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Uncertainty in ensemble forecasting of species distribution
- L. Buisson, W. Thuiller, Nicolas Casajus, S. Lek, G. Grenouillet
- Environmental Science
- 1 April 2010
Species distribution modelling has been widely applied in order to assess the potential impacts of climate change on biodiversity. Many methodological decisions, taken during the modelling process…
Review and comparison of methods to study the contribution of variables in artificial neural network models
- M. Gevrey, I. Dimopoulos, S. Lek
- Computer Science
- 15 February 2003
Application of neural networks to modelling nonlinear relationships in ecology
- S. Lek, M. Delacoste, P. Baran, I. Dimopoulos, J. Lauga, S. Aulagnier
- Environmental Science
- 1 September 1996
Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters
- Young‐Seuk Park, R. Céréghino, A. Compin, S. Lek
- Environmental Science
- 15 February 2003
A comparison of self-organizing map algorithm and some conventional statistical methods for ecological community ordination
- J. Giraudel, S. Lek
- Computer Science
- 1 December 2001
Applications of artificial neural networks predicting macroinvertebrates in freshwaters
- P. Goethals, A. Dedecker, W. Gabriels, S. Lek, N. Pauw
- Environmental ScienceAquatic Ecology
- 9 May 2007
TLDR
Conservation Strategies for Endemic Fish Species Threatened by the Three Gorges Dam
- Young‐Seuk Park, Jianbo Chang, S. Lek, W. Cao, S. Brosse
- Environmental Science
- 1 December 2003
Abstract: The largest damming project to date, the Three Gorges Dam has been built along the Yangtze River (China), the most species‐rich river in the Palearctic region. Among 162 species of fish…
Use of some sensitivity criteria for choosing networks with good generalization ability
- Yannis Dimopoulos, P. Bourret, S. Lek
- Mathematics, Computer ScienceNeural Processing Letters
- 1 December 1995
TLDR
Climate change hastens the turnover of stream fish assemblages
- L. Buisson, W. Thuiller, S. Lek, P. Lim, G. Grenouillet
- Environmental Science
- 1 October 2008
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