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

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

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

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)

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)

Adaptive health monitoring using aggregated energy readings from smart meters. - Carl Chalmers (2017)

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)

Fog Computing Framework for Internet of Things Applications. - Mohammed Al-Khafajiy; Thar Baker; Hilal Al-Libawy; Atif Waraich; Carl Chalmers; Omar Alfandi (DeSE, 2018)

Robust Interpretation of Genomic Data in Chronic Obstructive Pulmonary Disease (COPD). - Jade Hind; Abir Hussain; Dhiya Al-Jumeily; Casimiro Aday Curbelo Montañez; Carl Chalmers; Paulo Lisboa (DeSE, 2018)

The Development of an Arches Resource Model for Recording Radiocarbon Information. - Hiba Al Smadi; Fiona J. Petcher; Dhiya Al-Jumeily; Abir Jaafar Hussain; Carl Chalmers; Richard P. Jennings (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)

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)

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)

Remote health monitoring of elderly through wearable sensors. - Mohammed Al-Khafajiy; Thar Baker; Carl Chalmers; Muhammad Asim 001; Hoshang Kolivand; Muhammad Fahim; Atif Waraich (Multim. Tools Appl., 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)