dr. Jernej Jevšenak [39600]

1. JEVŠENAK, Jernej, GORŠIĆ, Ernest, STOJANOVIĆ, Dejan, MATOVIĆ, Bratislav, LEVANIČ, Tom. Sapwood characteristics of Quercus robur species from the south-western part of the Pannonian Basin. Dendrochronologia. 2019, vol. 54, str. 64-70, ilustr. ISSN 1125-7865. https://doi.org/10.1016/j.dendro.2019.02.006, DOI: 10.1016/j.dendro.2019.02.006. [COBISS.SI-ID 5319334]

2. JEVŠENAK, Jernej, LEVANIČ, Tom, DŽEROSKI, Sašo. Comparison of an optimal regression method for climate reconstruction with the compare_methods() function from the dendroTools R package. Dendrochronologia. 2018, vol. 52, str. 96-104, ilustr. ISSN 1125-7865. https://doi.org/10.1016/j.dendro.2018.10.001, DOI: 10.1016/j.dendro.2018.10.001. [COBISS.SI-ID 5224102]

3. JEVŠENAK, Jernej, DŽEROSKI, Sašo, LEVANIČ, Tom. Predicting the vessel lumen area tree-ring parameter of Quercus robur with linear and nonlinear machine learning algorithms. Geochronometria. 2018, vol. 45, iss. 1, str. 211-222, ilustr. ISSN 1897-1695. http://dx.doi.org/10.1515/geochr-2015-0097, DOI: 10.1515/geochr-2015-0097. [COBISS.SI-ID 5223846]

4. JEVŠENAK, Jernej, DŽEROSKI, Sašo, ZAVADLAV, Saša, LEVANIČ, Tom. A machine learning approach to analyzing the relationship between temperatures and multi-proxy tree-ring records. Tree-ring research. [Tiskana izd.]. Jul. 2018, vol. 74, iss. 2, str. 210-224, graf. prikazi, zvd. ISSN 1536-1098. https://doi.org/10.3959/1536-1098-74.2.210, DOI: 10.3959/1536-1098-74.2.210. [COBISS.SI-ID 5155750]

5. JEVŠENAK, Jernej, LEVANIČ, Tom. Should artificial neural networks replace linear models in tree ring based climate reconstructions?. Dendrochronologia. 2016, vol. 40, str. 102-109, ilustr. ISSN 1125-7865. https://doi.org/10.1016/j.dendro.2016.08.002, DOI: 10.1016/j.dendro.2016.08.002. [COBISS.SI-ID 4703654]

6. JEVŠENAK, Jernej, LEVANIČ, Tom. dendroTools : linear and nonlinear methods for analyzing dendroclimatological data. [Ljubljana: Slovenian Forestry Institute], 2018. https://cran.r-project.org/web/packages/dendroTools/index.html. [COBISS.SI-ID 5178534]