A. Guisan and N. E. Zimmermann, Predictive habitat distribution models in ecology, Ecological Modelling, vol.135, issue.2, pp.147-186, 2000.

G. Antoine and T. Wilfried, Predicting species distribution: offering more than simple habitat models, Ecology Letters, vol.8, issue.9, pp.993-1009, 2005.

A. Miguel, B. , and G. Antoine, Five (or so) challenges for species distribution modelling, Journal of Biogeography, vol.33, issue.10, pp.1677-1688, 2006.

J. Elith, C. H. Graham, R. P. Anderson, M. Dudík, S. Ferrier et al., Novel methods improve prediction of species' distributions from occurrence data, Ecography, vol.29, issue.2, pp.129-151, 2006.

J. Franklin, Mapping species distributions: spatial inference and prediction, 2010.

A. T. Peterson, Ecological niches and geographic distributions, 2011.

A. Ferrarini, H. S. Mohammed, J. Alsafran, J. M. Dai, and . Alatalo, Improving niche projections of plant species under climate change: Silene acaulis on the british isles as a case study, Climate Dynamics, vol.52, issue.3, pp.1413-1423, 2019.

P. Botella, A. Joly, and F. Munoz, A deep learning approach to species distribution modelling. Multimedia Technologies for Environmental & Biodiversity Informatics, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01834227

L. J. Pollock, R. Tingley, W. K. Morris, N. Golding, R. B. O'hara et al., Understanding co-occurrence by modelling species simultaneously with a joint species distribution model (jsdm), Methods in Ecology and Evolution, vol.5, issue.5, pp.397-406, 2014.

B. Deneu, M. Servajean, C. Botella, and A. Joly, Location-based species recommendation using co-occurrences and environment-geolifeclef 2018 challenge, CLEF working notes 2018, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01913241

C. Botella, P. Bonnet, and A. Joly, Overview of geolifeclef 2018: location-based species recommendation, CLEF working notes 2018, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01913238

A. Joly, . Goëau, . Hervé, C. Botella, . Glotin et al., Overview of lifeclef 2018: a large-scale evaluation of species identification and recommendation algorithms in the era of ai, Proceedings of CLEF 2018, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01913231

C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna, Rethinking the inception architecture for computer vision, 2015.

D. , R. Cutler, T. C. Edwards, H. Karen, A. Beard et al., Random forests for classification in ecology, Ecology, vol.88, issue.11, pp.2783-2792, 2007.

S. Gobeyn, M. Ans, A. F. Mouton, A. Cord, M. Kaim et al., Evolutionary algorithms for species distribution modelling: A review in the context of machine learning, Ecological Modelling, vol.392, pp.179-195, 2019.

V. Nair and G. E. Hinton, Rectified linear units improve restricted boltzmann machines, Proceedings of the 27th international conference on machine learning (ICML-10), pp.807-814, 2010.

S. Ioffe and C. Szegedy, Batch normalization: Accelerating deep network training by reducing internal covariate shift, International Conference on Machine Learning, pp.448-456, 2015.