Carl Chalmers
Orcid: 0000-0003-0822-1150
According to our database1,
Carl Chalmers
authored at least 40 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural Network.
IEEE Access, 2024
2023
Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep Learning and 3/4G Camera Traps.
Remote. Sens., 2023
Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning.
Remote. Sens., 2023
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, 2023
2022
Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation.
IEEE Trans. Emerg. Top. Comput., 2022
Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning.
Sensors, 2022
Sensors, 2022
Pressure Ulcer Categorisation using Deep Learning: A Clinical Trial to Evaluate Model Performance.
CoRR, 2022
Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence.
CoRR, 2022
The Categorical Data Conundrum: Heuristics for Classification Problems - A Case Study on Domestic Fire Injuries.
IEEE Access, 2022
Springer, ISBN: 978-3-031-04419-9, 2022
2021
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., 2021
An Evaluation of the Factors Affecting 'Poacher' Detection with Drones and the Efficacy of Machine-Learning for Detection.
Sensors, 2021
Real-Time Predictive Maintenance using Autoencoder Reconstruction and Anomaly Detection.
CoRR, 2021
IEEE Access, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
BMI: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters.
CoRR, 2020
SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity.
IEEE Access, 2020
Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Deep Learning and Genome-Wide Association Studies for the Classification of Type 2 Diabetes.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Multim. Tools Appl., 2019
Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology.
CoRR, 2019
Identifying behavioural changes for health monitoring applications using the advanced metering infrastructure.
Behav. Inf. Technol., 2019
2018
Extracting Epistatic Interactions in Type 2 Diabetes Genome-Wide Data Using Stacked Autoencoder.
CoRR, 2018
Collaborative Pressure Ulcer Prevention: An Automated Skin Damage and Pressure Ulcer Assessment Tool for Nursing Professionals, Patients, Family Members and Carers.
CoRR, 2018
Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.
CoRR, 2018
Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces.
Comput. Biol. Medicine, 2018
Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Robust Interpretation of Genomic Data in Chronic Obstructive Pulmonary Disease (COPD).
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2018
2017
PhD thesis, 2017
A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets.
Proceedings of the Intelligent Computing Theories and Application, 2017
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017
2016
Proceedings of the Intelligent Computing Theories and Application, 2016
2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015