标题
An explainable AI (XAI) model for landslide susceptibility modeling
作者
关键词
-
出版物
APPLIED SOFT COMPUTING
Volume 142, Issue -, Pages 110324
出版商
Elsevier BV
发表日期
2023-04-26
DOI
10.1016/j.asoc.2023.110324
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Self-supervised Short-text Modeling through Auxiliary Context Generation
- (2022) Nurendra Choudhary et al. ACM Transactions on Intelligent Systems and Technology
- Earthquake-Induced Building-Damage Mapping Using Explainable AI (XAI)
- (2021) Sahar S. Matin et al. SENSORS
- Urban Vegetation Mapping from Aerial Imagery Using Explainable AI (XAI)
- (2021) Abolfazl Abdollahi et al. SENSORS
- Interpretable and explainable AI (XAI) model for spatial drought prediction
- (2021) Abhirup Dikshit et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Mapping Landslides on EO Data: Performance of Deep Learning Models vs. Traditional Machine Learning Models
- (2020) Nikhil Prakash et al. Remote Sensing
- Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review
- (2020) Abhirup Dikshit et al. Applied Sciences-Basel
- Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
- (2020) Abdelaziz Merghadi et al. EARTH-SCIENCE REVIEWS
- Pathways and challenges of the application of artificial intelligence to geohazards modelling
- (2020) Abhirup Dikshit et al. GONDWANA RESEARCH
- How robust are landslide susceptibility estimates?
- (2020) Ugur Ozturk et al. Landslides
- Susceptibility Mapping on Urban Landslides Using Deep Learning Approaches in Mt. Umyeon
- (2020) Sunmin Lee et al. Applied Sciences-Basel
- The effects of debris flow in the Republic of Korea and some issues for successful risk reduction
- (2019) Su-Gon Lee et al. ENGINEERING GEOLOGY
- Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China
- (2019) Yi Wang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment
- (2019) Maher Ibrahim Sameen et al. CATENA
- Review on landslide susceptibility mapping using support vector machines
- (2018) Yu Huang et al. CATENA
- A review of statistically-based landslide susceptibility models
- (2018) Paola Reichenbach et al. EARTH-SCIENCE REVIEWS
- Automated Landslides Detection for Mountain Cities Using Multi-Temporal Remote Sensing Imagery
- (2018) et al. SENSORS
- Assessing the Cost of Damage and Effect of Adaptation to Landslides Considering Climate Change
- (2018) Ho Kim et al. Sustainability
- An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
- (2018) Bahram Choubin et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Explanation in artificial intelligence: Insights from the social sciences
- (2018) Tim Miller ARTIFICIAL INTELLIGENCE
- The influence of geological–morphological and land use settings on shallow landslides in the Pogliaschina T. basin (northern Apennines, Italy)
- (2017) C. Bartelletti et al. Journal of Maps
- DeepStack: Expert-level artificial intelligence in heads-up no-limit poker
- (2017) Matej Moravčík et al. SCIENCE
- Data Mining Approaches for Landslide Susceptibility Mapping in Umyeonsan, Seoul, South Korea
- (2017) Sunmin Lee et al. Applied Sciences-Basel
- How does forest structure affect root reinforcement and susceptibility to shallow landslides?
- (2016) Christine Moos et al. EARTH SURFACE PROCESSES AND LANDFORMS
- Landslides in a changing climate
- (2016) Stefano Luigi Gariano et al. EARTH-SCIENCE REVIEWS
- Fatal landslides in Europe
- (2016) Ubydul Haque et al. Landslides
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- Effects of soil spatial variability at the hillslope and catchment scales on characteristics of rainfall-induced landslides
- (2016) Linfeng Fan et al. WATER RESOURCES RESEARCH
- A systematic review of landslide probability mapping using logistic regression
- (2015) M. E. A. Budimir et al. Landslides
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Deep learning in neural networks: An overview
- (2015) Jürgen Schmidhuber NEURAL NETWORKS
- Global patterns of loss of life from landslides
- (2012) David Petley GEOLOGY
- GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China
- (2012) Chong Xu et al. GEOMORPHOLOGY
- Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview
- (2008) Cees J. van Westen et al. ENGINEERING GEOLOGY
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