Paulo Lisboa, Beth Pineles
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. IEEE Trans. Emerg. Top. Comput. Intell. 5 (6) (2021)
Carl Chalmers, Paul Fergus, Serge A. Wich, S. N. Longmore
Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning. IJCNN (2021)
Sean Givnan, Carl Chalmers, Paul Fergus, Sandra Ortega, Tom Whalley
Real-Time Predictive Maintenance using Autoencoder Reconstruction and Anomaly Detection. CoRR (2021)
Katie E. Doull, Carl Chalmers, Paul Fergus, Steve Longmore, Alex K. Piel, Serge A. Wich
An Evaluation of the Factors Affecting 'Poacher' Detection with Drones and the Efficacy of Machine-Learning for Detection. Sensors 21 (12) (2021)
Denis Reilly, Mark Taylor, Paul Fergus, Carl Chalmers, Steven Thompson
Misper-Bayes: A Bayesian Network Model for Missing Person Investigations. IEEE Access 9 (2021)
Paul Fergus, Carl Chalmers
BMI: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters. CoRR (2020)
Basma Abdulaimma, Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez
Deep Learning and Genome-Wide Association Studies for the Classification of Type 2 Diabetes. IJCNN (2020)
Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers, Nurul Hashimah Ahamed Hassain Malim, Basma Abdulaimma, Denis Reilly, Francesco Falciani
SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. IEEE Access 8 (2020)
Paul Fergus, Casimiro Aday Curbelo Montañez, Basma Abdulaimma, Paulo Lisboa, Carl Chalmers, Beth Pineles
Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Steven Thompson, Paul Fergus, Carl Chalmers, Denis Reilly
Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network. CoRR (2020)
Steven Thompson, Paul Fergus, Carl Chalmers, Denis Reilly
Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network. IJCNN (2020)
Carl Chalmers, Paul Fergus, Serge A. Wich, C. Aday Curbelo Montañez
Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology. CoRR (2019)
Carl Chalmers, Paul Fergus, Casimiro Aday Curbelo Montañez, Sudip Sikdar, Freya Ball, Bryony Kendall
Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation. CoRR (2019)
Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers, Nurul Hashimah Ahamed Hassain Malim, Basma Abdulaimma, Denis Reilly, Francesco Falciani
SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. CoRR (2019)
Samuel Ryecroft, Andrew Shaw, Paul Fergus, Patryk Kot, Khalid Hashim, Adam Moody, Laura Conway
A First Implementation of Underwater Communications in Raw Water Using the 433 MHz Frequency Combined with a Bowtie Antenna. Sensors 19 (8) (2019)
Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez, Denis Reilly, Paulo Lisboa, Beth Pineles
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. CoRR (2019)
Carl Chalmers, William Hurst, Michael Mackay, Paul Fergus
Identifying behavioural changes for health monitoring applications using the advanced metering infrastructure. Behav. Inf. Technol. 38 (11) (2019)
Samuel Peter Ryecroft, Andy Shaw, Paul Fergus, Patryk Kot, Khalid Hashim, Laura Conway, Adam Moody
A Novel Gesomin Detection Method Based on Microwave Spectroscopy. DeSE (2019)
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Thar Baker, Robert Keight, Paulo Lisboa, Paul Fergus, Ala S. Al Kafri
A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. CEC (2018)
Basma Abdulaimma, Paul Fergus, Carl Chalmers
Extracting Epistatic Interactions in Type 2 Diabetes Genome-Wide Data Using Stacked Autoencoder. CoRR (2018)
Paul Fergus, Carl Chalmers, David Tully
Collaborative Pressure Ulcer Prevention: An Automated Skin Damage and Pressure Ulcer Assessment Tool for Nursing Professionals, Patients, Family Members and Carers. CoRR (2018)
Paul Fergus, Casimiro Aday Curbelo Montañez, Basma Abdulaimma, Paulo Lisboa, Carl Chalmers
Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. CoRR (2018)
Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. CoRR (2018)
Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers, Jade Hind
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. CIBB (2018)
Natasa Kleanthous, Abir Hussain, Alex Mason, Jennifer Sneddon, Andy Shaw, Paul Fergus, Carl Chalmers, Dhiya Al-Jumeily
Machine Learning Techniques for Classification of Livestock Behavior. ICONIP (4) (2018)
Casimiro Aday Curbelo Montañez, Paul Fergus, Almudena Curbelo Montañez, Abir Hussain, Dhiya Al-Jumeily, Carl Chalmers
Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. CoRR (2018)
Samuel P. Ryecroft, Andy Shaw, Paul Fergus, Patryk Kot, Magomed Muradov, Adam Moody, Laura Conroy
Requirements of an Underwater Sensor-Networking Platform for Environmental Monitoring. DeSE (2018)
Paul Fergus, Malarvizhi Selvaraj, Carl Chalmers
Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces. Comput. Biol. Medicine 93 (2018)
Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Friska Natalia, Hira Meidia, Nunik Afriliana, Ali Sophian, Mohammed Al-Jumaily, Wasfi Al-Rashdan, Mohammad Bashtawi
Segmentation of Lumbar Spine MRI Images for Stenosis Detection Using Patch-Based Pixel Classification Neural Network. CEC (2018)
Casimiro Aday Curbelo Montañez, Paul Fergus, Almudena Curbelo Montañez, Abir Hussain, Dhiya Al-Jumeily, Carl Chalmers
Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. IJCNN (2018)
Basma Abdulaimma, Abir Hussain, Paul Fergus, Dhiya Al-Jumeily, Paulo Lisboa, De-Shuang Huang, Naeem Radi
Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors. CEC (2018)
Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al-Jumeily, Paul Fergus, Russell Keenan, Posco Tso
Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models. Neurocomputing 228 (2017)
Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Hiba Al Smadi, Mohammed Khalaf, Mohammed Al-Jumaily, Wasfi Al-Rashdan, Mohammad Bashtawi, Jamila Mustafina
Lumbar Spine Discs Labeling Using Axial View MRI Based on the Pixels Coordinate and Gray Level Features. ICIC (3) (2017)
Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily, Mehmet Tevfik Dorak, Rosni Abdullah
Evaluation of Phenotype Classification Methods for Obesity Using Direct to Consumer Genetic Data. ICIC (2) (2017)
Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Hiba Al Smadi, Mohammed Khalaf, Mohammed Al-Jumaily, Wasfi Al-Rashdan, Mohammad Bashtawi
Detecting the Disc Herniation in Segmented Lumbar Spine MR Image Using Centroid Distance Function. DeSE (2017)
Paul Fergus, Abir Jaafar Hussain, John Hearty, Stuart Fairclough, Lynne Boddy, Kelly Mackintosh, Gareth Stratton, Nicola D. Ridgers, Dhiya Al-Jumeily, Ahmed J. Aljaaf, Janet Lunn
A machine learning approach to measure and monitor physical activity in children. Neurocomputing 228 (2017)
Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al-Jumeily, Russell Keenan, Carl Chalmers, Paul Fergus, Wafaa Salih, Dhafar Hamed Abd, Ibrahim Olatunji Idowu
Recurrent Neural Network Architectures for Analysing Biomedical Data Sets. DeSE (2017)
Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Jade Hind, Naeem Radi
Machine learning approaches for the prediction of obesity using publicly available genetic profiles. IJCNN (2017)
Basma Abdulaimma, Abir Hussain, Paul Fergus, Dhiya Al-Jumeily, Casimiro Aday Curbelo Montañez, Jade Hind
Association Mapping Approach into Type 2 Diabetes Using Biomarkers and Clinical Data. ICIC (2) (2017)
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Ala S. Al Kafri, Carl Chalmers, Paul Fergus, Ibrahim Olatunji Idowu
A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets. ICIC (2) (2017)
Sahar Badri, Paul Fergus, William Hurst
A Support Network for Distributed Systems. Edutainment (2016)
Sahar Badri, Paul Fergus, William Hurst
Critical infrastructure automated immuno-response system (CIAIRS). CoDIT (2016)
C. Aday Curbelo Montañez, Paul Fergus, Abir Jaafar Hussain, Dhiya Al-Jumeily, B. Abdulaimma, Haya Al-Askar
A Genetic Analytics Approach for Risk Variant Identification to Support Intervention Strategies for People Susceptible to Polygenic Obesity and Overweight. ICIC (1) (2016)
Paul Fergus, Ibrahim Olatunji Idowu, Abir Jaafar Hussain, Chelsea Dobbins
Advanced artificial neural network classification for detecting preterm births using EHG records. Neurocomputing 188 (2016)
Ahmed J. Aljaaf, Abir Jaafar Hussain, Paul Fergus, Andrzej Przybyla, Gabor J. Barton
Evaluation of machine learning methods to predict knee loading from the movement of body segments. IJCNN (2016)
Paul R. McWhirter, Sean Wright, Iain A. Steele, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus
A Dynamic, Modular Intelligent-Agent Framework for Astronomical Light Curve Analysis and Classification. ICIC (1) (2016)
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Paul Fergus, Haya Al-Askar, Andy Shaw, Ibrahim Olatunji Idowu
Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease. ICIC (1) (2016)
Sahar Badri, Paul Fergus, William Hurst
Statistical Analysis Methods for Interdependency Communication in Distributed Systems. DeSE (2016)
Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Hani Hamdan
Partially Synthesised Dataset to Improve Prediction Accuracy. ICIC (1) (2016)
Carl Chalmers, William Hurst, Michael Mackay, Paul Fergus
A Smart Health Monitoring Technology. ICIC (1) (2016)
Wafaa Mahdi Salih, Abir Jaafar Hussain, Mohammed Khalaf, Janet Lunn, Dhiya Al-Jumeily, Paul Fergus, Timothy Ealeifo, Hanaa Mahdi Salih
The Effects of Premature Birth on Children Education. DeSE (2016)
Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Mohammed Al-Jumaily, Haya Al-Askar
A Framework on a Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain Using Artificial Intelligence and Computer Graphics Technologies. ICIC (1) (2016)
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Ibrahim Olatunji Idowu
Advance flood detection and notification system based on sensor technology and machine learning algorithm. IWSSIP (2015)
Paul Fergus, Abir Jaafar Hussain, Dhiya Al-Jumeily, Naeem Radi
A Position Paper on Predicting the Onset of Nocturnal Enuresis Using Advanced Machine Learning. ICIC (2) (2015)
Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Anthony Pich, Jade Hind
Teaching Primary School Children the Concept of Computer Programming. DeSE (2015)
Ursula Lennon, Abir Jaafar Hussain, Hulya Francis, Dhiya Al-Jumeily, Paul Fergus, Mohammed Khalaf, Naeem Radi
The Impact of Social Media and Its Utilisation by Pharmaceutical Companies. DeSE (2015)
Paul Fergus, Abir Jaafar Hussain, John Hearty, Stuart Fairclough, Lynne Boddy, Kelly Mackintosh, Gareth Stratton, Nicola D. Ridgers, Naeem Radi
A Machine Learning Approach to Measure and Monitor Physical Activity in Children to Help Fight Overweight and Obesity. ICIC (2) (2015)
Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Naeem Radi
Self-organized Neural Network Inspired by the Immune Algorithm for the Prediction of Speech Signals. ICIC (2) (2015)
Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Naeem Radi
A Systematic Comparison and Evaluation of Supervised Machine Learning Classifiers Using Headache Dataset. ICIC (3) (2015)
Haya Alaskar, David J. Lamb, Abir Jaafar Hussain, Dhiya Al-Jumeily, Martin Randles, Paul Fergus
Predicting financial time series data using artificial immune system-inspired neural networks. Int. J. Artif. Intell. Soft Comput. 5 (1) (2015)
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Russell Keenan, Paul Fergus, Ibrahim Olatunji Idowu
Robust Approach for Medical Data Classification and Deploying Self-Care Management System for Sickle Cell Disease. CIT/IUCC/DASC/PICom (2015)
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Russell Keenan, Naeem Radi
A Framework to Support Ubiquitous Healthcare Monitoring and Diagnostic for Sickle Cell Disease. ICIC (2) (2015)
Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus
Using adaptive neural networks to provide self-healing autonomic software. Int. J. Space Based Situated Comput. 5 (3) (2015)
Chelsea Dobbins, Paul Fergus
Knowledge extraction using probabilistic reasoning: An artificial neural network approach. IJCNN (2015)
Ibrahim Olatunji Idowu, Paul Fergus, Abir Jaafar Hussain, Chelsea Dobbins, Mohammed Khalaf, Raúl V. Casaña Eslava, Robert Keight
Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care. CIT/IUCC/DASC/PICom (2015)
Carl Chalmers, William Hurst, Michael Mackay, Paul Fergus
Smart meter profiling for health applications. IJCNN (2015)
Abir Jaafar Hussain, Paul Fergus, Haya Al-Askar, Dhiya Al-Jumeily, Franc Jager
Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women. Neurocomputing 151 (2015)
Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Haya Alaskar, Naeem Radi
The Utilisation of Dynamic Neural Networks for Medical Data Classifications- Survey with Case Study. ICIC (3) (2015)
Julio C. S. dos Anjos, Marcos D. Assuncao, Jean Luca Bez, Cláudio F. R. Geyer, Edison Pignaton de Freitas, Alexandre Carissimi, João Paulo Carvalho Lustosa da Costa, Gilles Fedak, Felix Freitag, Volker Markl, Paul Fergus, Rubem Pereira
SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments. CIT/IUCC/DASC/PICom (2015)
Abir Jaafar Hussain, Laura Connell, Hulya Francis, Dhiya Al-Jumeily, Paul Fergus, Naeem Radi
An Investigation into Gender Disparities in the Field of Computing. DeSE (2015)
Carl Chalmers, William Hurst, Michael Mackay, Paul Fergus
Smart Health Monitoring Using the Advance Metering Infrastructure. CIT/IUCC/DASC/PICom (2015)
Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Russell Keenan, Robert Keight, Paul Fergus, Ibrahim Olatunji Idowu
Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease. DeSE (2015)
Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Naeem Radi
Applied machine learning classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets. IWSSIP (2015)
Shamaila Iram, Paul Fergus, Dhiya Al-Jumeily, Abir Jaafar Hussain, Martin Randles
A classifier fusion strategy to improve the early detection of neurodegenerative diseases. Int. J. Artif. Intell. Soft Comput. 5 (1) (2015)
Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Ursula Lennon, Mohammed Khalaf, Naeem Radi
The utilisation of social media for bridging the gap between patients and pharmaceutical companies. IWSSIP (2015)
Paul Fergus, Ibrahim Olatunji Idowu, Abir Jaafar Hussain, Chelsea Dobbins, Haya Al-Askar
Evaluation of Advanced Artificial Neural Network Classification and Feature Extraction Techniques for Detecting Preterm Births Using EHG Records. ICIC (3) (2014)
Paul Fergus, David Hignett, Abir Jaafar Hussain, Dhiya Al-Jumeily
An Advanced Machine Learning Approach to Generalised Epileptic Seizure Detection. ICIC (3) (2014)
Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones
The Big Data Obstacle of Lifelogging. AINA Workshops (2014)
William Hurst, Madjid Merabti, Paul Fergus
Big Data Analysis Techniques for Cyber-threat Detection in Critical Infrastructures. AINA Workshops (2014)
Abir Jaafar Hussain, Liam Knight, Dhiya Al-Jumeily, Paul Fergus, Hani Hamdan
Block Matching Algorithms for Motion Estimation - A Comparison Study. SIRS (2014)
Ibrahim Olatunji Idowu, Paul Fergus, Abir Jaafar Hussain, Chelsea Dobbins, Haya Al-Askar
Advance Artificial Neural Network Classification Techniques Using EHG for Detecting Preterm Births. CISIS (2014)
William Hurst, Madjid Merabti, Paul Fergus
Behaviour analysis techniques for supporting critical infrastructure security. Int. J. Crit. Infrastructures 10 (3/4) (2014)
William Hurst, Madjid Merabti, Shamaila Iram, Paul Fergus
Protecting critical infrastructures through behavioural observation. Int. J. Crit. Infrastructures 10 (2) (2014)
William Hurst, Madjid Merabti, Paul Fergus
A Survey of Critical Infrastructure Security. Critical Infrastructure Protection (2014)
Shamaila Iram, Dhiya Al-Jumeily, Paul Fergus, Abir Jaafar Hussain
Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets Using Multiple Classifiers. CISIS (2014)
Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones
Creating human digital memories with the aid of pervasive mobile devices. Pervasive Mob. Comput. 12 (2014)
Dhiya Al-Jumeily, Shamaila Iram, Abir Jaafar Hussain, François-Benoît Vialatte, Paul Fergus
Early Detection Method of Alzheimer's Disease Using EEG Signals. ICIC (3) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Paul Fergus