DiSUS: Mobile Ad Hoc Network Unstructured Services. - Paul Fergus; Anirach Mingkhwan; Madjid Merabti; Martin Hanneghan (PWC, 2003)

Implicit functionality: dynamic services composition for home networked appliances. - Anirach Mingkhwan; Paul Fergus; Omar Abuelma'atti; Madjid Merabti (ICC, 2004)

A semantic framework for self-adaptive networked appliances. - Paul Fergus; Madjid Merabti; Martin Hanneghan; A. Taleb-Bendiab; Anirach Mingkhwan (CCNC, 2005)

A framework for self-adaptive networked appliances. - Paul Fergus (2005)

Dynamic service composition in home appliance networks. - Anirach Mingkhwan; Paul Fergus; Omar Abuelma'atti; Madjid Merabti; Bob Askwith; Martin Hanneghan (Multim. Tools Appl., 2006)

Bridging the Gap between Networked Appliances and Virtual Worlds. - Paul Fergus; David Llewellyn-Jones; Madjid Merabti; Abdennour El Rhalibi (AINA Workshops (1), 2007)

Networked Appliances for Home Healthcare and Lifestyle Management. - Paul Fergus; David Llewellyn-Jones; Madjid Merabti; Arshad Haroon (IHN, 2007)

Ad Hoc Gateway Service for Automatic Package Delivery using Networked Appliances. - Arshad Muhammad 001; Madjid Merabti; Bob Askwith; Paul Fergus (WCNC, 2007)

Networked Appliances: Manipulation of 3D Multimedia Streams. - Paul Fergus; David Llewellyn-Jones; Amjad Shaheed; Madjid Merabti; Abdennour El Rhalibi (CCNC, 2008)

Perceptual User Interface as Games Controller. - Abdennour El Rhalibi; Madjid Merabti; Paul Fergus; Yuanyuan Shen (CCNC, 2008)

Virtual Environments with Content Sharing. - Madjid Merabti; Abdennour El Rhalibi; Amjad Shaheed; Paul Fergus; Marc Price (Edutainment, 2008)

Managing Distributed Networked Appliances in Home Networks. - Madjid Merabti; Paul Fergus; Omar Abuelma'atti; Hong Heather Yu; Charlie Judice (Proc. IEEE, 2008)

A Hierarchically Structured Worldwide Sensor Web Architecture. - Ian Rhead; Madjid Merabti; Hala M. Mokhtar; Paul Fergus (AINA Workshops, 2009)

Whole body interaction. - David England; Eva Hornecker; Chris Roast; Pablo Romero; Paul Fergus; Paul Marshall (CHI Extended Abstracts, 2009)

Towards an Advanced Framework for Whole Body Interaction. - David England; Martin Randles; Paul Fergus; A. Taleb-Bendiab (HCI (13), 2009)

Remote physiotherapy treatments using wireless body sensor networks. - Paul Fergus; K. Kafiyat; Madjid Merabti; A. Taleb-Bendiab; Abdennour El Rhalibi (IWCMC, 2009)

A framework for physical health improvement using Wireless Sensor Networks and gaming. - Paul Fergus; Kashif Kifayat; Simon Cooper; Madjid Merabti; Abdennour El Rhalibi (PervasiveHealth, 2009)

Body Area Networks for Movement Analysis in Physiotherapy Treatments. - Kashif Kifayat; Paul Fergus; Simon Cooper; Madjid Merabti (AINA Workshops, 2010)

Peer-to-Peer Overlay Gateway Services for Home Automation and Management. - Arshad Muhammad 001; Paul Fergus; Madjid Merabti; Bob Askwith (AINA Workshops, 2010)

A Wireless Home and Body Sensor Network Platform for the Early Detection of Arthritis. - Arshad Haroon; Paul Fergus; Amjad Shaheed; Madjid Merabti (CCNC, 2010)

Visualisation of Ubiquitous Home Devices and Services. - Amjad Shaheed; Paul Fergus; Omar Abuelma'atti; Madjid Merabti (CCNC, 2010)

Forensic investigation of peer-to-peer networks. - Mark John Taylor; John Haggerty; David Gresty; Paul Fergus (Netw. Secur., 2010)

SCCIR: Smart Cities Critical Infrastructure Response Framework. - Andrew Attwood; Madjid Merabti; Paul Fergus; Omar Abuelma'atti (DeSE, 2011)

Expanding Tele-care: Using Motion Sensors for Monitoring Purposes. - Paul Fergus; Mark Taylor 005; Madjid Merabti; John Haggerty; L. Bracegirdle (DeSE, 2011)

E-Health: The Potential of Linked Data and Stream Reasoning for Personalised Healthcare. - Shamaila Iram; Dhiya Al-Jumeily; Paul Fergus; Martin Randles; Michael Davies (DeSE, 2011)

Towards a Whole Body Sensing Platform for Healthcare Applications. - Paul Fergus; John Haggerty; Mark John Taylor; L. Bracegirdle (Whole Body Interaction, 2011)

Monitoring and measuring sedentary behaviour with the aid of human digital memories. - Chelsea Dobbins; Paul Fergus; Madjid Merabti; David Llewellyn-Jones (CCNC, 2012)

Operational Support for Critical Infrastructure Security. - William Hurst; Madjid Merabti; Paul Fergus (HPCC-ICESS, 2012)

Remotely monitoring and preventing the development of pressure ulcers with the aid of human digital memories. - Chelsea Dobbins; Paul Fergus; Madjid Merabti; David Llewellyn-Jones (ICC, 2012)

Creating intelligent environments to monitor and manipulate physical activity and sedentary behavior in public health and clinical settings. - Gareth Stratton; Rebecca Murphy; Michael Rosenberg; Paul Fergus; Andrew Attwood (ICC, 2012)

Augmenting human digital memories with physiological data. - Chelsea Dobbins; Madjid Merabti; Paul Fergus; David Llewellyn-Jones (NESEA, 2012)

Managing critical infrastructures through behavioural observation. - William Hurst; Madjid Merabti; Paul Fergus (NESEA, 2012)

Capturing and sharing human digital memories with the aid of ubiquitous Peer-to-Peer mobile services. - Chelsea Dobbins; Madjid Merabti; Paul Fergus; David Llewellyn-Jones (PerCom Workshops, 2012)

A Machine Learning Algorithm for Searching Vectorised RDF Data. - Asaad Sabah Hadi; Paul Fergus; Chelsea Dobbins; Abbas Muhsin Al-Bakry (AINA Workshops, 2013)

M2M Rendezvous Redundancy for the Internet of Things. - Andrew Attwood; Omar Abuelma'atti; Paul Fergus (DeSE, 2013)

A Mobile Multimedia Application Inspired by a Spaced Repetition Algorithm for Assistance with Speech and Language Therapy. - David Folksman; Paul Fergus; Dhiya Al-Jumeily; Chris Carter 001 (DeSE, 2013)

Behavioural Observation for Critical Infrastructure Security Support. - William Hurst; Madjid Merabti; Paul Fergus (EMS, 2013)

Creating human digital memories for a richer recall of life experiences. - Chelsea Dobbins; Madjid Merabti; Paul Fergus; David Llewellyn-Jones (ICNSC, 2013)

Exploiting linked data to create rich human digital memories. - Chelsea Dobbins; Madjid Merabti; Paul Fergus; David Llewellyn-Jones; Faycal Bouhafs (Comput. Commun., 2013)

The Big Data Obstacle of Lifelogging. - Chelsea Dobbins; Madjid Merabti; Paul Fergus; David Llewellyn-Jones (AINA Workshops, 2014)

Big Data Analysis Techniques for Cyber-threat Detection in Critical Infrastructures. - William Hurst; Madjid Merabti; Paul Fergus (AINA Workshops, 2014)

Advance Artificial Neural Network Classification Techniques Using EHG for Detecting Preterm Births. - Ibrahim Olatunji Idowu; Paul Fergus; Abir Jaafar Hussain; Chelsea Dobbins; Haya Al-Askar (CISIS, 2014)

Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets Using Multiple Classifiers. - Shamaila Iram; Dhiya Al-Jumeily; Paul Fergus; Abir Jaafar Hussain (CISIS, 2014)

Early Detection Method of Alzheimer's Disease Using EEG Signals. - Dhiya Al-Jumeily; Shamaila Iram; Abir Jaafar Hussain; François-Benoît Vialatte; Paul Fergus (ICIC (3), 2014)

Feature Analysis of Uterine Electrohystography Signal Using Dynamic Self-organised Multilayer Network Inspired by the Immune Algorithm. - Haya Alaskar; Abir Jaafar Hussain; Paul Hussain Fergus; Dhiya Al-Jumeily; Hissam Tawfik; Hani Hamdan (ICIC (1), 2014)

An Advanced Machine Learning Approach to Generalised Epileptic Seizure Detection. - Paul Fergus; David Hignett; Abir Jaafar Hussain; Dhiya Al-Jumeily (ICIC (3), 2014)

Evaluation of Advanced Artificial Neural Network Classification and Feature Extraction Techniques for Detecting Preterm Births Using EHG Records. - Paul Fergus; Ibrahim Olatunji Idowu; Abir Jaafar Hussain; Chelsea Dobbins; Haya Al-Askar (ICIC (3), 2014)

A Survey of Critical Infrastructure Security. - William Hurst; Madjid Merabti; Paul Fergus (Critical Infrastructure Protection, 2014)

Block Matching Algorithms for Motion Estimation - A Comparison Study. - Abir Jaafar Hussain; Liam Knight; Dhiya Al-Jumeily; Paul Fergus; Hani Hamdan (SIRS, 2014)

Behaviour analysis techniques for supporting critical infrastructure security. - William Hurst; Madjid Merabti; Paul Fergus (Int. J. Crit. Infrastructures, 2014)

Protecting critical infrastructures through behavioural observation. - William Hurst; Madjid Merabti; Shamaila Iram; Paul Fergus (Int. J. Crit. Infrastructures, 2014)

Creating human digital memories with the aid of pervasive mobile devices. - Chelsea Dobbins; Madjid Merabti; Paul Fergus; David Llewellyn-Jones (Pervasive Mob. Comput., 2014)

SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments. - 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 (CIT/IUCC/DASC/PICom, 2015)

Smart Health Monitoring Using the Advance Metering Infrastructure. - Carl Chalmers; William Hurst; Michael Mackay 001; Paul Fergus (CIT/IUCC/DASC/PICom, 2015)

Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care. - Ibrahim Olatunji Idowu; Paul Fergus; Abir Jaafar Hussain; Chelsea Dobbins; Mohammed Khalaf 001; Raúl V. Casaña Eslava; Robert Keight (CIT/IUCC/DASC/PICom, 2015)

Robust Approach for Medical Data Classification and Deploying Self-Care Management System for Sickle Cell Disease. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Russell Keenan; Paul Fergus; Ibrahim Olatunji Idowu (CIT/IUCC/DASC/PICom, 2015)

Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Russell Keenan; Robert Keight; Paul Fergus; Ibrahim Olatunji Idowu (DeSE, 2015)

An Investigation into Gender Disparities in the Field of Computing. - Abir Jaafar Hussain; Laura Connell; Hulya Francis; Dhiya Al-Jumeily; Paul Fergus; Naeem Radi (DeSE, 2015)

Teaching Primary School Children the Concept of Computer Programming. - Abir Jaafar Hussain; Paul Fergus; Dhiya Al-Jumeily; Anthony Pich; Jade Hind (DeSE, 2015)

The Impact of Social Media and Its Utilisation by Pharmaceutical Companies. - Ursula Lennon; Abir Jaafar Hussain; Hulya Francis; Dhiya Al-Jumeily; Paul Fergus; Mohammed Khalaf 001; Naeem Radi (DeSE, 2015)

Self-organized Neural Network Inspired by the Immune Algorithm for the Prediction of Speech Signals. - Dhiya Al-Jumeily; Abir Jaafar Hussain; Paul Fergus; Naeem Radi (ICIC (2), 2015)

A Systematic Comparison and Evaluation of Supervised Machine Learning Classifiers Using Headache Dataset. - Ahmed J. Aljaaf; Dhiya Al-Jumeily; Abir Jaafar Hussain; Paul Fergus; Mohammed Al-Jumaily; Naeem Radi (ICIC (3), 2015)

A Position Paper on Predicting the Onset of Nocturnal Enuresis Using Advanced Machine Learning. - Paul Fergus; Abir Jaafar Hussain; Dhiya Al-Jumeily; Naeem Radi (ICIC (2), 2015)

A Machine Learning Approach to Measure and Monitor Physical Activity in Children to Help Fight Overweight and Obesity. - Paul Fergus; Abir Jaafar Hussain; John Hearty; Stuart Fairclough; Lynne Boddy; Kelly A. Mackintosh; Gareth Stratton; Nicola D. Ridgers; Naeem Radi (ICIC (2), 2015)

The Utilisation of Dynamic Neural Networks for Medical Data Classifications- Survey with Case Study. - Abir Jaafar Hussain; Paul Fergus; Dhiya Al-Jumeily; Haya Alaskar; Naeem Radi (ICIC (3), 2015)

A Framework to Support Ubiquitous Healthcare Monitoring and Diagnostic for Sickle Cell Disease. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Paul Fergus; Russell Keenan; Naeem Radi (ICIC (2), 2015)

Smart meter profiling for health applications. - Carl Chalmers; William Hurst; Michael Mackay 001; Paul Fergus (IJCNN, 2015)

Knowledge extraction using probabilistic reasoning: An artificial neural network approach. - Chelsea Dobbins; Paul Fergus (IJCNN, 2015)

Applied machine learning classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets. - Ahmed J. Aljaaf; Dhiya Al-Jumeily; Abir Jaafar Hussain; Paul Fergus; Mohammed Al-Jumaily; Naeem Radi (IWSSIP, 2015)

The utilisation of social media for bridging the gap between patients and pharmaceutical companies. - Abir Jaafar Hussain; Dhiya Al-Jumeily; Paul Fergus; Ursula Lennon; Mohammed Khalaf 001; Naeem Radi (IWSSIP, 2015)

Advance flood detection and notification system based on sensor technology and machine learning algorithm. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Paul Fergus; Ibrahim Olatunji Idowu (IWSSIP, 2015)

Predicting financial time series data using artificial immune system-inspired neural networks. - Haya Alaskar; David J. Lamb; Abir Jaafar Hussain; Dhiya Al-Jumeily; Martin Randles; Paul Fergus (Int. J. Artif. Intell. Soft Comput., 2015)

A classifier fusion strategy to improve the early detection of neurodegenerative diseases. - Shamaila Iram; Paul Fergus; Dhiya Al-Jumeily; Abir Jaafar Hussain; Martin Randles (Int. J. Artif. Intell. Soft Comput., 2015)

Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women. - Abir Jaafar Hussain; Paul Fergus; Haya Al-Askar; Dhiya Al-Jumeily; Franc Jager (Neurocomputing, 2015)

Using adaptive neural networks to provide self-healing autonomic software. - Dhiya Al-Jumeily; Abir Jaafar Hussain; Paul Fergus (Int. J. Space Based Situated Comput., 2015)

Critical infrastructure automated immuno-response system (CIAIRS). - Sahar Badri; Paul Fergus; William Hurst (CoDIT, 2016)

Statistical Analysis Methods for Interdependency Communication in Distributed Systems. - Sahar Badri; Paul Fergus; William Hurst (DeSE, 2016)

The Effects of Premature Birth on Children Education. - Wafaa Mahdi Salih; Abir Jaafar Hussain; Mohammed Khalaf 001; Janet Lunn; Dhiya Al-Jumeily; Paul Fergus; Timothy Ealeifo; Hanaa Mahdi Salih (DeSE, 2016)

A Support Network for Distributed Systems. - Sahar Badri; Paul Fergus; William Hurst (Edutainment, 2016)

Partially Synthesised Dataset to Improve Prediction Accuracy. - Ahmed J. Aljaaf; Dhiya Al-Jumeily; Abir Jaafar Hussain; Paul Fergus; Mohammed Al-Jumaily; Hani Hamdan (ICIC (1), 2016)

A Smart Health Monitoring Technology. - Carl Chalmers; William Hurst; Michael Mackay 001; Paul Fergus (ICIC (1), 2016)

A Framework on a Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain Using Artificial Intelligence and Computer Graphics Technologies. - Ala S. Al Kafri; Sud Sudirman; Abir Jaafar Hussain; Paul Fergus; Dhiya Al-Jumeily; Mohammed Al-Jumaily; Haya Al-Askar (ICIC (1), 2016)

Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Robert Keight; Russell Keenan; Paul Fergus; Haya Al-Askar; Andy Shaw; Ibrahim Olatunji Idowu (ICIC (1), 2016)

A Dynamic, Modular Intelligent-Agent Framework for Astronomical Light Curve Analysis and Classification. - Paul R. McWhirter; Sean Wright; Iain A. Steele; Dhiya Al-Jumeily; Abir Jaafar Hussain; Paul Fergus (ICIC (1), 2016)

A Genetic Analytics Approach for Risk Variant Identification to Support Intervention Strategies for People Susceptible to Polygenic Obesity and Overweight. - C. Aday Curbelo Montañez; Paul Fergus; Abir Jaafar Hussain; Dhiya Al-Jumeily; B. Abdulaimma; Haya Al-Askar (ICIC (1), 2016)

Evaluation of machine learning methods to predict knee loading from the movement of body segments. - Ahmed J. Aljaaf; Abir Jaafar Hussain; Paul Fergus; Andrzej Przybyla; Gabor J. Barton (IJCNN, 2016)

Advanced artificial neural network classification for detecting preterm births using EHG records. - Paul Fergus; Ibrahim Olatunji Idowu; Abir Jaafar Hussain; Chelsea Dobbins (Neurocomputing, 2016)

Detecting the Disc Herniation in Segmented Lumbar Spine MR Image Using Centroid Distance Function. - Ala S. Al Kafri; Sud Sudirman; Abir Jaafar Hussain; Paul Fergus; Dhiya Al-Jumeily; Hiba Al Smadi; Mohammed Khalaf 001; Mohammed Al-Jumaily; Wasfi Al-Rashdan; Mohammad Bashtawi (DeSE, 2017)

Recurrent Neural Network Architectures for Analysing Biomedical Data Sets. - Mohammed Khalaf 001; Abir Jaafar Hussain; Robert Keight; Dhiya Al-Jumeily; Russell Keenan; Carl Chalmers; Paul Fergus; Wafaa Salih; Dhafar Hamed Abd; Ibrahim Olatunji Idowu (DeSE, 2017)

Association Mapping Approach into Type 2 Diabetes Using Biomarkers and Clinical Data. - Basma Abdulaimma; Abir Hussain; Paul Fergus; Dhiya Al-Jumeily; Casimiro Aday Curbelo Montañez; Jade Hind (ICIC (2), 2017)

Lumbar Spine Discs Labeling Using Axial View MRI Based on the Pixels Coordinate and Gray Level Features. - Ala S. Al Kafri; Sud Sudirman; Abir Jaafar Hussain; Paul Fergus; Dhiya Al-Jumeily; Hiba Al Smadi; Mohammed Khalaf 001; Mohammed Al-Jumaily; Wasfi Al-Rashdan; Mohammad Bashtawi; Jamila Mustafina (ICIC (3), 2017)

A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Robert Keight; Russell Keenan; Ala S. Al Kafri; Carl Chalmers; Paul Fergus; Ibrahim Olatunji Idowu (ICIC (2), 2017)

Evaluation of Phenotype Classification Methods for Obesity Using Direct to Consumer Genetic Data. - Casimiro Aday Curbelo Montañez; Paul Fergus; Abir Hussain; Dhiya Al-Jumeily; Mehmet Tevfik Dorak; Rosni Abdullah (ICIC (2), 2017)

Machine learning approaches for the prediction of obesity using publicly available genetic profiles. - Casimiro Aday Curbelo Montañez; Paul Fergus; Abir Hussain; Dhiya Al-Jumeily; Basma Abdulaimma; Jade Hind; Naeem Radi (IJCNN, 2017)

A machine learning approach to measure and monitor physical activity in children. - Paul Fergus; Abir Jaafar Hussain; John Hearty; Stuart Fairclough; Lynne Boddy; Kelly A. Mackintosh; Gareth Stratton; Nicola D. Ridgers; Dhiya Al-Jumeily; Ahmed J. Aljaaf; Janet Lunn (Neurocomputing, 2017)

Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models. - Mohammed Khalaf 001; Abir Jaafar Hussain; Robert Keight; Dhiya Al-Jumeily; Paul Fergus; Russell Keenan; Posco Tso (Neurocomputing, 2017)

Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors. - Basma Abdulaimma; Abir Hussain; Paul Fergus; Dhiya Al-Jumeily; Paulo Lisboa; De-Shuang Huang; Naeem Radi (CEC, 2018)

Segmentation of Lumbar Spine MRI Images for Stenosis Detection Using Patch-Based Pixel Classification Neural Network. - 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 (CEC, 2018)

A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. - Mohammed Khalaf 001; Abir Jaafar Hussain; Dhiya Al-Jumeily; Thar Baker; Robert Keight; Paulo Lisboa; Paul Fergus; Ala S. Al Kafri (CEC, 2018)

Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. - Casimiro Aday Curbelo Montañez; Paul Fergus; Carl Chalmers; Jade Hind (CIBB, 2018)

Requirements of an Underwater Sensor-Networking Platform for Environmental Monitoring. - Samuel P. Ryecroft; Andy Shaw; Paul Fergus; Patryk Kot; Magomed Muradov; Adam Moody; Laura Conroy (DeSE, 2018)

Machine Learning Techniques for Classification of Livestock Behavior. - Natasa Kleanthous; Abir Hussain; Alex Mason; Jennifer Sneddon; Andy Shaw; Paul Fergus; Carl Chalmers; Dhiya Al-Jumeily (ICONIP (4), 2018)

Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. - Casimiro Aday Curbelo Montañez; Paul Fergus; Almudena Curbelo Montañez; Abir Hussain; Dhiya Al-Jumeily; Carl Chalmers (IJCNN, 2018)

Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces. - Paul Fergus; Malarvizhi Selvaraj; Carl Chalmers (Comput. Biol. Medicine, 2018)

Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. - Paul Fergus; Casimiro Aday Curbelo Montañez; Basma Abdulaimma; Paulo Lisboa; Carl Chalmers (CoRR, 2018)

Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. - Casimiro Aday Curbelo Montañez; Paul Fergus; Abir Hussain; Dhiya Al-Jumeily (CoRR, 2018)

Collaborative Pressure Ulcer Prevention: An Automated Skin Damage and Pressure Ulcer Assessment Tool for Nursing Professionals, Patients, Family Members and Carers. - Paul Fergus; Carl Chalmers; David Tully (CoRR, 2018)

Extracting Epistatic Interactions in Type 2 Diabetes Genome-Wide Data Using Stacked Autoencoder. - Basma Abdulaimma; Paul Fergus; Carl Chalmers (CoRR, 2018)

A Novel Gesomin Detection Method Based on Microwave Spectroscopy. - Samuel Peter Ryecroft; Andy Shaw; Paul Fergus; Patryk Kot; Khalid Hashim; Laura Conway; Adam Moody (DeSE, 2019)

Identifying behavioural changes for health monitoring applications using the advanced metering infrastructure. - Carl Chalmers; William Hurst; Michael Mackay 001; Paul Fergus (Behav. Inf. Technol., 2019)

Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology. - Carl Chalmers; Paul Fergus; Serge A. Wich; C. Aday Curbelo Montañez (CoRR, 2019)

A First Implementation of Underwater Communications in Raw Water Using the 433 MHz Frequency Combined with a Bowtie Antenna. - Samuel Ryecroft; Andrew Shaw; Paul Fergus; Patryk Kot; Khalid Hashim; Adam Moody; Laura Conway (Sensors, 2019)

Deep Learning and Genome-Wide Association Studies for the Classification of Type 2 Diabetes. - Basma Abdulaimma; Paul Fergus; Carl Chalmers; Casimiro Aday Curbelo Montañez (IJCNN, 2020)

Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network. - Steven Thompson; Paul Fergus; Carl Chalmers; Denis Reilly 001 (IJCNN, 2020)

SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. - Casimiro Aday Curbelo Montañez; Paul Fergus; Carl Chalmers; Nurul Hashimah Ahamed Hassain Malim; Basma Abdulaimma; Denis Reilly 001; Francesco Falciani (IEEE Access, 2020)

BMI: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters. - Paul Fergus; Carl Chalmers (CoRR, 2020)

Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. - Paul Fergus; Casimiro Aday Curbelo Montañez; Basma Abdulaimma; Paulo Lisboa; Carl Chalmers; Beth Pineles (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning. - Carl Chalmers; Paul Fergus; Serge A. Wich; S. N. Longmore (IJCNN, 2021)

Misper-Bayes: A Bayesian Network Model for Missing Person Investigations. - Denis Reilly 001; Mark Taylor 005; Paul Fergus; Carl Chalmers; Steven Thompson (IEEE Access, 2021)

Real-Time Predictive Maintenance using Autoencoder Reconstruction and Anomaly Detection. - Sean Givnan; Carl Chalmers; Paul Fergus; Sandra Ortega; Tom Whalley (CoRR, 2021)

An Evaluation of the Factors Affecting 'Poacher' Detection with Drones and the Efficacy of Machine-Learning for Detection. - Katie E. Doull; Carl Chalmers; Paul Fergus; Steve Longmore; Alex K. Piel; Serge A. Wich (Sensors, 2021)

Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. - Paul Fergus; Carl Chalmers; Casimiro Aday Curbelo Montañez; Denis Reilly 001; Paulo Lisboa; Beth Pineles (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Applied Deep Learning - Tools, Techniques, and Implementation - Paul Fergus; Carl Chalmers (Springer, 2022)

The Categorical Data Conundrum: Heuristics for Classification Problems - A Case Study on Domestic Fire Injuries. - Denis Reilly 001; Mark Taylor 005; Paul Fergus; Carl Chalmers; Steven Thompson (IEEE Access, 2022)

Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence. - Juliana Vélez; Paula J. Castiblanco-Camacho; Michael A. Tabak; Carl Chalmers; Paul Fergus; John Fieberg (CoRR, 2022)

Pressure Ulcer Categorisation using Deep Learning: A Clinical Trial to Evaluate Model Performance. - Paul Fergus; Carl Chalmers; William Henderson; Danny Roberts; Atif Waraich (CoRR, 2022)

Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors. - Sean Givnan; Carl Chalmers; Paul Fergus; Sandra Ortega-Martorell; Tom Whalley (Sensors, 2022)

Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning. - Sally O. A. Westworth; Carl Chalmers; Paul Fergus; Steven N. Longmore; Alex K. Piel; Serge A. Wich (Sensors, 2022)

Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation. - Carl Chalmers; Paul Fergus; C. Aday Curbelo Montañez; Sudip Sikdar; Freya Ball; Bryony Kendall (IEEE Trans. Emerg. Top. Comput., 2022)

Pressure Ulcer Categorization and Reporting in Domiciliary Settings Using Deep Learning and Mobile Devices: A Clinical Trial to Evaluate End-to-End Performance. - Paul Fergus; Carl Chalmers; William Henderson; Danny Roberts; Atif Waraich (IEEE Access, 2023)

Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning. - Carl Chalmers; Paul Fergus; Serge A. Wich; Steven N. Longmore; Naomi Davies Walsh; Philip Stephens; Chris Sutherland; Naomi Matthews; Jens Mudde; Amira Nuseibeh (Remote. Sens., 2023)

Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep Learning and 3/4G Camera Traps. - Paul Fergus; Carl Chalmers; Steven N. Longmore; Serge A. Wich; Carmen Warmenhove; Jonathan Swart; Thuto Ngongwane; André Burger; Jonathan Ledgard; Erik Meijaard (Remote. Sens., 2023)

Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural Network. - Steven Thompson; Denis Reilly 001; Paul Fergus; Carl Chalmers (IEEE Access, 2024)

Harnessing Artificial Intelligence for Wildlife Conservation. - Paul Fergus; Carl Chalmers; Steve Longmore; Serge A. Wich (CoRR, 2024)

Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data. - Paul Fergus; Carl Chalmers; Naomi Matthews; Stuart Nixon; André Burger; Oliver Hartley; Chris Sutherland; Xavier Lambin; Steven N. Longmore; Serge A. Wich (CoRR, 2024)

AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv10. - Carl Chalmers; Paul Fergus; Serge A. Wich; Steven N. Longmore; Naomi Davies Walsh; Lee Oliver; James Warrington; Julieanne Quinlan; Katie Appleby (CoRR, 2024)