Fergus, P, Chalmers, C, Longmore, S and Wich, S (2024) Harnessing Artificial Intelligence for Wildlife Conservation. Conservation, 4 (4). pp. 685-702.

Kissling, WD, Evans, JC, Zilber, R, Breeze, TD, Shinneman, S, Schneider, LC, Chalmers, C, Fergus, P, Wich, SA and Geelen, LHWT (2024) Development of a cost-efficient automated wildlife camera network in a European Natura 2000 site. Basic and Applied Ecology, 79. pp. 141-152. ISSN 1439-1791

Thompson, S, Reilly, D, Fergus, P and Chalmers, C (2023) Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural Network. IEEE Access, 12. pp. 1076-1091.

Fergus, P, Chalmers, C, Henderson, W, Roberts, D and Waraich, A (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, 11. pp. 65138-65152. ISSN 2169-3536

Fergus, P, Chalmers, C, Longmore, SN, Wich, S, Warmenhove, C, Swart, J, Ngongwane, T, Burger, A, Ledgard, J and Meijaard, E (2023) Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep Learning and 3/4G Camera Traps. Remote Sensing, 15 (11). ISSN 2072-4292

Chalmers, C, Fergus, P, Wich, SA, Longmore, SN, Walsh, ND, Stephens, PA, Sutherland, C, Matthews, N, Mudde, J and Nuseibeh, A (2023) Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning. Remote Sensing, 15 (10). p. 2638.

Vélez, J, McShea, W, Shamon, H, Castiblanco-Camacho, PJ, Tabak, MA, Chalmers, C, Fergus, P and Fieberg, J (2022) An evaluation of platforms for processing camera-trap data using artificial intelligence. Methods in Ecology and Evolution, 14 (2). pp. 459-477. ISSN 2041-210X

Westworth, SOA, Chalmers, C, Fergus, P, Longmore, SN, Piel, AK and Wich, SA (2022) Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning. Sensors, 22 (14). p. 5386.

Reilly, D, Taylor, M, Fergus, P, Chalmers, C and Thompson, S (2022) The Categorical Data Conundrum: Heuristics for Classification Problems A Case Study on Domestic Fire Injuries. IEEE Access, 10. pp. 70113-70125.

Givnan, S, Chalmers, C, Fergus, P, Ortega-martorell, S and Whalley, T (2022) Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors. Sensors, 22 (9). p. 3166. ISSN 1424-8220

Fergus, P and Chalmers, C (2021) Energy Sobriety: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters. In: Towards Energy Smart Homes: Algorithms, Technologies and Applications. Springer, pp. 21-47. ISBN 978-3-030-76476-0

Chalmers, C and Fergus, P (2021) Energy Sobriety: A Behaviour Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters. In: Towards Energy Smart Homes Algorithms, Technologies, and Applications. Springer Nature, pp. 21-47. ISBN 9783030764777

Piel, AK, Crunchant, AS, Knot, IE, Chalmers, C, Fergus, P, Mulero-Pázmány, M and Wich, SA (2021) Noninvasive Technologies for Primate Conservation in the 21st Century. International Journal of Primatology. ISSN 0164-0291

Chalmers, C, Fergus, P, Wich, SA and Longmore, SN (2021) Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning. In: International Joint Conference on Neural Networks . (International Joint Conference on Neural Networks Virtual Event, 18-22 July 2021, Virtual Event).

Doull, KE, Chalmers, C, Fergus, P, Longmore, SN, Piel, AK and Wich, SA (2021) An Evaluation of the Factors Affecting 'Poacher' Detection with Drones and the Efficacy of Machine-Learning for Detection. Sensors, 21 (12). ISSN 1424-8220

Chalmers, C, Fergus, P, Curbelo Montañez, CA, Longmore, SN and Wich, SA (2021) Video Analysis for the Detection of Animals Using Convolutional Neural Networks and Consumer-Grade Drones. Journal of Unmanned Vehicle Systems. ISSN 2291-3467

Reilly, D, Taylor, MJ, Fergus, P, Chalmers, C and Thompson, S (2021) Misper-Bayes: A Bayesian Network Model for Missing Person Investigations. IEEE Access, 9. pp. 49990-50000. ISSN 2169-3536

Fergus, P, Chalmers, C, Montañez, CC, Reilly, D, Lisboa, P and Pineles, B (2020) Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. IEEE Transactions on Emerging Topics in Computational Intelligence. ISSN 2471-285X

Montenaz, C, Fergus, P, Chalmers, C, Malim, N, Abdulaimma, B, Reilly, D and falciani, F (2020) SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. IEEE Access. ISSN 2169-3536

Chalmers, C, Fergus, P, Curbelo Montanez, A, Sikdar, S, Ball, F and Bryoney, K (2020) Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation. IEEE Transactions on Emerging Topics in Computing, 10 (1). pp. 157-169. ISSN 2168-6750

Chalmers, C, Hurst, W, MacKay, M and Fergus, P (2019) Identifying Behavioural Changes for Health Monitoring Applications using the Advanced Metering Infrastructure. Behaviour and Information Technology. ISSN 1362-3001

Al-Khafajiy, M, Baker, T, Chalmers, C, Asim, M, Kolivand, H, Fahim, M and Waraich, A (2019) Remote Health Monitoring of Elderly Through Wearable Sensors. Multimedia Tools and Applications. ISSN 1380-7501

Curbelo Montañez, CA, Fergus, P, Montañez, AC, Hussain, A, Al-Jumeily, D and Chalmers, C (2018) Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. In: 2018 International Joint Conference on Neural Networks (IJCNN) . (IEEE World Congress on Computational Intelligence, 8th - 13th July 2018, Rio de Janeiro, Brazil).

Fergus, P, Montanez, C, Abdulaimma, B, Lisboa, P, Chalmers, C and Pineless, B (2018) Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. IEEE/ACM Transactions on Computational Biology and Bioinformatics. ISSN 1545-5963

Fergus, P, Selvaraj, M and Chalmers, C (2017) Machine learning Ensemble Modelling to classify caesarean section and vaginal delivery types using cardiotocography traces. Computers in Biology and Medicine, 93 (1). pp. 7-16. ISSN 0010-4825

Chalmers, C (2017) Adaptive Health Monitoring Using Aggregated Energy Readings from Smart Meters. Doctoral thesis, Liverpool John Moores University.

Chalmers, C, Hurst, W, MacKay, M and Fergus, P (2016) Smart Monitoring: An Intelligent System to Facilitate Health Care across an Ageing Population. In: EMERGING 2016: The Eighth International Conference on Emerging Networks and Systems Intelligence . pp. 34-39. (The Eighth International Conference on Emerging Networks and Systems Intelligence, 09 October 2016 - 12 October 2016, Venice, Italy).

Chalmers, C, Hurst, W, MacKay, M and Fergus, P (2016) A Smart Health Monitoring Technology. In: Lecture Notes in Computer Science: Intelligent Computing Theories and Application , 9771. pp. 832-842. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

Chalmers, C, Hurst, W, MacKay, M and Fergus, P (2015) Profiling Users in the Smart Grid. In: Emerging 2015: The Seventh International Conference on Emerging Neworks and Systems Intelligence . (EMERGING 2015: Seventh International Conference on Emerging Networks and Systems Intelliegence, 19th - 24th July 2015, Nice, France).

Chalmers, C, Hurst, W, Fergus, P and MacKay, M (2015) Smart Meter Profiling for Health Applications. In: 2015 International Joint Conference on Neural Networks (IJCNN) . (2015 International Joint Conference on Neural Networks (IJCNN), 12th - 17th Jul 2015, Killarney, Ireland).

Thompson, S, Fergus, P, Chalmers, C and Reilly, D Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network. In: IEEE Explore . (IEEE World Congress on Computational Intelligence (WCCI) 2020, 19-24th July 2020, Virtual Online Conference). (Accepted)

Mwansa, M, Hurst, W, Chalmers, C, Shen, Y and Boddy, A A Study into Smart Grid Consumer-User Profiling for Security Applications. In: The Ninth International Conference on Cloud Computing, GRIDs, and Virtualization CLOUD COMPUTING 2018, 18 February 2018 - 22 February 2018, Barcelona. (Unpublished)