| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A comparison of statistical and machine learning models for spatio-temporal prediction of ambient air pollutant concentrations in Scotland
|
Zhu, Qiangqiang
|
|
|
31 |
4 |
p. 1085-1108
|
artikel
|
| 2 |
A hierarchical Bayesian model to monitor pelagic larvae in response to environmental changes
|
Granata, Alessia
|
|
|
31 |
4 |
p. 865-892
|
artikel
|
| 3 |
A modified machine learning algorithm for multi-collinearity environmental data
|
Tian, Haitao
|
|
|
31 |
4 |
p. 1063-1083
|
artikel
|
| 4 |
A novel hybrid approach based on outlier and error correction methods to predict river discharge using meteorological variables
|
Shabbir, Maha
|
|
|
31 |
4 |
p. 921-948
|
artikel
|
| 5 |
Bayesian design methods for improving the effectiveness of ecosystem monitoring
|
Thilan, A. W. L. Pubudu
|
|
|
31 |
4 |
p. 893-919
|
artikel
|
| 6 |
Correction: A pre‑whitening with block‑bootstrap cross‑correlation procedure for temporal alignment of data sampled by eddy covariance systems
|
Vitale, Domenico
|
|
|
31 |
4 |
p. 1109-1110
|
artikel
|
| 7 |
Efficient estimation of the volume under the ROC surface using auxiliary ranks information
|
Nasr Esfahani, Samira
|
|
|
31 |
4 |
p. 1039-1062
|
artikel
|
| 8 |
Health effects of noise and application of machine learning techniques as prediction tools in noise induced health issues: a systematic review
|
Das, Chidananda Prasad
|
|
|
31 |
4 |
p. 949-975
|
artikel
|
| 9 |
Identifying key drivers of extinction for Chitala populations: data-driven insights from an intraguild predation model using a Bayesian framework
|
Mestry, Dipali Vasudev
|
|
|
31 |
4 |
p. 1009-1037
|
artikel
|
| 10 |
Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers
|
Retegui, Garazi
|
|
|
31 |
4 |
p. 977-1007
|
artikel
|
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