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Romulus Costache, Hazem Ghassan Abdo, Arun Pratap Mishra, Subodh Chandra Pal, Abu Reza Md. Towfiqul Islam, Chaitanya B. Pande, Hussein Almohamad, Ahmed Abdullah Al Dughairi & Jasem A. Albanai. (2023) Using fuzzy and machine learning iterative optimized models to generate the flood susceptibility maps: case study of Prahova River basin, Romania. Geomatics, Natural Hazards and Risk 14:1.
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Yange Li, Jiaming Yang, Zheng Han, Jiaying Li, Weidong Wang, Ningsheng Chen, Guisheng Hu & Jianling Huang. (2023) An ensemble deep-learning framework for landslide susceptibility assessment using multiple blocks: a case study of Wenchuan area, China. Geomatics, Natural Hazards and Risk 14:1.
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Abdul Baser Qasimi, Vahid Isazade, Enayatullah Enayat, Zabihullah Nadry & Abdul Hallim Majidi. (2023) Landslide susceptibility mapping in Badakhshan province, Afghanistan: a comparative study of machine learning algorithms. Geocarto International 38:1.
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Zhuo Chen & Danqing Song. (2023) Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms. International Journal of Digital Earth 16:1, pages 3384-3416.
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Penglei Li, Yi Wang, Tongzhen Si, Kashif Ullah, Wei Han & Lizhe Wang. (2023) DSFA: cross-scene domain style and feature adaptation for landslide detection from high spatial resolution images. International Journal of Digital Earth 16:1, pages 2426-2447.
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Abdel Rahman Al-Shabeeb, A’kif Al-Fugara, Khaled Mohamed Khedher, Ali Nouh Mabdeh & Rida Al-Adamat. (2022) Spatial mapping of landslide susceptibility in Jerash governorate of Jordan using genetic algorithm-based wrapper feature selection and bagging-based ensemble model. Geomatics, Natural Hazards and Risk 13:1, pages 2252-2282.
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Yaning Yi, Wanchang Zhang, Xiwei Xu, Zhijie Zhang & Xuan Wu. (2022) Evaluation of neural network models for landslide susceptibility assessment. International Journal of Digital Earth 15:1, pages 934-953.
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Asish Saha, Subodh Chandra Pal, Indrajit Chowdhuri, Rabin Chakrabortty & Paramita Roy. (2022) Understanding the scale effects of topographical variables on landslide susceptibility mapping in Sikkim Himalaya using deep learning approaches. Geocarto International 37:27, pages 17826-17852.
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Reda Sahrane, Younes El Kharim & Ali Bounab. (2022) Investigating the effects of landscape characteristics on landslide susceptibility and frequency-area distributions: the case of Taounate province, Northern Morocco. Geocarto International 37:27, pages 17686-17712.
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Sunil Saha, Anik Saha, Tusar Kanti Hembram, Barnali Kundu & Raju Sarkar. (2022) Novel ensemble of deep learning neural network and support vector machine for landslide susceptibility mapping in Tehri region, Garhwal Himalaya. Geocarto International 37:27, pages 17018-17043.
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Luísa V. Lucchese, Guilherme G. de Oliveira & Olavo C. Pedrollo. (2022) A hybrid random forests and artificial neural networks bagging ensemble for landslide susceptibility modelling. Geocarto International 37:27, pages 16492-16511.
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Romulus Costache, Tran Trung Tin, Alireza Arabameri, Anca Crăciun, Iulia Costache, Abu Reza Md. Towfiqul Islam, Mehebub Sahana & Binh Thai Pham. (2022) Stacking state-of-the-art ensemble for flash-flood potential assessment. Geocarto International 37:26, pages 13812-13838.
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Quoc Bao Pham, Yacine Achour, Sk Ajim Ali, Farhana Parvin, Matej Vojtek, Jana Vojteková, Nadhir Al-Ansari, A. L. Achu, Romulus Costache, Khaled Mohamed Khedher & Duong Tran Anh. (2021) A comparison among fuzzy multi-criteria decision making, bivariate, multivariate and machine learning models in landslide susceptibility mapping. Geomatics, Natural Hazards and Risk 12:1, pages 1741-1777.
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