# Examination of Landslide Susceptibility Modeling Using Ensemble Learning and Factor Engineering
## 6 Conclusions
(2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Hazard assessment for regional typhoon-triggered landslides by using physically-based model--A case study from southeastern China. _Georisk Assess. Manug. Risk_**2023**, _17_, 740-754. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON]; [PERSON] [PERSON] Deep learning-based key-block classification framework for discontinuous rock slopes. _J. Rock Mech. Geotech. Eng._**2022**, _14_, 1131-1139. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Deep learning-based landslide susceptibility mapping. _Sci. Rep._**2021**, _11_, 24112. [CrossRef]
* [PERSON] et al. (2022) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] Landslide Susceptibility Assessment by Using Convolutional Neural Network. _Appl. Sci._**2022**, _12_, 5992. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] A Meta-Learning Approach of Optimisation for Spatial Prediction of Landslides. _Remote Sens._**2021**, _13_, 4521. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON] An explainable AI (XAI) model for landslide susceptibility modeling. _Appl. Soft Comput._**2023**, _142_, 110324. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Tempo-Spatial Landslide Susceptibility Assessment from the Perspective of Human Engineering Activity. _Remote Sens._**2023**, _15_, 4111. [CrossRef]
* [PERSON] et al. (2024) [PERSON]; [PERSON]; [PERSON] Enhancing landslide susceptibility mapping incorporating landslide typology via stacking ensemble machine learning in Three Gorges Reservoir, China. _Geosci. Front._**2024**, _15_, 101802. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. Landslide susceptibility mapping using state-of-the-art machine learning ensembles. _Geocarto Int._**2021**, _37_, 5175-5200. [CrossRef]
* [PERSON] and [PERSON] (2021) [PERSON]; [PERSON] [PERSON] Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey. _Nat. Hazards_**2021**, _108_, 1515-1543. [CrossRef]* _[PERSON] et al. (2020)_ [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Novel Credal Decision Tree-Based Ensemble Approaches for Predicting the Landslide Susceptibility. _Remote Sens._**2020**, _12_, 3389. [CrossRef]
* _[PERSON] et al. (2020)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A hybrid model considering spatial heterogeneity for landslide susceptibility mapping in Zhejiang Province, China. _Catena_**2020**, _188_, 104425. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] Ensemble learning framework for landslide susceptibility mapping: Different basic classifier and ensemble strategy. _Geosci. Front._**2023**, _14_, 101645. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON] A Multi-Criteria Decision Analysis (MCDA) Approach for Landslide Susceptibility Mapping of a Part of Darjeeling District in North-East Himalaya, India. _Appl. Sci._**2023**, _13_, 5062. [CrossRef]
* _[PERSON] et al. (2024)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Assessing the imperative of conditioning factor grading in machine learning-based landslide susceptibility modeling: A critical inquiry. _Catena_**2024**, _236_, 107732. [CrossRef]
* _[PERSON] et al. (2023)_ [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A novel method using explainable artificial intelligence (XAI)-based Shapley Additive Explanations for spatial landslide prediction using Time-Series SAR dataset. _Gondwana Res._**2023**, _123_, 107-124. [CrossRef]
* _[PERSON] (2020)_ [PERSON] An Empirical Analysis of Feature Engineering for Predictive Modeling; Cornell University Library. _arXiv_**2020**, arXiv:1701.07852. * _[PERSON] et al.