CC
Carl Chalmers
cs.LGcs.AIcs.CVstat.MLcs.CYMachine Learningcs.CEeess.SPq-bio.GNcs.SD
On Valency
published · living versionsW_wbz6kv23·v1 · currentpublished
Efficient Passive Acoustic Monitoring of Killer Whales Using a Two-Stage Detection and Ecotype Classification Cascade
with Daniela Ruiz, Manuel Castellote, Zhongqi Miao, Bruno Demuro +3
1 version
Preprints & journals
28 papers in the corpus · 2017–2026Efficient Passive Acoustic Monitoring of Killer Whales Using a Two-Stage Detection and Ecotype Classification Cascade2609.01792v1 · Daniela Ruiz, Manuel Castellote, Zhongqi Miao et al.2026 · 0 citationsarXivon Valency
Project SPARROW and the Future of Conservation Technology2606.00108v1 · Juan M. Lavista Ferres, Carl Chalmers, Bruno Demuro Segundo et al.2026 · 0 citationsarXiv
Comparison of a computer vision model to a human observer in detecting African mammals in camera trap images within a safari park10.1101/2025.06.02.656988v1 · Davies Walsh, N., Chalmers, C., Fergus, P. et al.2025 · 0 citationsbioRxiv
Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data.39771857 · Fergus, Paul, Chalmers, Carl, Matthews, Naomi et al.2025 · 8 citationsSensors (Basel, Switzerland). 2024;24(24)
AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv102411.15263v1 · Carl Chalmers, Paul Fergus, Serge Wich et al.2024 · 14 citationsarXiv
Harnessing Artificial Intelligence for Wildlife Conservation2409.10523v1 · Paul Fergus, Carl Chalmers, Steve Longmore et al.2024 · 55 citationsarXiv
Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning2305.02097v1 · Carl Chalmers, Paul Fergus, Serge Wich et al.2023 · 38 citationsarXiv
Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation using Deep Learning and 3/4G Camera Traps2304.12703v1 · Paul Fergus, Carl Chalmers, Steven Longmore et al.2023 · 25 citationsarXiv
Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning.35891075 · Westworth, Sally O A, Chalmers, Carl, Fergus, Paul et al.2022 · 14 citationsSensors (Basel, Switzerland). 2022;22(14)
Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors.35590855 · Givnan, Sean, Chalmers, Carl, Fergus, Paul et al.2022 · 91 citationsSensors (Basel, Switzerland). 2022;22(9)
Pressure Ulcer Categorisation using Deep Learning: A Clinical Trial to Evaluate Model Performance2203.06248v1 · Paul Fergus, Carl Chalmers, William Henderson et al.2022 · 6 citationsarXiv
Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence2202.02283v1 · Juliana V'elez, Paula J. Castiblanco-Camacho, Michael A. Tabak et al.2022 · 4 citationsarXiv
Real-Time Predictive Maintenance using Autoencoder Reconstruction and Anomaly Detection2110.01447v1 · Sean Givnan, Carl Chalmers, Paul Fergus et al.2021 · 1 citationarXiv
An Evaluation of the Factors Affecting 'Poacher' Detection with Drones and the Efficacy of Machine-Learning for Detection.34199208 · Doull, Katie E, Chalmers, Carl, Fergus, Paul et al.2021 · 36 citationsSensors (Basel, Switzerland). 2021;21(12)
Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning2103.07276v1 · C. Chalmers, P.Fergus, S. Wich et al.2021 · 32 citationsarXiv
BMI: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters2002.12899v1 · P. Fergus, C. Chalmers2020 · 0 citationsarXiv
Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network2002.00833v1 · Steven Thompson, Paul Fergus, Carl Chalmers et al.2020 · 24 citationsarXiv
Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology1910.07360v1 · C. Chalmers, P.Fergus, Serge Wich et al.2019 · 19 citationsarXiv
SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity1908.10166v1 · Casimiro Aday Curbelo Montanez, Paul Fergus, Carl Chalmers et al.2019 · 11 citationsarXiv
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes1908.02338v2 · Paul Fergus, Carl Chalmers, Casimiro Curbelo Montanez et al.2019 · 51 citationsarXiv
Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation1903.12080v1 · C. Chalmers, P.Fergus, C. Aday Curbelo Montanez et al.2019 · 79 citationsarXiv
Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.30183645 · Fergus, Paul, Montanez, Casimiro Curbelo, Abdulaimma, Basma et al.2021 · 40 citationsIEEE/ACM transactions on computational biology and bioinformatics. 2020;17(2):668-678
Extracting Epistatic Interactions in Type 2 Diabetes Genome-Wide Data Using Stacked Autoencoder1808.09517v1 · Basma Abdulaimma, Paul Fergus, Carl Chalmers2018 · 0 citationsarXiv
Collaborative Pressure Ulcer Prevention: An Automated Skin Damage and Pressure Ulcer Assessment Tool for Nursing Professionals, Patients, Family Members and Carers1808.06503v1 · Paul Fergus, Carl Chalmers, David Tully2018 · 2 citationsarXiv
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data1804.06262v2 · Casimiro A. Curbelo Montanez, Paul Fergus, Carl Chalmers et al.2018 · 8 citationsarXiv
Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs1804.03198v2 · Casimiro Adays Curbelo Montanez, Paul Fergus, Almudena Curbelo Montanez et al.2018 · 52 citationsarXiv
Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women1801.02977v1 · Paul Fergus, Casimiro Curbelo Montanez, Basma Abdulaimma et al.2018 · 5 citationsarXiv
Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces.29248699 · Fergus, Paul, Selvaraj, Malarvizhi, Chalmers, Carl2019 · 104 citationsComputers in biology and medicine. 2018;93:7-16
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