Forest ecology and managementFish Ecology and Management StudiesEcology and Vegetation Dynamics StudiesAerospace, Electronics, Mathematical ModelingFish biology, ecology, and behaviorUrban and spatial planningIchthyology and Marine Biology
deep-ctr-prediction产品(qiaoguan/deep-ctr-prediction)
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Python★ 938
Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models论文
Journal of the Royal Statistical Society Series B (Statistical Methodology)2020引用: 1.3K
<i>SDMtune</i>: An R package to tune and evaluate species distribution models论文
Ecology and Evolution2020引用: 254
Hierarchical generalized additive models in ecology: an introduction with mgcv论文
PeerJ2019引用: 1.1K
Finding latent groups in observed data: A primer on latent profile analysis in Mplus for applied researchers论文
International Journal of Behavioral Development2019引用: 802
Analysing continuous proportions in ecology and evolution: A practical introduction to beta and Dirichlet regression论文
Methods in Ecology and Evolution2019引用: 709
Outstanding Challenges in the Transferability of Ecological Models论文
Trends in Ecology & Evolution2018引用: 743
dispRity: A modular R package for measuring disparity论文
Methods in Ecology and Evolution2018引用: 253
knitr: A Comprehensive Tool for Reproducible Research in R论文
2018引用: 239
A protocol for conducting and presenting results of regression‐type analyses论文
Methods in Ecology and Evolution2016引用: 823
Statistical Learning with Sparsity: The Lasso and Generalizations论文
International Statistical Review2016引用: 764
<i>Open<scp>MEE</scp></i>: Intuitive, open‐source software for meta‐analysis in ecology and evolutionary biology论文
Methods in Ecology and Evolution2016引用: 408
The relative performance of AIC, AIC<sub>C</sub>and BIC in the presence of unobserved heterogeneity论文
Methods in Ecology and Evolution2016引用: 337
letsR: a new R package for data handling and analysis in macroecology论文
Methods in Ecology and Evolution2015引用: 270
The effect of splitting on random forests论文
Machine Learning2014引用: 231
In defense of <i>P</i> values论文
Ecology2014引用: 312
taxize: taxonomic search and retrieval in R论文
F1000Research2013引用: 269
Understanding variable importances in forests of randomized trees论文
Open Repository and Bibliography (University of Liège)2013引用: 806
marmap: A Package for Importing, Plotting and Analyzing Bathymetric and Topographic Data in R论文
PLoS ONE2013引用: 633
taxize: taxonomic search and retrieval in R论文
F1000Research2013引用: 561
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