Paul Fergus - RankMe

144 papers B 13C 16Misc 2Journal 50Unranked 60

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv10. CoRR Carl Chalmers, Paul Fergus, Serge A. Wich, Steven N. Longmore, Naomi Davies Walsh, Lee Oliver, James Warrington, Julieanne Quinlan, Katie Appleby
2024	J	`jnl`	Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural Network. IEEE Access Steven Thompson, Denis Reilly, Paul Fergus, Carl Chalmers
2024	J	`jnl`	Harnessing Artificial Intelligence for Wildlife Conservation. CoRR Paul Fergus, Carl Chalmers, Steve Longmore, Serge A. Wich
2024	J	`jnl`	Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data. CoRR Paul Fergus, Carl Chalmers, Naomi Matthews, Stuart Nixon, André Burger, Oliver Hartley, Chris Sutherland, Xavier Lambin, Steven N. Longmore, Serge A. Wich
2023	J	`jnl`	Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep Learning and 3/4G Camera Traps. Remote. Sens. Paul Fergus, Carl Chalmers, Steven N. Longmore, Serge A. Wich, Carmen Warmenhove, Jonathan Swart, Thuto Ngongwane, André Burger, Jonathan Ledgard, Erik Meijaard
2023	J	`jnl`	Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation using Deep Learning and 3/4G Camera Traps. CoRR Paul Fergus, Carl Chalmers, Steven N. Longmore, Serge A. Wich, Carmen Warmenhove, Jonathan Swart, Thuto Ngongwane, André Burger, Jonathan Ledgard, Erik Meijaard
2023	J	`jnl`	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 Paul Fergus, Carl Chalmers, William Henderson, Danny Roberts, Atif Waraich
2023	J	`jnl`	Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning. CoRR Carl Chalmers, Paul Fergus, Serge A. Wich, Steven N. Longmore, Naomi Davies Walsh, Philip Stephens, Chris Sutherland, Naomi Matthews, Jens Mudde, Amira Nuseibeh
2023	J	`jnl`	Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning. Remote. Sens. Carl Chalmers, Paul Fergus, Serge A. Wich, Steven N. Longmore, Naomi Davies Walsh, Philip Stephens, Chris Sutherland, Naomi Matthews, Jens Mudde, Amira Nuseibeh
2022	J	`jnl`	Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors. Sensors Sean Givnan, Carl Chalmers, Paul Fergus, Sandra Ortega-Martorell, Tom Whalley
2022	—	`book`	Applied Deep Learning - Tools, Techniques, and Implementation Paul Fergus, Carl Chalmers
2022	J	`jnl`	Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence. CoRR Juliana Vélez, Paula J. Castiblanco-Camacho, Michael A. Tabak, Carl Chalmers, Paul Fergus, John Fieberg
2022	J	`jnl`	Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation. IEEE Trans. Emerg. Top. Comput. Carl Chalmers, Paul Fergus, C. Aday Curbelo Montañez, Sudip Sikdar, Freya Ball, Bryony Kendall
2022	J	`jnl`	Pressure Ulcer Categorisation using Deep Learning: A Clinical Trial to Evaluate Model Performance. CoRR Paul Fergus, Carl Chalmers, William Henderson, Danny Roberts, Atif Waraich
2022	J	`jnl`	The Categorical Data Conundrum: Heuristics for Classification Problems - A Case Study on Domestic Fire Injuries. IEEE Access Denis Reilly, Mark Taylor, Paul Fergus, Carl Chalmers, Steven Thompson
2022	J	`jnl`	Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning. Sensors Sally O. A. Westworth, Carl Chalmers, Paul Fergus, Steven N. Longmore, Alex K. Piel, Serge A. Wich
2021	J	`jnl`	An Evaluation of the Factors Affecting 'Poacher' Detection with Drones and the Efficacy of Machine-Learning for Detection. Sensors Katie E. Doull, Carl Chalmers, Paul Fergus, Steve Longmore, Alex K. Piel, Serge A. Wich
2021	J	`jnl`	Misper-Bayes: A Bayesian Network Model for Missing Person Investigations. IEEE Access Denis Reilly, Mark Taylor, Paul Fergus, Carl Chalmers, Steven Thompson
2021	B	`conf`	Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning. IJCNN Carl Chalmers, Paul Fergus, Serge A. Wich, S. N. Longmore
2021	J	`jnl`	Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning. CoRR Carl Chalmers, Paul Fergus, Serge A. Wich, S. N. Longmore
2021	J	`jnl`	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. Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez, Denis Reilly, Paulo Lisboa, Beth Pineles
2021	J	`jnl`	Real-Time Predictive Maintenance using Autoencoder Reconstruction and Anomaly Detection. CoRR Sean Givnan, Carl Chalmers, Paul Fergus, Sandra Ortega, Tom Whalley
2020	J	`jnl`	BMI: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters. CoRR Paul Fergus, Carl Chalmers
2020	B	`conf`	Deep Learning and Genome-Wide Association Studies for the Classification of Type 2 Diabetes. IJCNN Basma Abdulaimma, Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez
2020	B	`conf`	Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network. IJCNN Steven Thompson, Paul Fergus, Carl Chalmers, Denis Reilly
2020	J	`jnl`	Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network. CoRR Steven Thompson, Paul Fergus, Carl Chalmers, Denis Reilly
2020	J	`jnl`	SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. IEEE Access Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers, Nurul Hashimah Ahamed Hassain Malim, Basma Abdulaimma, Denis Reilly, Francesco Falciani
2020	J	`jnl`	Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. IEEE ACM Trans. Comput. Biol. Bioinform. Paul Fergus, Casimiro Aday Curbelo Montañez, Basma Abdulaimma, Paulo Lisboa, Carl Chalmers, Beth Pineles
2019	J	`jnl`	A First Implementation of Underwater Communications in Raw Water Using the 433 MHz Frequency Combined with a Bowtie Antenna. Sensors Samuel Ryecroft, Andrew Shaw, Paul Fergus, Patryk Kot, Khalid Hashim, Adam Moody, Laura Conway
2019	C	`conf`	A Novel Gesomin Detection Method Based on Microwave Spectroscopy. DeSE Samuel Peter Ryecroft, Andy Shaw, Paul Fergus, Patryk Kot, Khalid Hashim, Laura Conway, Adam Moody
2019	J	`jnl`	Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology. CoRR Carl Chalmers, Paul Fergus, Serge A. Wich, C. Aday Curbelo Montañez
2019	J	`jnl`	Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation. CoRR Carl Chalmers, Paul Fergus, Casimiro Aday Curbelo Montañez, Sudip Sikdar, Freya Ball, Bryony Kendall
2019	J	`jnl`	Identifying behavioural changes for health monitoring applications using the advanced metering infrastructure. Behav. Inf. Technol. Carl Chalmers, William Hurst, Michael Mackay, Paul Fergus
2019	J	`jnl`	Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. CoRR Paul Fergus, Carl Chalmers, Casimiro Aday Curbelo Montañez, Denis Reilly, Paulo Lisboa, Beth Pineles
2019	J	`jnl`	SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. CoRR Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers, Nurul Hashimah Ahamed Hassain Malim, Basma Abdulaimma, Denis Reilly, Francesco Falciani
2018	B	`conf`	A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. CEC Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Thar Baker, Robert Keight, Paulo Lisboa, Paul Fergus, Ala S. Al Kafri
2018	—	`conf`	Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. CIBB Casimiro Aday Curbelo Montañez, Paul Fergus, Carl Chalmers, Jade Hind
2018	J	`jnl`	Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. CoRR Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily
2018	J	`jnl`	Collaborative Pressure Ulcer Prevention: An Automated Skin Damage and Pressure Ulcer Assessment Tool for Nursing Professionals, Patients, Family Members and Carers. CoRR Paul Fergus, Carl Chalmers, David Tully
2018	B	`conf`	Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. IJCNN Casimiro Aday Curbelo Montañez, Paul Fergus, Almudena Curbelo Montañez, Abir Hussain, Dhiya Al-Jumeily, Carl Chalmers
2018	J	`jnl`	Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. CoRR Casimiro Aday Curbelo Montañez, Paul Fergus, Almudena Curbelo Montañez, Abir Hussain, Dhiya Al-Jumeily, Carl Chalmers
2018	J	`jnl`	Extracting Epistatic Interactions in Type 2 Diabetes Genome-Wide Data Using Stacked Autoencoder. CoRR Basma Abdulaimma, Paul Fergus, Carl Chalmers
2018	B	`conf`	Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors. CEC Basma Abdulaimma, Abir Hussain, Paul Fergus, Dhiya Al-Jumeily, Paulo Lisboa, De-Shuang Huang, Naeem Radi
2018	—	`conf`	Machine Learning Techniques for Classification of Livestock Behavior. ICONIP (4) Natasa Kleanthous, Abir Hussain, Alex Mason, Jennifer Sneddon, Andy Shaw, Paul Fergus, Carl Chalmers, Dhiya Al-Jumeily
2018	J	`jnl`	Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces. Comput. Biol. Medicine Paul Fergus, Malarvizhi Selvaraj, Carl Chalmers
2018	C	`conf`	Requirements of an Underwater Sensor-Networking Platform for Environmental Monitoring. DeSE Samuel P. Ryecroft, Andy Shaw, Paul Fergus, Patryk Kot, Magomed Muradov, Adam Moody, Laura Conroy
2018	B	`conf`	Segmentation of Lumbar Spine MRI Images for Stenosis Detection Using Patch-Based Pixel Classification Neural Network. CEC 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
2018	J	`jnl`	Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. CoRR Paul Fergus, Casimiro Aday Curbelo Montañez, Basma Abdulaimma, Paulo Lisboa, Carl Chalmers
2017	—	`conf`	A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets. ICIC (2) Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Ala S. Al Kafri, Carl Chalmers, Paul Fergus, Ibrahim Olatunji Idowu
2017	J	`jnl`	A machine learning approach to measure and monitor physical activity in children. Neurocomputing 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
2017	—	`conf`	Association Mapping Approach into Type 2 Diabetes Using Biomarkers and Clinical Data. ICIC (2) Basma Abdulaimma, Abir Hussain, Paul Fergus, Dhiya Al-Jumeily, Casimiro Aday Curbelo Montañez, Jade Hind
2017	C	`conf`	Detecting the Disc Herniation in Segmented Lumbar Spine MR Image Using Centroid Distance Function. DeSE 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
2017	—	`conf`	Evaluation of Phenotype Classification Methods for Obesity Using Direct to Consumer Genetic Data. ICIC (2) Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily, Mehmet Tevfik Dorak, Rosni Abdullah
2017	—	`conf`	Lumbar Spine Discs Labeling Using Axial View MRI Based on the Pixels Coordinate and Gray Level Features. ICIC (3) 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
2017	B	`conf`	Machine learning approaches for the prediction of obesity using publicly available genetic profiles. IJCNN Casimiro Aday Curbelo Montañez, Paul Fergus, Abir Hussain, Dhiya Al-Jumeily, Basma Abdulaimma, Jade Hind, Naeem Radi
2017	J	`jnl`	Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models. Neurocomputing Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al-Jumeily, Paul Fergus, Russell Keenan, Posco Tso
2017	C	`conf`	Recurrent Neural Network Architectures for Analysing Biomedical Data Sets. DeSE Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al-Jumeily, Russell Keenan, Carl Chalmers, Paul Fergus, Wafaa Salih, Dhafar Hamed Abd, Ibrahim Olatunji Idowu
2016	—	`conf`	A Dynamic, Modular Intelligent-Agent Framework for Astronomical Light Curve Analysis and Classification. ICIC (1) Paul R. McWhirter, Sean Wright, Iain A. Steele, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus
2016	—	`conf`	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) Ala S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Mohammed Al-Jumaily, Haya Al-Askar
2016	—	`conf`	A Genetic Analytics Approach for Risk Variant Identification to Support Intervention Strategies for People Susceptible to Polygenic Obesity and Overweight. ICIC (1) C. Aday Curbelo Montañez, Paul Fergus, Abir Jaafar Hussain, Dhiya Al-Jumeily, B. Abdulaimma, Haya Al-Askar
2016	—	`conf`	A Smart Health Monitoring Technology. ICIC (1) Carl Chalmers, William Hurst, Michael Mackay, Paul Fergus
2016	—	`conf`	A Support Network for Distributed Systems. Edutainment Sahar Badri, Paul Fergus, William Hurst
2016	J	`jnl`	Advanced artificial neural network classification for detecting preterm births using EHG records. Neurocomputing Paul Fergus, Ibrahim Olatunji Idowu, Abir Jaafar Hussain, Chelsea Dobbins
2016	C	`conf`	Critical infrastructure automated immuno-response system (CIAIRS). CoDIT Sahar Badri, Paul Fergus, William Hurst
2016	B	`conf`	Evaluation of machine learning methods to predict knee loading from the movement of body segments. IJCNN Ahmed J. Aljaaf, Abir Jaafar Hussain, Paul Fergus, Andrzej Przybyla, Gabor J. Barton
2016	—	`conf`	Partially Synthesised Dataset to Improve Prediction Accuracy. ICIC (1) Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Hani Hamdan
2016	C	`conf`	Statistical Analysis Methods for Interdependency Communication in Distributed Systems. DeSE Sahar Badri, Paul Fergus, William Hurst
2016	C	`conf`	The Effects of Premature Birth on Children Education. DeSE Wafaa Mahdi Salih, Abir Jaafar Hussain, Mohammed Khalaf, Janet Lunn, Dhiya Al-Jumeily, Paul Fergus, Timothy Ealeifo, Hanaa Mahdi Salih
2016	—	`conf`	Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease. ICIC (1) Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Paul Fergus, Haya Al-Askar, Andy Shaw, Ibrahim Olatunji Idowu
2015	—	`conf`	A Framework to Support Ubiquitous Healthcare Monitoring and Diagnostic for Sickle Cell Disease. ICIC (2) Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Russell Keenan, Naeem Radi
2015	—	`conf`	A Machine Learning Approach to Measure and Monitor Physical Activity in Children to Help Fight Overweight and Obesity. ICIC (2) Paul Fergus, Abir Jaafar Hussain, John Hearty, Stuart Fairclough, Lynne Boddy, Kelly A. Mackintosh, Gareth Stratton, Nicola D. Ridgers, Naeem Radi
2015	—	`conf`	A Position Paper on Predicting the Onset of Nocturnal Enuresis Using Advanced Machine Learning. ICIC (2) Paul Fergus, Abir Jaafar Hussain, Dhiya Al-Jumeily, Naeem Radi
2015	—	`conf`	A Systematic Comparison and Evaluation of Supervised Machine Learning Classifiers Using Headache Dataset. ICIC (3) Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Naeem Radi
2015	J	`jnl`	A classifier fusion strategy to improve the early detection of neurodegenerative diseases. Int. J. Artif. Intell. Soft Comput. Shamaila Iram, Paul Fergus, Dhiya Al-Jumeily, Abir Jaafar Hussain, Martin Randles
2015	—	`conf`	Advance flood detection and notification system based on sensor technology and machine learning algorithm. IWSSIP Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Ibrahim Olatunji Idowu
2015	C	`conf`	An Investigation into Gender Disparities in the Field of Computing. DeSE Abir Jaafar Hussain, Laura Connell, Hulya Francis, Dhiya Al-Jumeily, Paul Fergus, Naeem Radi
2015	C	`conf`	Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease. DeSE Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Russell Keenan, Robert Keight, Paul Fergus, Ibrahim Olatunji Idowu
2015	—	`conf`	Applied machine learning classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets. IWSSIP Ahmed J. Aljaaf, Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Mohammed Al-Jumaily, Naeem Radi
2015	—	`conf`	Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care. CIT/IUCC/DASC/PICom Ibrahim Olatunji Idowu, Paul Fergus, Abir Jaafar Hussain, Chelsea Dobbins, Mohammed Khalaf, Raúl V. Casaña Eslava, Robert Keight
2015	J	`jnl`	Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women. Neurocomputing Abir Jaafar Hussain, Paul Fergus, Haya Al-Askar, Dhiya Al-Jumeily, Franc Jager
2015	B	`conf`	Knowledge extraction using probabilistic reasoning: An artificial neural network approach. IJCNN Chelsea Dobbins, Paul Fergus
2015	J	`jnl`	Predicting financial time series data using artificial immune system-inspired neural networks. Int. J. Artif. Intell. Soft Comput. Haya Alaskar, David J. Lamb, Abir Jaafar Hussain, Dhiya Al-Jumeily, Martin Randles, Paul Fergus
2015	—	`conf`	Robust Approach for Medical Data Classification and Deploying Self-Care Management System for Sickle Cell Disease. CIT/IUCC/DASC/PICom Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Russell Keenan, Paul Fergus, Ibrahim Olatunji Idowu
2015	—	`conf`	SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments. CIT/IUCC/DASC/PICom Julio C. S. dos Anjos, Marcos D. Assunção, 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
2015	—	`conf`	Self-organized Neural Network Inspired by the Immune Algorithm for the Prediction of Speech Signals. ICIC (2) Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus, Naeem Radi
2015	—	`conf`	Smart Health Monitoring Using the Advance Metering Infrastructure. CIT/IUCC/DASC/PICom Carl Chalmers, William Hurst, Michael Mackay, Paul Fergus
2015	B	`conf`	Smart meter profiling for health applications. IJCNN Carl Chalmers, William Hurst, Michael Mackay, Paul Fergus
2015	C	`conf`	Teaching Primary School Children the Concept of Computer Programming. DeSE Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Anthony Pich, Jade Hind
2015	C	`conf`	The Impact of Social Media and Its Utilisation by Pharmaceutical Companies. DeSE Ursula Lennon, Abir Jaafar Hussain, Hulya Francis, Dhiya Al-Jumeily, Paul Fergus, Mohammed Khalaf, Naeem Radi
2015	—	`conf`	The Utilisation of Dynamic Neural Networks for Medical Data Classifications- Survey with Case Study. ICIC (3) Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Haya Alaskar, Naeem Radi
2015	—	`conf`	The utilisation of social media for bridging the gap between patients and pharmaceutical companies. IWSSIP Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Ursula Lennon, Mohammed Khalaf, Naeem Radi
2015	J	`jnl`	Using adaptive neural networks to provide self-healing autonomic software. Int. J. Space Based Situated Comput. Dhiya Al-Jumeily, Abir Jaafar Hussain, Paul Fergus
2014	—	`conf`	A Survey of Critical Infrastructure Security. Critical Infrastructure Protection William Hurst, Madjid Merabti, Paul Fergus
2014	Misc	`conf`	Advance Artificial Neural Network Classification Techniques Using EHG for Detecting Preterm Births. CISIS Ibrahim Olatunji Idowu, Paul Fergus, Abir Jaafar Hussain, Chelsea Dobbins, Haya Al-Askar
2014	—	`conf`	An Advanced Machine Learning Approach to Generalised Epileptic Seizure Detection. ICIC (3) Paul Fergus, David Hignett, Abir Jaafar Hussain, Dhiya Al-Jumeily
2014	J	`jnl`	Behaviour analysis techniques for supporting critical infrastructure security. Int. J. Crit. Infrastructures William Hurst, Madjid Merabti, Paul Fergus
2014	—	`conf`	Big Data Analysis Techniques for Cyber-threat Detection in Critical Infrastructures. AINA Workshops William Hurst, Madjid Merabti, Paul Fergus
2014	—	`conf`	Block Matching Algorithms for Motion Estimation - A Comparison Study. SIRS Abir Jaafar Hussain, Liam Knight, Dhiya Al-Jumeily, Paul Fergus, Hani Hamdan
2014	J	`jnl`	Creating human digital memories with the aid of pervasive mobile devices. Pervasive Mob. Comput. Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones
2014	—	`conf`	Early Detection Method of Alzheimer's Disease Using EEG Signals. ICIC (3) Dhiya Al-Jumeily, Shamaila Iram, Abir Jaafar Hussain, François-Benoît Vialatte, Paul Fergus
2014	—	`conf`	Evaluation of Advanced Artificial Neural Network Classification and Feature Extraction Techniques for Detecting Preterm Births Using EHG Records. ICIC (3) Paul Fergus, Ibrahim Olatunji Idowu, Abir Jaafar Hussain, Chelsea Dobbins, Haya Al-Askar
2014	Misc	`conf`	Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets Using Multiple Classifiers. CISIS Shamaila Iram, Dhiya Al-Jumeily, Paul Fergus, Abir Jaafar Hussain
2014	J	`jnl`	Protecting critical infrastructures through behavioural observation. Int. J. Crit. Infrastructures William Hurst, Madjid Merabti, Shamaila Iram, Paul Fergus
2014	—	`conf`	The Big Data Obstacle of Lifelogging. AINA Workshops Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones
2013	—	`conf`	A Machine Learning Algorithm for Searching Vectorised RDF Data. AINA Workshops Asaad Sabah Hadi, Paul Fergus, Chelsea Dobbins, Abbas Muhsin Al-Bakry
2013	C	`conf`	A Mobile Multimedia Application Inspired by a Spaced Repetition Algorithm for Assistance with Speech and Language Therapy. DeSE David Folksman, Paul Fergus, Dhiya Al-Jumeily, Chris Carter
2013	—	`conf`	Behavioural Observation for Critical Infrastructure Security Support. EMS William Hurst, Madjid Merabti, Paul Fergus
2013	—	`conf`	Creating human digital memories for a richer recall of life experiences. ICNSC Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones
2013	J	`jnl`	Exploiting linked data to create rich human digital memories. Comput. Commun. Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones, Faycal Bouhafs
2013	C	`conf`	M2M Rendezvous Redundancy for the Internet of Things. DeSE Andrew Attwood, Omar Abuelma'atti, Paul Fergus
2012	—	`conf`	Augmenting human digital memories with physiological data. NESEA Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones
2012	—	`conf`	Capturing and sharing human digital memories with the aid of ubiquitous Peer-to-Peer mobile services. PerCom Workshops Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones
2012	—	`conf`	Creating intelligent environments to monitor and manipulate physical activity and sedentary behavior in public health and clinical settings. ICC Gareth Stratton, Rebecca Murphy, Michael Rosenberg, Paul Fergus, Andrew Attwood
2012	—	`conf`	Managing critical infrastructures through behavioural observation. NESEA William Hurst, Madjid Merabti, Paul Fergus
2012	—	`conf`	Monitoring and measuring sedentary behaviour with the aid of human digital memories. CCNC Chelsea Dobbins, Paul Fergus, Madjid Merabti, David Llewellyn-Jones
2012	—	`conf`	Operational Support for Critical Infrastructure Security. HPCC-ICESS William Hurst, Madjid Merabti, Paul Fergus
2012	—	`conf`	Remotely monitoring and preventing the development of pressure ulcers with the aid of human digital memories. ICC Chelsea Dobbins, Paul Fergus, Madjid Merabti, David Llewellyn-Jones
2011	C	`conf`	E-Health: The Potential of Linked Data and Stream Reasoning for Personalised Healthcare. DeSE Shamaila Iram, Dhiya Al-Jumeily, Paul Fergus, Martin Randles, Michael Davies
2011	C	`conf`	Expanding Tele-care: Using Motion Sensors for Monitoring Purposes. DeSE Paul Fergus, Mark Taylor, Madjid Merabti, John Haggerty, L. Bracegirdle
2011	C	`conf`	SCCIR: Smart Cities Critical Infrastructure Response Framework. DeSE Andrew Attwood, Madjid Merabti, Paul Fergus, Omar Abuelma'atti
2011	—	`ch.`	Towards a Whole Body Sensing Platform for Healthcare Applications. Whole Body Interaction Paul Fergus, John Haggerty, Mark John Taylor, L. Bracegirdle
2010	—	`conf`	A Wireless Home and Body Sensor Network Platform for the Early Detection of Arthritis. CCNC Arshad Haroon, Paul Fergus, Amjad Shaheed, Madjid Merabti
2010	—	`conf`	Body Area Networks for Movement Analysis in Physiotherapy Treatments. AINA Workshops Kashif Kifayat, Paul Fergus, Simon Cooper, Madjid Merabti
2010	J	`jnl`	Forensic investigation of peer-to-peer networks. Netw. Secur. Mark John Taylor, John Haggerty, David Gresty, Paul Fergus
2010	—	`conf`	Peer-to-Peer Overlay Gateway Services for Home Automation and Management. AINA Workshops Arshad Muhammad, Paul Fergus, Madjid Merabti, Bob Askwith
2010	—	`conf`	Visualisation of Ubiquitous Home Devices and Services. CCNC Amjad Shaheed, Paul Fergus, Omar Abuelma'atti, Madjid Merabti
2009	—	`conf`	A Hierarchically Structured Worldwide Sensor Web Architecture. AINA Workshops Ian Rhead, Madjid Merabti, Hala M. Mokhtar, Paul Fergus
2009	—	`conf`	A Hierarchically Structured Worldwide Sensor Web Architecture. CCNC Ian Rhead, Madjid Merabti, Hala M. Mokhtar, Paul Fergus
2009	—	`conf`	A framework for physical health improvement using Wireless Sensor Networks and gaming. PervasiveHealth Paul Fergus, Kashif Kifayat, Simon Cooper, Madjid Merabti, Abdennour El Rhalibi
2009	B	`conf`	Remote physiotherapy treatments using wireless body sensor networks. IWCMC Paul Fergus, K. Kafiyat, Madjid Merabti, A. Taleb-Bendiab, Abdennour El Rhalibi
2009	—	`conf`	Towards an Advanced Framework for Whole Body Interaction. HCI (13) David England, Martin Randles, Paul Fergus, A. Taleb-Bendiab
2009	—	`conf`	Whole body interaction. CHI Extended Abstracts David England, Eva Hornecker, Chris Roast, Pablo Romero, Paul Fergus, Paul Marshall
2008	J	`jnl`	Managing Distributed Networked Appliances in Home Networks. Proc. IEEE Madjid Merabti, Paul Fergus, Omar Abuelma'atti, Hong Heather Yu, Charlie Judice
2008	—	`conf`	Networked Appliances: Manipulation of 3D Multimedia Streams. CCNC Paul Fergus, David Llewellyn-Jones, Amjad Shaheed, Madjid Merabti, Abdennour El Rhalibi
2008	—	`conf`	Perceptual User Interface as Games Controller. CCNC Abdennour El Rhalibi, Madjid Merabti, Paul Fergus, Yuanyuan Shen
2008	—	`conf`	Virtual Environments with Content Sharing. Edutainment Madjid Merabti, Abdennour El Rhalibi, Amjad Shaheed, Paul Fergus, Marc Price
2007	B	`conf`	Ad Hoc Gateway Service for Automatic Package Delivery using Networked Appliances. WCNC Arshad Muhammad, Madjid Merabti, Bob Askwith, Paul Fergus
2007	—	`conf`	Bridging the Gap between Networked Appliances and Virtual Worlds. AINA Workshops (1) Paul Fergus, David Llewellyn-Jones, Madjid Merabti, Abdennour El Rhalibi
2007	—	`conf`	Networked Appliances for Home Healthcare and Lifestyle Management. IHN Paul Fergus, David Llewellyn-Jones, Madjid Merabti, Arshad Haroon
2006	J	`jnl`	Dynamic service composition in home appliance networks. Multim. Tools Appl. Anirach Mingkhwan, Paul Fergus, Omar Abuelma'atti, Madjid Merabti, Bob Askwith, Martin Hanneghan
2005	—	`—`	A framework for self-adaptive networked appliances. Paul Fergus
2005	—	`conf`	A semantic framework for self-adaptive networked appliances. CCNC Paul Fergus, Madjid Merabti, Martin Hanneghan, A. Taleb-Bendiab, Anirach Mingkhwan
2004	—	`conf`	Implicit functionality: dynamic services composition for home networked appliances. ICC Anirach Mingkhwan, Paul Fergus, Omar Abuelma'atti, Madjid Merabti
2003	—	`conf`	DiSUS: Mobile Ad Hoc Network Unstructured Services. PWC Paul Fergus, Anirach Mingkhwan, Madjid Merabti, Martin Hanneghan