| Review and comparison of methods to study the contribution of variables in artificial neural network models M Gevrey, I Dimopoulos, S Lek Ecological modelling 160 (3), 249-264, 2003 | 1539 | 2003 |
| Artificial neural networks as a tool in ecological modelling, an introduction S Lek, JF Guégan Ecological modelling 120 (2-3), 65-73, 1999 | 1112 | 1999 |
| Application of neural networks to modelling nonlinear relationships in ecology S Lek, M Delacoste, P Baran, I Dimopoulos, J Lauga, S Aulagnier Ecological modelling 90 (1), 39-52, 1996 | 914 | 1996 |
| Uncertainty in ensemble forecasting of species distribution L Buisson, W Thuiller, N Casajus, S Lek, G Grenouillet Global Change Biology 16 (4), 1145-1157, 2010 | 697 | 2010 |
| Applications of artificial neural networks for patterning and predicting aquatic insect species richness in running waters YS Park, R Céréghino, A Compin, S Lek Ecological modelling 160 (3), 265-280, 2003 | 484 | 2003 |
| Energy availability and habitat heterogeneity predict global riverine fish diversity JF Guégan, S Lek, T Oberdorff Nature 391 (6665), 382-384, 1998 | 421 | 1998 |
| A comparison of self-organizing map algorithm and some conventional statistical methods for ecological community ordination JL Giraudel, S Lek Ecological Modelling 146 (1-3), 329-339, 2001 | 413 | 2001 |
| Ensemble modelling of species distribution: the effects of geographical and environmental ranges G Grenouillet, L Buisson, N Casajus, S Lek Ecography 34 (1), 9-17, 2011 | 390 | 2011 |
| Climate change hastens the turnover of stream fish assemblages LËT Buisson, W Thuiller, S Lek, PUY Lim, GËL Grenouillet Global Change Biology 14 (10), 2232-2248, 2008 | 374 | 2008 |
| Conservation strategies for endemic fish species threatened by the Three Gorges Dam YS PARK, J Chang, S Lek, W Cao, S Brosse Conservation biology 17 (6), 1748-1758, 2003 | 332 | 2003 |
| Use of some sensitivity criteria for choosing networks with good generalization ability Y Dimopoulos, P Bourret, S Lek Neural Processing Letters 2, 1-4, 1995 | 326 | 1995 |
| Artificial neural networks: Multilayer perceptron for ecological modeling YS Park, S Lek Developments in environmental modelling 28, 123-140, 2016 | 300 | 2016 |
| Artificial neuronal networks: application to ecology and evolution S Lek, JF Guégan Springer Science & Business Media, 2012 | 269 | 2012 |
| Neural network models to study relationships between lead concentration in grasses and permanent urban descriptors in Athens city (Greece) I Dimopoulos, J Chronopoulos, A Chronopoulou-Sereli, S Lek Ecological modelling 120 (2-3), 157-165, 1999 | 218 | 1999 |
| Hierarchical community classification and assessment of aquatic ecosystems using artificial neural networks YS Park, TS Chon, IS Kwak, S Lek Science of the total Environment 327 (1-3), 105-122, 2004 | 198 | 2004 |
| Role of some environmental variables in trout abundance models using neural networks S Lek, A Belaud, P Baran, I Dimopoulos, M Delacoste Aquatic Living Resources 9 (1), 23-29, 1996 | 198 | 1996 |
| Applications of artificial neural networks predicting macroinvertebrates in freshwaters PLM Goethals, AP Dedecker, W Gabriels, S Lek, N De Pauw Aquatic Ecology 41, 491-508, 2007 | 184 | 2007 |
| The use of artificial neural networks to predict the presence of small‐bodied fish in a river S Mastrorillo, S Lek, F Dauba, A Belaud Freshwater biology 38 (2), 237-246, 1997 | 176 | 1997 |
| The use of artificial neural networks to assess fish abundance and spatial occupancy in the littoral zone of a mesotrophic lake S Brosse, JF Guegan, JN Tourenq, S Lek Ecological modelling 120 (2-3), 299-311, 1999 | 171 | 1999 |
| Statistical downscaling of river flows C Tisseuil, M Vrac, S Lek, AJ Wade Journal of Hydrology 385 (1-4), 279-291, 2010 | 166 | 2010 |
