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2020 – today
- 2024
[j16]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)- [i17]Paul Fergus, Carl Chalmers, Steve Longmore, Serge A. Wich:
Harnessing Artificial Intelligence for Wildlife Conservation. CoRR abs/2409.10523 (2024) - 2023
- [j15]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) - [j14]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) - [j13]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) - [i16]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) - [i15]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 - [j12]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) - [j11]Sean Givnan, Carl Chalmers, Paul Fergus, Sandra Ortega-Martorell, Tom Whalley:
Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors. Sensors 22(9): 3166 (2022) - [j10]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) - [j9]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) - [i14]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) - [i13]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
- [j8]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) - [j7]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) - [j6]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) - [c14]Carl Chalmers, Paul Fergus, Serge A. Wich, S. N. Longmore:
Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning. IJCNN 2021: 1-7 - [i12]Carl Chalmers, Paul Fergus, Serge A. Wich, S. N. Longmore:
Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning. CoRR abs/2103.07276 (2021) - [i11]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
- [j5]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) - [j4]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) - [c13]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 - [c12]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 - [i10]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) - [i9]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
- [j3]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) - [j2]Mohammed Al-Khafajiy, Thar Baker, Carl Chalmers, Muhammad Asim, Hoshang Kolivand, Muhammad Fahim, Atif Waraich:
Remote health monitoring of elderly through wearable sensors. Multim. Tools Appl. 78(17): 24681-24706 (2019) - [i8]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) - [i7]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) - [i6]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) - [i5]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
- [j1]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) - [c11]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 - [c10]Jade Hind, Abir Hussain, Dhiya Al-Jumeily, Casimiro Aday Curbelo Montañez, Carl Chalmers, Paulo Lisboa:
Robust Interpretation of Genomic Data in Chronic Obstructive Pulmonary Disease (COPD). DeSE 2018: 12-17 - [c9]Mohammed Al-Khafajiy, Thar Baker, Hilal Al-Libawy, Atif Waraich, Carl Chalmers, Omar Alfandi:
Fog Computing Framework for Internet of Things Applications. DeSE 2018: 71-77 - [c8]Hiba Al Smadi, Fiona J. Petcher, Dhiya Al-Jumeily, Abir Jaafar Hussain, Carl Chalmers, Richard P. Jennings:
The Development of an Arches Resource Model for Recording Radiocarbon Information. DeSE 2018: 220-224 - [c7]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 - [c6]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 - [i4]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) - [i3]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) - [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
- [b1]Carl Chalmers:
Adaptive health monitoring using aggregated energy readings from smart meters. Liverpool John Moores University, UK, 2017 - [c5]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 - [c4]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 - 2016
- [c3]Carl Chalmers, William Hurst, Michael Mackay, Paul Fergus:
A Smart Health Monitoring Technology. ICIC (1) 2016: 832-842 - 2015
- [c2]Carl Chalmers, William Hurst, Michael Mackay, Paul Fergus:
Smart Health Monitoring Using the Advance Metering Infrastructure. CIT/IUCC/DASC/PICom 2015: 2297-2302 - [c1]Carl Chalmers, William Hurst, Michael Mackay, Paul Fergus:
Smart meter profiling for health applications. IJCNN 2015: 1-7
Coauthor Index
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last updated on 2024-10-15 00:21 CEST by the dblp team
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