| A deep learning method for accurate and fast identification of coral reef fishes in underwater images S Villon, D Mouillot, M Chaumont, ES Darling, G Subsol, T Claverie, ... Ecological informatics 48, 238-244, 2018 | 238 | 2018 |
| Coral reef fish detection and recognition in underwater videos by supervised machine learning: Comparison between Deep Learning and HOG+ SVM methods S Villon, M Chaumont, G Subsol, S Villéger, T Claverie, D Mouillot International Conference on Advanced Concepts for Intelligent Vision Systems …, 2016 | 165 | 2016 |
| Automatic underwater fish species classification with limited data using few-shot learning S Villon, C Iovan, M Mangeas, T Claverie, D Mouillot, S Villéger, L Vigliola Ecological Informatics 63, 101320, 2021 | 47 | 2021 |
| A new method to control error rates in automated species identification with deep learning algorithms S Villon, D Mouillot, M Chaumont, G Subsol, T Claverie, S Villéger Scientific reports 10 (1), 10972, 2020 | 47 | 2020 |
| Confronting deep-learning and biodiversity challenges for automatic video-monitoring of marine ecosystems S Villon, C Iovan, M Mangeas, L Vigliola Sensors 22 (2), 497, 2022 | 22 | 2022 |
| Leveraging social media and deep learning to detect rare megafauna in video surveys L Mannocci, S Villon, M Chaumont, N Guellati, N Mouquet, C Iovan, ... Conservation Biology 36 (1), e13798, 2022 | 19 | 2022 |
| Automatic underwater fish species classification with limited data using few-shot learning. Ecol Inform 63: 101320 S Villon, C Iovan, M Mangeas, T Claverie, D Mouillot, S Villeger, L Vigliola | 2 | 2021 |
| Toward an artificial intelligence-assisted counting of sharks on baited video S Villon, C Iovan, M Mangeas, L Vigliola Ecological Informatics 80, 102499, 2024 | 1 | 2024 |
| A deep learning algorithm for automatic identification of coral reef fish species on images S Villon, D Mouillot, M Chaumont, E Darling, G Subsol, T Claverie, ... WCMB: World Conference on Marine Biodiversity, 2018 | 1 | 2018 |
| Automatic detection, identification and counting of deep-water snappers on underwater baited video using deep learning F Baletaud, S Villon, A Gilbert, JM Côme, S Fiat, C Iovan, L Vigliola Frontiers in Marine Science 12, 2025 | | 2025 |
| Improving CNN Fish Detection and Classification with Tracking B Zouin, J Zahir, F Baletaud, L Vigliola, S Villon Applied Sciences 14 (22), 10122, 2024 | | 2024 |
| Artificial Intelligence and Social Networks Can Help to Protect the Famous Dugong L Mannocci, F Carcaillet, M Chaumont, B Givord-Coupeau, C Iovan, ... Frontiers for Young Minds 10, 2022 | | 2022 |
| Coupling underwater autonomous vehicles and automatic video analysis for efficient monitoring of coral reef ecosystems: promises and challenges T Claverie, M Chaumont, K Godary-Dejean, A Hereau, L Lapierre, S Louis, ... ICRS 2021-15th International Coral Reef Symposium, 2021 | | 2021 |
| Estimation automatisée sur vidéos de la biodiversité et de l’abondance des poissons coralliens S Villon Université Montpellier, 2019 | | 2019 |
| Investigating techniques from the 2000’s for class model extraction M Huchard, I Ammar, A Bedja-Boana, J Carbonnel, T Chartier, F Fallavier, ... | | 2014 |
| Class model extraction from procedural code: Confronting a few ideas from the 2000’s against the reality of an industrial system M Huchard, I Ammar, AB Boana, J Carbonnel, T Chartier, F Fallavier, J Ly, ... SATToSE 2014—Pre-proceedings, 49, 2014 | | 2014 |
| Investigating techniques from the 2000’s for class model extraction from VB code and SQL procedures M Huchard, I Ammar, A Bedja-Boana, J Carbonnel, T Chartier, F Fallavier, ... | | |
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