|Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and …|
B Kalantar, B Pradhan, SA Naghibi, A Motevalli, S Mansor
Geomatics, Natural Hazards and Risk 9 (1), 49-69, 2018
|A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping|
SA Naghibi, DD Moghaddam, B Kalantar, B Pradhan, O Kisi
Journal of Hydrology 548, 471-483, 2017
|Groundwater potential mapping using C5. 0, random forest, and multivariate adaptive regression spline models in GIS|
A Golkarian, SA Naghibi, B Kalantar, B Pradhan
Environmental monitoring and assessment 190, 1-16, 2018
|Land cover classification from fused DSM and UAV images using convolutional neural networks|
HAH Al-Najjar, B Kalantar, B Pradhan, V Saeidi, AA Halin, N Ueda, ...
Remote Sensing 11 (12), 1461, 2019
|Groundwater potential mapping using a novel data-mining ensemble model|
MD Kordestani, SA Naghibi, H Hashemi, K Ahmadi, B Kalantar, ...
Hydrogeology journal, 2019
|Potential of hybrid evolutionary approaches for assessment of geo-hazard landslide susceptibility mapping|
H Nguyen, M Mehrabi, B Kalantar, H Moayedi, MM Abdullahi
Geomatics, Natural Hazards and Risk 10 (1), 1667-1693, 2019
|A novel swarm intelligence—Harris hawks optimization for spatial assessment of landslide susceptibility|
DT Bui, H Moayedi, B Kalantar, A Osouli, B Pradhan, H Nguyen, ...
Sensors 19 (16), 3590, 2019
|Landslide susceptibility mapping: Machine and ensemble learning based on remote sensing big data|
B Kalantar, N Ueda, V Saeidi, K Ahmadi, AA Halin, F Shabani
Remote Sensing 12 (11), 1737, 2020
|Novel hybrids of adaptive neuro-fuzzy inference system (ANFIS) with several metaheuristic algorithms for spatial susceptibility assessment of seismic-induced landslide|
H Moayedi, M Mehrabi, B Kalantar, M Abdullahi Mu’azu, AS A. Rashid, ...
Geomatics, Natural Hazards and Risk 10 (1), 1879-1911, 2019
|GIS-based groundwater spring potential mapping using data mining boosted regression tree and probabilistic frequency ratio models in Iran|
SM Mousavi, A Golkarian, SA Naghibi, B Kalantar, B Pradhan
Aims Geosci 3 (1), 91-115, 2017
|Drone-based land-cover mapping using a fuzzy unordered rule induction algorithm integrated into object-based image analysis|
B Kalantar, SB Mansor, MI Sameen, B Pradhan, HZM Shafri
International journal of remote sensing 38 (8-10), 2535-2556, 2017
|Application of rotation forest with decision trees as base classifier and a novel ensemble model in spatial modeling of groundwater potential|
SA Naghibi, M Dolatkordestani, A Rezaei, P Amouzegari, MT Heravi, ...
Environmental monitoring and assessment 191, 1-20, 2019
|Air quality index prediction using IDW geostatistical technique and OLS-based GIS technique in Kuala Lumpur, Malaysia|
HJ Jumaah, MH Ameen, B Kalantar, HM Rizeei, SJ Jumaah
Geomatics, Natural Hazards and Risk 10 (1), 2185-2199, 2019
|Improving the accuracy of landslide susceptibility model using a novel region-partitioning approach|
H Hong, B Pradhan, MI Sameen, B Kalantar, A Zhu, W Chen
Landslides 15, 753-772, 2018
|Oil palm counting and age estimation from WorldView-3 imagery and LiDAR data using an integrated OBIA height model and regression analysis|
HM Rizeei, HZM Shafri, MA Mohamoud, B Pradhan, B Kalantar
Journal of Sensors 2018, 1-13, 2018
|Optimized conditioning factors using machine learning techniques for groundwater potential mapping|
B Kalantar, HAH Al-Najjar, B Pradhan, V Saeidi, AA Halin, N Ueda, ...
Water 11 (9), 1909, 2019
|Harris hawks optimization: A novel swarm intelligence technique for spatial assessment of landslide susceptibility|
DT Bui, H Moayedi, B Kalantar, A Osouli, M Gör, B Pradhan, H Nguyen, ...
Sensors 19 (16), 3590, 2019
|Multiple moving object detection from UAV videos using trajectories of matched regional adjacency graphs|
B Kalantar, SB Mansor, AA Halin, HZM Shafri, M Zand
IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5198-5213, 2017
|Invasive weed species’ threats to global biodiversity: Future scenarios of changes in the number of invasive species in a changing climate|
F Shabani, M Ahmadi, L Kumar, S Solhjouy-fard, MS Tehrany, F Shabani, ...
Ecological Indicators 116, 106436, 2020
|Performance evaluation and sensitivity analysis of expert-based, statistical, machine learning, and hybrid models for producing landslide susceptibility maps|
B Pradhan, MI Seeni, B Kalantar
Laser scanning applications in landslide assessment, 193-232, 2017