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ORCIDPaul Fergus
Paul Hussain Fergus
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- affiliation: Liverpool John Moores University, UK
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2020 – today
- 2024
[j30]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: 1076-1091 (2024)- [i20]Paul Fergus, Carl Chalmers, Steve Longmore, Serge A. Wich:
Harnessing Artificial Intelligence for Wildlife Conservation. CoRR abs/2409.10523 (2024) - [i19]Paul Fergus, Carl Chalmers, Naomi Matthews, Stuart Nixon, André Burger, Oliver Hartley, Chris Sutherland, Xavier Lambin, Steven N. Longmore, Serge A. Wich:
Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data. CoRR abs/2411.14219 (2024) - [i18]Carl Chalmers, Paul Fergus, Serge A. Wich, Steven N. Longmore, Naomi Davies Walsh, Lee Oliver, James Warrington, Julieanne Quinlan, Katie Appleby:
AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv10. CoRR abs/2411.15263 (2024) - 2023
- [j29]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: 65138-65152 (2023) - [j28]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): 2638 (2023) - [j27]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): 2730 (2023) - [i17]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 abs/2304.12703 (2023) - [i16]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 abs/2305.02097 (2023) - 2022
- [b2]Paul Fergus, Carl Chalmers:
Applied Deep Learning - Tools, Techniques, and Implementation. Springer 2022, ISBN 978-3-031-04419-9, pp. 3-341 - [j26]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: 70113-70125 (2022) - [j25]Sean Givnan, Carl Chalmers, Paul Fergus, Sandra Ortega-Martorell, Tom Whalley:
Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors. Sensors 22(9): 3166 (2022) - [j24]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): 5386 (2022) - [j23]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): 157-169 (2022) - [i15]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 abs/2202.02283 (2022) - [i14]Paul Fergus, Carl Chalmers, William Henderson, Danny Roberts, Atif Waraich:
Pressure Ulcer Categorisation using Deep Learning: A Clinical Trial to Evaluate Model Performance. CoRR abs/2203.06248 (2022) - 2021
- [j22]Denis Reilly, Mark Taylor, Paul Fergus, Carl Chalmers, Steven Thompson:
Misper-Bayes: A Bayesian Network Model for Missing Person Investigations. IEEE Access 9: 49990-50000 (2021) - [j21]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): 4074 (2021) - [j20]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): 882-892 (2021) - [c92]Carl Chalmers, Paul Fergus, Serge A. Wich, S. N. Longmore:
Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning. IJCNN 2021: 1-7 - [i13]Carl Chalmers, Paul Fergus, Serge A. Wich, S. N. Longmore:
Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning. CoRR abs/2103.07276 (2021) - [i12]Sean Givnan, Carl Chalmers, Paul Fergus, Sandra Ortega, Tom Whalley:
Real-Time Predictive Maintenance using Autoencoder Reconstruction and Anomaly Detection. CoRR abs/2110.01447 (2021) - 2020
- [j19]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: 112379-112392 (2020) - [j18]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): 668-678 (2020) - [c91]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: 1-8 - [c90]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: 1-8 - [i11]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 abs/2002.00833 (2020) - [i10]Paul Fergus, Carl Chalmers:
BMI: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters. CoRR abs/2002.12899 (2020)
2010 – 2019
- 2019
- [j17]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): 1154-1166 (2019) - [j16]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): 1813 (2019) - [c89]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: 429-433 - [i9]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 abs/1903.12080 (2019) - [i8]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 abs/1908.02338 (2019) - [i7]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 abs/1908.10166 (2019) - [i6]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 abs/1910.07360 (2019) - 2018
- [j15]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: 7-16 (2018) - [c88]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: 1-7 - [c87]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: 1-8 - [c86]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: 1-8 - [c85]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: 262-276 - [c84]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: 95-99 - [c83]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: 304-315 - [c82]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: 1-8 - [i5]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 abs/1801.02977 (2018) - [i4]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 abs/1804.03198 (2018) - [i3]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 abs/1804.06262 (2018) - [i2]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 abs/1808.06503 (2018) - [i1]Basma Abdulaimma, Paul Fergus, Carl Chalmers:
Extracting Epistatic Interactions in Type 2 Diabetes Genome-Wide Data Using Stacked Autoencoder. CoRR abs/1808.09517 (2018) - 2017
- [j14]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: 154-164 (2017) - [j13]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:
A machine learning approach to measure and monitor physical activity in children. Neurocomputing 228: 220-230 (2017) - [c81]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: 9-13 - [c80]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: 232-237 - [c79]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: 107-116 - [c78]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: 115-121 - [c77]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: 325-336 - [c76]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: 350-362 - [c75]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: 2743-2750 - 2016
- [j12]Paul Fergus, Ibrahim Olatunji Idowu, Abir Jaafar Hussain, Chelsea Dobbins:
Advanced artificial neural network classification for detecting preterm births using EHG records. Neurocomputing 188: 42-49 (2016) - [c74]Sahar Badri, Paul Fergus, William Hurst:
Critical infrastructure automated immuno-response system (CIAIRS). CoDIT 2016: 96-101 - [c73]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: 51-55 - [c72]Sahar Badri, Paul Fergus, William Hurst:
Statistical Analysis Methods for Interdependency Communication in Distributed Systems. DeSE 2016: 273-278 - [c71]Sahar Badri, Paul Fergus, William Hurst:
A Support Network for Distributed Systems. Edutainment 2016: 318-330 - [c70]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: 784-795 - [c69]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: 808-819 - [c68]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: 820-831 - [c67]Carl Chalmers, William Hurst, Michael Mackay, Paul Fergus:
A Smart Health Monitoring Technology. ICIC (1) 2016: 832-842 - [c66]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: 843-854 - [c65]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: 855-866 - [c64]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: 5168-5173 - 2015
- [j11]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): 23-44 (2015) - [j10]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): 45-68 (2015) - [j9]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: 963-974 (2015) - [j8]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): 129-140 (2015) - [c63]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: 199-206 - [c62]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: 215-220 - [c61]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: 575-580 - [c60]Carl Chalmers, William Hurst, Michael Mackay, Paul Fergus:
Smart Health Monitoring Using the Advance Metering Infrastructure. CIT/IUCC/DASC/PICom 2015: 2297-2302 - [c59]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: 14-19 - [c58]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: 20-25 - [c57]Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Anthony Pich, Jade Hind:
Teaching Primary School Children the Concept of Computer Programming. DeSE 2015: 180-184 - [c56]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: 231-235 - [c55]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: 101-108 - [c54]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: 654-664 - [c53]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: 665-675 - [c52]Paul Fergus, Abir Jaafar Hussain, John Hearty, Stuart Fairclough, Lynne Boddy, Kelly A. 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: 676-688 - [c51]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: 689-700 - [c50]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: 752-758 - [c49]Carl Chalmers, William Hurst, Michael Mackay, Paul Fergus:
Smart meter profiling for health applications. IJCNN 2015: 1-7 - [c48]Chelsea Dobbins, Paul Fergus:
Knowledge extraction using probabilistic reasoning: An artificial neural network approach. IJCNN 2015: 1-8 - [c47]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: 105-108 - [c46]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: 179-183 - [c45]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: 228-232 - 2014
- [j7]William Hurst, Madjid Merabti, Shamaila Iram, Paul Fergus:
Protecting critical infrastructures through behavioural observation. Int. J. Crit. Infrastructures 10(2): 174-192 (2014) - [j6]William Hurst, Madjid Merabti, Paul Fergus:
Behaviour analysis techniques for supporting critical infrastructure security. Int. J. Crit. Infrastructures 10(3/4): 267-287 (2014) - [j5]Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones:
Creating human digital memories with the aid of pervasive mobile devices. Pervasive Mob. Comput. 12: 160-178 (2014) - [c44]William Hurst, Madjid Merabti, Paul Fergus:
Big Data Analysis Techniques for Cyber-threat Detection in Critical Infrastructures. AINA Workshops 2014: 916-921 - [c43]Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones:
The Big Data Obstacle of Lifelogging. AINA Workshops 2014: 922-926 - [c42]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: 95-100 - [c41]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: 346-352 - [c40]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: 25-33 - [c39]Paul Fergus, David Hignett, Abir Jaafar Hussain, Dhiya Al-Jumeily:
An Advanced Machine Learning Approach to Generalised Epileptic Seizure Detection. ICIC (3) 2014: 112-118 - [c38]Haya Alaskar, Abir Jaafar Hussain, Paul Hussain Fergus, Dhiya Al-Jumeily, Hissam Tawfik, Hani Hamdan:
Feature Analysis of Uterine Electrohystography Signal Using Dynamic Self-organised Multilayer Network Inspired by the Immune Algorithm. ICIC (1) 2014: 206-212 - [c37]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: 309-314 - [c36]William Hurst, Madjid Merabti, Paul Fergus:
A Survey of Critical Infrastructure Security. Critical Infrastructure Protection 2014: 127-138 - [c35]Abir Jaafar Hussain, Liam Knight, Dhiya Al-Jumeily, Paul Fergus, Hani Hamdan:
Block Matching Algorithms for Motion Estimation - A Comparison Study. SIRS 2014: 359-369 - 2013
- [j4]Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones, Faycal Bouhafs:
Exploiting linked data to create rich human digital memories. Comput. Commun. 36(15-16): 1639-1656 (2013) - [c34]Asaad Sabah Hadi, Paul Fergus, Chelsea Dobbins, Abbas Muhsin Al-Bakry:
A Machine Learning Algorithm for Searching Vectorised RDF Data. AINA Workshops 2013: 613-618 - [c33]Andrew Attwood, Omar Abuelma'atti, Paul Fergus:
M2M Rendezvous Redundancy for the Internet of Things. DeSE 2013: 46-50 - [c32]David Folksman, Paul Fergus, Dhiya Al-Jumeily, Chris Carter:
A Mobile Multimedia Application Inspired by a Spaced Repetition Algorithm for Assistance with Speech and Language Therapy. DeSE 2013: 367-375 - [c31]William Hurst, Madjid Merabti, Paul Fergus:
Behavioural Observation for Critical Infrastructure Security Support. EMS 2013: 36-41 - [c30]Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones:
Creating human digital memories for a richer recall of life experiences. ICNSC 2013: 246-251 - 2012
- [c29]Chelsea Dobbins, Paul Fergus, Madjid Merabti, David Llewellyn-Jones:
Monitoring and measuring sedentary behaviour with the aid of human digital memories. CCNC 2012: 395-398 - [c28]William Hurst, Madjid Merabti, Paul Fergus:
Operational Support for Critical Infrastructure Security. HPCC-ICESS 2012: 1473-1478 - [c27]Chelsea Dobbins, Paul Fergus, Madjid Merabti, David Llewellyn-Jones:
Remotely monitoring and preventing the development of pressure ulcers with the aid of human digital memories. ICC 2012: 6101-6105 - [c26]Gareth Stratton, Rebecca Murphy, Michael Rosenberg, Paul Fergus, Andrew Attwood:
Creating intelligent environments to monitor and manipulate physical activity and sedentary behavior in public health and clinical settings. ICC 2012: 6111-6115 - [c25]Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones:
Augmenting human digital memories with physiological data. NESEA 2012: 1-7 - [c24]William Hurst, Madjid Merabti, Paul Fergus:
Managing critical infrastructures through behavioural observation. NESEA 2012: 1-6 - [c23]Chelsea Dobbins, Madjid Merabti, Paul Fergus, David Llewellyn-Jones:
Capturing and sharing human digital memories with the aid of ubiquitous Peer-to-Peer mobile services. PerCom Workshops 2012: 64-69 - 2011
- [c22]Paul Fergus, Mark Taylor, Madjid Merabti, John Haggerty, L. Bracegirdle:
Expanding Tele-care: Using Motion Sensors for Monitoring Purposes. DeSE 2011: 19-23 - [c21]Shamaila Iram, Dhiya Al-Jumeily, Paul Fergus, Martin Randles, Michael Davies:
E-Health: The Potential of Linked Data and Stream Reasoning for Personalised Healthcare. DeSE 2011: 46-49 - [c20]Andrew Attwood, Madjid Merabti, Paul Fergus, Omar Abuelma'atti:
SCCIR: Smart Cities Critical Infrastructure Response Framework. DeSE 2011: 460-464 - [p1]Paul Fergus, John Haggerty, Mark John Taylor, L. Bracegirdle:
Towards a Whole Body Sensing Platform for Healthcare Applications. Whole Body Interaction 2011: 135-149 - 2010
- [j3]Mark John Taylor, John Haggerty, David Gresty, Paul Fergus:
Forensic investigation of peer-to-peer networks. Netw. Secur. 2010(9): 12-15 (2010) - [c19]Kashif Kifayat, Paul Fergus, Simon Cooper, Madjid Merabti:
Body Area Networks for Movement Analysis in Physiotherapy Treatments. AINA Workshops 2010: 866-872 - [c18]Arshad Muhammad, Paul Fergus, Madjid Merabti, Bob Askwith:
Peer-to-Peer Overlay Gateway Services for Home Automation and Management. AINA Workshops 2010: 880-886 - [c17]Arshad Haroon, Paul Fergus, Amjad Shaheed, Madjid Merabti:
A Wireless Home and Body Sensor Network Platform for the Early Detection of Arthritis. CCNC 2010: 1-5 - [c16]Amjad Shaheed, Paul Fergus, Omar Abuelma'atti, Madjid Merabti:
Visualisation of Ubiquitous Home Devices and Services. CCNC 2010: 1-5
2000 – 2009
- 2009
- [c15]Ian Rhead, Madjid Merabti, Hala M. Mokhtar, Paul Fergus:
A Hierarchically Structured Worldwide Sensor Web Architecture. AINA Workshops 2009: 570-575 - [c14]Ian Rhead, Madjid Merabti, Hala M. Mokhtar, Paul Fergus:
A Hierarchically Structured Worldwide Sensor Web Architecture. CCNC 2009: 1-2 - [c13]David England, Eva Hornecker, Chris Roast, Pablo Romero, Paul Fergus, Paul Marshall:
Whole body interaction. CHI Extended Abstracts 2009: 4815-4818 - [c12]David England, Martin Randles, Paul Fergus, A. Taleb-Bendiab:
Towards an Advanced Framework for Whole Body Interaction. HCI (13) 2009: 32-40 - [c11]Paul Fergus, K. Kafiyat, Madjid Merabti, A. Taleb-Bendiab, Abdennour El Rhalibi:
Remote physiotherapy treatments using wireless body sensor networks. IWCMC 2009: 1191-1197 - [c10]Paul Fergus, Kashif Kifayat, Simon Cooper, Madjid Merabti, Abdennour El Rhalibi:
A framework for physical health improvement using Wireless Sensor Networks and gaming. PervasiveHealth 2009: 1-4 - 2008
- [j2]Madjid Merabti, Paul Fergus, Omar Abuelma'atti, Hong Heather Yu, Charlie Judice:
Managing Distributed Networked Appliances in Home Networks. Proc. IEEE 96(1): 166-185 (2008) - [c9]Abdennour El Rhalibi, Madjid Merabti, Paul Fergus, Yuanyuan Shen:
Perceptual User Interface as Games Controller. CCNC 2008: 1059-1064 - [c8]Paul Fergus, David Llewellyn-Jones, Amjad Shaheed, Madjid Merabti, Abdennour El Rhalibi:
Networked Appliances: Manipulation of 3D Multimedia Streams. CCNC 2008: 1117-1122 - [c7]Madjid Merabti, Abdennour El Rhalibi, Amjad Shaheed, Paul Fergus, Marc Price:
Virtual Environments with Content Sharing. Edutainment 2008: 328-342 - 2007
- [c6]Paul Fergus, David Llewellyn-Jones, Madjid Merabti, Abdennour El Rhalibi:
Bridging the Gap between Networked Appliances and Virtual Worlds. AINA Workshops (1) 2007: 935-940 - [c5]Paul Fergus, David Llewellyn-Jones, Madjid Merabti, Arshad Haroon:
Networked Appliances for Home Healthcare and Lifestyle Management. IHN 2007: 313-328 - [c4]Arshad Muhammad, Madjid Merabti, Bob Askwith, Paul Fergus:
Ad Hoc Gateway Service for Automatic Package Delivery using Networked Appliances. WCNC 2007: 2576-2581 - 2006
- [j1]Anirach Mingkhwan, Paul Fergus, Omar Abuelma'atti, Madjid Merabti, Bob Askwith, Martin Hanneghan:
Dynamic service composition in home appliance networks. Multim. Tools Appl. 29(3): 257-284 (2006) - 2005
- [b1]Paul Fergus:
A framework for self-adaptive networked appliances. Liverpool John Moores University, UK, 2005 - [c3]Paul Fergus, Madjid Merabti, Martin Hanneghan, A. Taleb-Bendiab, Anirach Mingkhwan:
A semantic framework for self-adaptive networked appliances. CCNC 2005: 229-234 - 2004
- [c2]Anirach Mingkhwan, Paul Fergus, Omar Abuelma'atti, Madjid Merabti:
Implicit functionality: dynamic services composition for home networked appliances. ICC 2004: 43-47 - 2003
- [c1]Paul Fergus, Anirach Mingkhwan, Madjid Merabti, Martin Hanneghan:
DiSUS: Mobile Ad Hoc Network Unstructured Services. PWC 2003: 484-491
Coauthor Index
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