Using Deep Learning in the Ecology Field

[1]. Abrams, J. F., A. Vashishtha et al., 2019. Habitat-Net: Segmentation of habitat images using deep learning. Ecological informatics 51, 121-128. [2]. Anses, 2020. La saison de cueillette des champignons commence : restez vigilants face aux risques d’intoxications ! [3]. Ärje, J., C. Melvad et al., 2020. Automatic image-based identification and biomass estimation of invertebrates. Methods in Ecology and Evolution. [4]. Baraniuk, R., D. Donoho & M. Gavish, 2020. The science of deep learning. Proceedings of the National Academy of Sciences 117, 30029-30032. [5]. Beery, S., D. Morris & S. Yang, 2019. Efficient pipeline for camera trap image review. arXiv preprint arXiv:1907.06772. [6]. Beery, S., G. Van Horn & P. Perona. Recognition in terra incognita. Proceedings of the European Conference on Computer Vision (ECCV), 456-473. [7]. Bellman, R., 1966. Dynamic programming. Science 153, 34-37. [8]. Bogucki, R., M. Cygan et al., 2019. Applying deep learning to right whale photo identification. Conservation Biology 33, 676-684. [9]. Bolger, D. T., T. A. Morrison et al., 2012. A computer-assisted system for photographic mark--recapture analysis. Methods in Ecology and Evolution 3, 813-822. [10]. Brodrick, P. G., A. B. Davies & G. P. Asner, 2019. Uncovering ecological patterns with convolutional neural networks. Trends in ecology and evolution 34, 734- [11]. Charpentier, M. J. E., M. Harté et al., 2020. Same father, same face: Deep learning reveals selection for signaling kinship in a wild primate. Science Advances 6, eaba3274-eaba3274. [12]. Christin, S., É. Hervet & N. Lecomte, 2019. Applications for deep learning in ecology. Methods in Ecology and Evolution 10, 1632-1644. [13]. Duporge, I., O. Isupova et al., 2020. Using very-high-resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes. Remote Sensing in Ecology and Conservation. [14]. Dutta, A. & A. Zisserman, 2019. The VIA annotation software for images, audio and video Proceedings of the 27th ACM International Conference on Multimedia:2276- [15]. Ferreira, A. C., L. R. Silva et al., 2020. Deep learning-based methods for individual recognition in small birds. Methods in Ecology and Evolution. [16]. Graving, J. M., D. Chae et al., 2019. DeepPoseKit, a software toolkit for fast and robust animal pose [17]. estimation using deep learning. eLife 8, e47994-e47994. Guirado, E., S. Tabik et al., 2019. Whale counting in satellite and aerial images with deep learning. Scientific Reports 9, 1-12. Huang, H., H. Zhou, X. Yang, L. Zhang, L. Qi & A.-Y. Zang, 2019. Faster R-CNN for marine organisms detection and recognition using data augmentation. Neurocomputing 337, 372-384. [18]. Jin, H., Q. Song & X. Hu. Auto-keras: An efficient neural architecture search system. Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,1946-1956