Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam. - Dieu Tien Bui; Binh Thai Pham; Quoc Phi Nguyen; Nhat-Duc Hoang (Int. J. Digit. Earth, 2016)

A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India). - Binh Thai Pham; Biswajeet Pradhan; Dieu Tien Bui; Indra Prakash; M. B. Dholakia (Environ. Model. Softw., 2016)

A novel hybrid artificial intelligence approach for flood susceptibility assessment. - Kamran Chapi; Vijay P. Singh; Ataollah Shirzadi; Himan Shahabi; Dieu Tien Bui; Binh Thai Pham; Khabat Khosravi (Environ. Model. Softw., 2017)

Wildfire spatial pattern analysis in the Zagros Mountains, Iran: A comparative study of decision tree based classifiers. - Abolfazl Jaafari; Eric K. Zenner; Binh Thai Pham (Ecol. Informatics, 2018)

A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. - Dieu Tien Bui; Himan Shahabi; Ataollah Shirzadi; Kamran Chapi; Nhat-Duc Hoang; Binh Thai Pham; Quang-Thanh Bui; Chuyen-Trung Tran; Mahdi Panahi; Baharin Bin Ahmad; Saro Lee (Remote. Sens., 2018)

Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping. - Ataollah Shirzadi; Karim Soliamani; Mahmood Habibnejhad; Ataollah Kavian; Kamran Chapi; Himan Shahabi; Wei Chen 051; Khabat Khosravi; Binh Thai Pham; Biswajeet Pradhan; Anuar Ahmad; Baharin Bin Ahmad; et al. (Sensors, 2018)

Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran. - Mahmoud Bayat; Mansour Ghorbanpour; Rozita Zare; Abolfazl Jaafari; Binh Thai Pham (Comput. Electron. Agric., 2019)

Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq. - Khabat Khosravi; Prasad Daggupati; Mohammad Taghi Alami; Salih Muhammad Awadh; Mazen Ismaeel Ghareb; Mehdi Panahi; Binh Thai Pham; Fatemeh Rezaie; Chongchong Qi; Zaher Mundher Yaseen (Comput. Electron. Agric., 2019)

Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling. - Qingfeng He; Zhihao Xu; Shaojun Li; Renwei Li; Shuai Zhang; Nianqin Wang; Binh Thai Pham; Wei Chen 051 (Entropy, 2019)

Flood Spatial Modeling in Northern Iran Using Remote Sensing and GIS: A Comparison between Evidential Belief Functions and Its Ensemble with a Multivariate Logistic Regression Model. - Dieu Tien Bui; Khabat Khosravi; Himan Shahabi; Prasad Daggupati; Jan Franklin Adamowski; Assefa M. Melesse; Binh Thai Pham; Hamid Reza Pourghasemi; Mehrnoosh Mahmoudi; Sepideh Bahrami; Biswajeet Pradhan; Ataollah Shirzadi; et al. (Remote. Sens., 2019)

Shallow Landslide Prediction Using a Novel Hybrid Functional Machine Learning Algorithm. - Dieu Tien Bui; Himan Shahabi; Ebrahim Omidvar; Ataollah Shirzadi; Marten Geertsema; John J. Clague; Khabat Khosravi; Biswajeet Pradhan; Binh Thai Pham; Kamran Chapi; Zahra Barati; Baharin Bin Ahmad; et al. (Remote. Sens., 2019)

Erratum: Dieu, T.B. et al. A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides. Remote Sens. 2018, 10, 1538. - Dieu Tien Bui; Himan Shahabi; Ataollah Shirzadi; Kamran Chapi; Nhat-Duc Hoang; Binh Thai Pham; Quang-Thanh Bui; Chuyen-Trung Tran; Mahdi Panahi; Baharin Bin Ahmad; Saro Lee (Remote. Sens., 2019)

Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM. - Jie Dou; Ali P. Yunus; Dieu Tien Bui; Mehebub Sahana; Chi-Wen Chen; Zhongfan Zhu; Weidong Wang; Binh Thai Pham (Remote. Sens., 2019)

Wildfire Probability Mapping: Bivariate vs. Multivariate Statistics. - Abolfazl Jaafari; Davood Mafi Gholami; Binh Thai Pham; Dieu Tien Bui (Remote. Sens., 2019)

A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran). - Dieu Tien Bui; Ataollah Shirzadi; Himan Shahabi; Kamran Chapi; Ebrahim Omidvar; Binh Thai Pham; Dawood Talebpour Asl; Hossein Khaledian; Biswajeet Pradhan; Mahdi Panahi; Baharin Bin Ahmad; Hosein Rahmani; et al. (Sensors, 2019)

Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data. - Hai-Bang Ly; Lu Minh Le; Luong Van Phi; Viet-Hung Phan; Van Quan Tran; Binh Thai Pham; Tien-Thinh Le 001; Sybil Derrible (Sensors, 2019)

A novel ensemble learning based on Bayesian Belief Network coupled with an extreme learning machine for flash flood susceptibility mapping. - Ataollah Shirzadi; Shahrokh Asadi; Himan Shahabi; Somayeh Ronoud; John J. Clague; Khabat Khosravi; Binh Thai Pham; Baharin Bin Ahmad; Dieu Tien Bui (Eng. Appl. Artif. Intell., 2020)

Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm. - Jian Zhou 007; Atefeh Nekouie; Chelang A. Arslan; Binh Thai Pham; Mahdi Hasanipanah (Eng. Comput., 2020)

Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis. - Xinxiang Lei; Wei Chen 051; Binh Thai Pham (ISPRS Int. J. Geo Inf., 2020)

Crime rate detection using social media of different crime locations and Twitter part-of-speech tagger with Brown clustering. - Minh Thanh Vo; Rohit Sharma 002; Raghvendra Kumar 001; Le Hoang Son; Binh Thai Pham; Dieu Tien Bui; Ishaani Priyadarshini; Manash Sarkar; Tuong Le (J. Intell. Fuzzy Syst., 2020)

Using GIS, Remote Sensing, and Machine Learning to Highlight the Correlation between the Land-Use/Land-Cover Changes and Flash-Flood Potential. - Romulus Costache; Quoc Bao Pham; Ema Corodescu-Rosca; Catalin I. Cîmpianu; Haoyuan Hong; Nguyen Thi Thuy Linh; Ming Fai Chow; Ali Najah Ahmed; Matej Vojtek; Siraj Muhammed Pandhiani; Gabriel Minea; Nicu Ciobotaru; et al. (Remote. Sens., 2020)

Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction. - Binh Thai Pham; Abolfazl Jaafari; Mohammadtaghi Avand; Nadhir Al-Ansari; Tran Dinh Du; Hoang Phan Hai Yen; Tran Van Phong; Duy Huu Nguyen; Hiep Van Le; Davood Mafi Gholami; Indra Prakash; Hoang Thi Thuy; et al. (Symmetry, 2020)

Optimal design of adaptive and proportional integral derivative controllers using a novel hybrid particle swarm optimization algorithm. - Elham Yazdani Bejarbaneh; Arash Hosseinian Ahangarnejad; Ahmad Bagheri; Behnam Yazdani Bejarbaneh; Binh Thai Pham; Salinda Buyamin; Fatemeh Shirinzadeh (Trans. Inst. Meas. Control, 2020)

Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides. - Binh Thai Pham; Abolfazl Jaafari; Trung Nguyen-Thoi; Tran Van Phong; Duy Huu Nguyen; Neelima Satyam; Md Masroor; Sufia Rehman; Haroon Sajjad; Mehebub Sahana; Hiep Van Le; Indra Prakash (Int. J. Digit. Earth, 2021)

Naïve Bayes ensemble models for groundwater potential mapping. - Binh Thai Pham; Abolfazl Jaafari; Tran Van Phong; Davood Mafi Gholami; Mahdis Amiri; Nguyen Van Tao; Van-Hao Duong; Indra Prakash (Ecol. Informatics, 2021)

Mapping forest fire susceptibility using spatially explicit ensemble models based on the locally weighted learning algorithm. - Tran Thi Tuyen; Abolfazl Jaafari; Hoang Phan Hai Yen; Trung Nguyen-Thoi; Tran Van Phong; Huu Duy Nguyen; Hiep Van Le; Tran Thi Mai Phuong; Son Hoang Nguyen; Indra Prakash; Binh Thai Pham (Ecol. Informatics, 2021)

Optimum model for bearing capacity of concrete-steel columns with AI technology via incorporating the algorithms of IWO and ABC. - Payam Sarir; Shuilong Shen; Zhi-Feng Wang; Jun Chen; Suksun Horpibulsuk; Binh Thai Pham (Eng. Comput., 2021)

Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods. - Jianwei Tian; Chongchong Qi; Yingfeng Sun; Zaher Mundher Yaseen; Binh Thai Pham (Eng. Comput., 2021)

A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles. - Weixun Yong; Jian Zhou 007; Danial Jahed Armaghani; Mahmood M. D. Tahir; Reza Tarinejad; Binh Thai Pham; Van Van Huynh (Eng. Comput., 2021)

Flood risk assessment using deep learning integrated with multi-criteria decision analysis. - Binh Thai Pham; Chinh Luu; Dong Van Dao; Tran Van Phong; Duy Huu Nguyen; Hiep Van Le; Jason von Meding; Indra Prakash (Knowl. Based Syst., 2021)

Metaheuristic optimization of Levenberg-Marquardt-based artificial neural network using particle swarm optimization for prediction of foamed concrete compressive strength. - Hai-Bang Ly; May Huu Nguyen; Binh Thai Pham (Neural Comput. Appl., 2021)

Estimation of axial load-carrying capacity of concrete-filled steel tubes using surrogate models. - Hai-Bang Ly; Binh Thai Pham; Lu Minh Le; Tien-Thinh Le 001; Vuong Minh Le; Panagiotis G. Asteris (Neural Comput. Appl., 2021)

Flash-Flood Potential Mapping Using Deep Learning, Alternating Decision Trees and Data Provided by Remote Sensing Sensors. - Romulus Costache; Alireza Arabameri; Thomas Blaschke; Quoc Bao Pham; Binh Thai Pham; Manish Pandey; Aman Arora 004; Nguyen Thi Thuy Linh; Iulia Costache (Sensors, 2021)

Surrogate models for the compressive strength mapping of cement mortar materials. - Panagiotis G. Asteris; Liborio Cavaleri; Hai-Bang Ly; Binh Thai Pham (Soft Comput., 2021)

A Comparison of Gaussian Process and M5P for Prediction of Soil Permeability Coefficient. - Binh Thai Pham; Hai-Bang Ly; Nadhir Al-Ansari; Lanh Si Ho (Sci. Program., 2021)

Effects of elastic foundation on the large-amplitude vibration analysis of functionally graded GPL-RC annular sector plates. - Muhammad Aqeel Ashraf; Zhenling Liu; Dangquan Zhang; Binh Thai Pham (Eng. Comput., 2022)

Estimation of the undrained shear strength of sensitive clays using optimized inference intelligence system. - Quoc Anh Tran; Lanh Si Ho; Hiep Van Le; Indra Prakash; Binh Thai Pham (Neural Comput. Appl., 2022)

Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning. - Tran Xuan Bien; Abolfazl Jaafari; Tran Van Phong; Phan Trong Trinh; Binh Thai Pham (Earth Sci. Informatics, 2023)

Optimization of neural network parameters in improvement of particulate matter concentration prediction of open-pit mining. - Xiang Lu; Wei Zhou 034; Hai-Bang Ly; Chongchong Qi; Thuy-Anh Nguyen; May Huu Nguyen; Jiandong Huang; Binh Thai Pham (Appl. Soft Comput., 2023)

Prediction of coastal erosion susceptible areas of Quang Nam Province, Vietnam using machine learning models. - Bui Nhi Thanh; Tran Van Phong; Phan Trong Trinh; Romulus Costache; Mahdis Amiri; Dam Duc Nguyen; Hiep Van Le; Indra Prakash; Binh Thai Pham (Earth Sci. Informatics, 2024)

Comparative analysis of machine learning and deep learning methods for coastal erosion susceptibility mapping. - Tran Van Phong; Phan Trong Trinh; Bui Nhi Thanh; Hiep Van Le; Binh Thai Pham (Earth Sci. Informatics, 2025)