| Automating the analysis of fish abundance using object detection: optimizing animal ecology with deep learning EM Ditria, S Lopez-Marcano, M Sievers, EL Jinks, CJ Brown, ... Frontiers in Marine Science 7, 429, 2020 | 126 | 2020 |
| Automatic detection of fish and tracking of movement for ecology S Lopez‐Marcano, E L Jinks, CA Buelow, CJ Brown, D Wang, B Kusy, ... Ecology and Evolution 11 (12), 8254-8263, 2021 | 50 | 2021 |
| Annotated video footage for automated identification and counting of fish in unconstrained seagrass habitats EM Ditria, RM Connolly, EL Jinks, S Lopez-Marcano Frontiers in Marine Science 8, 629485, 2021 | 33 | 2021 |
| Deep learning for automated analysis of fish abundance: the benefits of training across multiple habitats EM Ditria, M Sievers, S Lopez-Marcano, EL Jinks, RM Connolly Environmental Monitoring and Assessment 192, 1-8, 2020 | 33 | 2020 |
| Improved accuracy for automated counting of a fish in baited underwater videos for stock assessment RM Connolly, DV Fairclough, EL Jinks, EM Ditria, G Jackson, ... Frontiers in Marine Science 8, 658135, 2021 | 29 | 2021 |
| Automating the analysis of fish grazing behaviour from videos using image classification and optical flow EM Ditria, EL Jinks, RM Connolly Animal Behaviour 177, 31-37, 2021 | 21 | 2021 |
| Out of the shadows: Automatic fish detection from acoustic cameras RM Connolly, KI Jinks, A Shand, MD Taylor, TF Gaston, A Becker, ... Aquatic Ecology 57 (4), 833-844, 2023 | 9 | 2023 |
| Computer vision reveals fish behaviour through structural equation modelling of movement patterns S Lopez-Marcano, MP Turschwell, CJ Brown, EL Jinks, D Wang, ... | 2 | 2022 |
Sebastian Lopez-MarcanoEnvironmental Data Scientist at Griffith UniversityVerifisert e-postadresse på griffith.edu.au
