Novel Hybrid Integration Approach of Bagging-Based Fisher’s Linear Discriminant Function for Groundwater Potential Analysis
By Wei Chen, Biswajeet Pradhan, Shao-jun Li, Himan Shahabi, Hossein Mojaddadi Rizeei, En-ke Hou, Shengquan Wang. Natural Resources Research, 2019
130 citations recorded by the source corpus.
Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/c2818e4726fc34b77257f171a78a928e59abd4f0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Environmental Engineering
In Global and Planetary Change
In Water Science and Technology
Citations in the corpus
- Ensemble deep learning: A review (2021, unknown): “2019 Adaboost-based security level classification of mobile intelligent terminals [220] Adaboost Security Level Classification 2019 Novel Hybrid Integration Approach of Bagging-Based Fisher’s Linear Discriminant Function for Groundwater Potential Analysis [221] Bagging Groundwater Potential Analysis”
- Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran (2020, background): “Sci. 2020, 10, 5047 3 of 27 forest (RF) [64], naïve bayes tree (NBT) [11,15], baysian logistic regression (BLR) [65], Fisher’s linear discriminant function (FLDA) [66], bayes net (BN) [67], grey wolf optimizer (GWO) [68,69], naïve bayes (NB) [70]; naïve Bayes tree (NBTree) [71–73], evidential belief”