| Remote health monitoring of elderly through wearable sensors M Al-khafajiy, T Baker, C Chalmers, M Asim, H Kolivand, M Fahim, ... Multimedia Tools and Applications 78 (17), 24681-24706, 2019 | 325 | 2019 |
| Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces P Fergus, M Selvaraj, C Chalmers Computers in biology and medicine 93, 7-16, 2018 | 78 | 2018 |
| Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs CAC Montaez, P Fergus, AC Montaez, A Hussain, D Al-Jumeily, ... 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 53 | 2018 |
| Detecting activities of daily living and routine behaviours in dementia patients living alone using smart meter load disaggregation C Chalmers, P Fergus, CAC Montanez, S Sikdar, F Ball, B Kendall IEEE Transactions on Emerging Topics in Computing 10 (1), 157-169, 2020 | 51 | 2020 |
| Utilizing deep learning and genome wide association studies for epistatic-driven preterm birth classification in African-American women P Fergus, CC Montanez, B Abdulaimma, P Lisboa, C Chalmers, B Pineles IEEE/ACM transactions on computational biology and bioinformatics 17 (2 …, 2018 | 51 | 2018 |
| Fog Computing Framework for Internet of Things Applications M Al-khafajiy, T Baker, H Al-Libawy, A Waraich, C Chalmers, O Alfandi 2018 11th International Conference on Developments in eSystems Engineering …, 2018 | 41 | 2018 |
| Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors S Givnan, C Chalmers, P Fergus, S Ortega-Martorell, T Whalley Sensors 22 (9), 3166, 2022 | 36 | 2022 |
| Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes P Fergus, C Chalmers, CC Montanez, D Reilly, P Lisboa, B Pineles IEEE Transactions on Emerging Topics in Computational Intelligence, 2020 | 36 | 2020 |
| An evaluation of platforms for processing camera‐trap data using artificial intelligence J Vélez, W McShea, H Shamon, PJ Castiblanco‐Camacho, MA Tabak, ... Methods in Ecology and Evolution 14 (2), 459-477, 2023 | 31 | 2023 |
| Noninvasive technologies for primate conservation in the 21st century AK Piel, A Crunchant, IE Knot, C Chalmers, P Fergus, M Mulero-Pázmány, ... International Journal of Primatology, 1-35, 2022 | 28 | 2022 |
| Smart meter profiling for health applications C Chalmers, W Hurst, M Mackay, P Fergus 2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015 | 25 | 2015 |
| Machine learning techniques for classification of livestock behavior N Kleanthous, A Hussain, A Mason, J Sneddon, A Shaw, P Fergus, ... Neural Information Processing: 25th International Conference, ICONIP 2018 …, 2018 | 22 | 2018 |
| An Evaluation of the Factors Affecting ‘Poacher’Detection with Drones and the Efficacy of Machine-Learning for Detection KE Doull, C Chalmers, P Fergus, S Longmore, AK Piel, SA Wich Sensors 21 (12), 4074, 2021 | 19 | 2021 |
| Recurrent Neural Network Architectures for Analysing Biomedical Data Sets M Khalaf, AJ Hussain, R Keight, D Al-Jumeily, R Keenan, C Chalmers, ... 2017 10th International Conference on Developments in eSystems Engineering …, 2017 | 19 | 2017 |
| Video analysis for the detection of animals using convolutional neural networks and consumer-grade drones C Chalmers, P Fergus, CA Curbelo Montanez, SN Longmore, SA Wich Journal of Unmanned Vehicle Systems 9 (2), 112-127, 2021 | 17 | 2021 |
| Smart health monitoring using the advance metering infrastructure C Chalmers, W Hurst, M Mackay, P Fergus 2015 IEEE International Conference on Computer and Information Technology …, 2015 | 17 | 2015 |
| The Categorical Data Conundrum: Heuristics for Classification Problems—A Case Study on Domestic Fire Injuries D Reilly, M Taylor, P Fergus, C Chalmers, S Thompson IEEE Access 10, 70113-70125, 2022 | 16 | 2022 |
| Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence J Vélez, PJ Castiblanco-Camacho, MA Tabak, C Chalmers, P Fergus, ... arXiv preprint arXiv:2202.02283, 2022 | 16 | 2022 |
| Applied Deep Learning P Fergus, C Chalmers Computational Intelligence Methods and Applications, 1-341, 2022 | 16 | 2022 |
| Identifying behavioural changes for health monitoring applications using the advanced metering infrastructure C Chalmers, W Hurst, M Mackay, P Fergus Behaviour & information technology 38 (11), 1154-1166, 2019 | 16 | 2019 |
Paul FergusProfessor of Machine Learning at Liverpool John Moores UniversityVerified email at ljmu.ac.uk
