Digital mapping of soil classes using spatial extrapolation with imbalanced data

Mapping imbalanced soil classes using Markov chain random fields models treated with data resampling technique

(2019) Amin Sharififar et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Addressing the issue of digital mapping of soil classes with imbalanced class observations

(2019) Amin Sharififar et al.   GEODERMA

The extrapolation of soil great groups using multinomial logistic regression at regional scale in arid regions of Iran

(2018) Farideh Abbaszadeh Afshar et al.   GEODERMA

Learning from class-imbalanced data: Review of methods and applications

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

An empirical comparison of techniques for the class imbalance problem in churn prediction

(2017) Bing Zhu et al.   INFORMATION SCIENCES

Digital soil mapping and its implications in the extrapolation of soil-landscape relationships in detailed scale

(2017) Mario Sergio Wolski et al.   PESQUISA AGROPECUARIA BRASILEIRA

A Comparison of Terrain Indices toward Their Ability in Assisting Surface Water Mapping from Sentinel-1 Data

(2017) Chang Huang et al.   ISPRS International Journal of Geo-Information

An overview and comparison of machine-learning techniques for classification purposes in digital soil mapping

(2016) Brandon Heung et al.   GEODERMA

Comparing regression-based digital soil mapping and multiple-point geostatistics for the spatial extrapolation of soil data

(2016) Brendan P. Malone et al.   GEODERMA

Machine learning for predicting soil classes in three semi-arid landscapes

(2015) Colby W. Brungard et al.   GEODERMA

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Robust VIF regression with application to variable selection in large data sets

(2013) Debbie J. Dupuis et al.   Annals of Applied Statistics

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

(2013) Victoria López et al.   INFORMATION SCIENCES

Extrapolation at regional scale of local soil knowledge using boosted classification trees: A two-step approach

(2011) Blandine Lemercier et al.   GEODERMA

VIF Regression: A Fast Regression Algorithm for Large Data

(2011) Dongyu Lin et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Extrapolating regional soil landscapes from an existing soil map: Sampling intensity, validation procedures, and integration of spatial context

(2007) Clovis Grinand et al.   GEODERMA