Improving prediction of water quality indices using novel hybrid machine-learning algorithms DT Bui, K Khosravi, J Tiefenbacher, H Nguyen, N Kazakis Science of the Total Environment 721, 137612, 2020 | 293 | 2020 |
Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods O Rahmati, B Choubin, A Fathabadi, F Coulon, E Soltani, H Shahabi, ... Science of the Total Environment 688, 855-866, 2019 | 180 | 2019 |
A comparative study of environmental knowledge, attitudes and behaviors among university students in China X He, T Hong, L Liu, J Tiefenbacher International Research in Geographical and Environmental Education 20 (2 …, 2011 | 143 | 2011 |
Improvement of best first decision trees using bagging and dagging ensembles for flood probability mapping P Yariyan, S Janizadeh, T Van Phong, HD Nguyen, R Costache, ... Water Resources Management 34, 3037-3053, 2020 | 138 | 2020 |
Spatial modeling, risk mapping, change detection, and outbreak trend analysis of coronavirus (COVID-19) in Iran (days between February 19 and June 14, 2020) HR Pourghasemi, S Pouyan, B Heidari, Z Farajzadeh, SRF Shamsi, ... International Journal of Infectious Diseases 98, 90-108, 2020 | 137 | 2020 |
En-gendered fears: Femininity and technological risk perception SL Cutter, J Tiefenbacher, WD Solecki Industrial Crisis Quarterly 6 (1), 5-22, 1992 | 122 | 1992 |
Application of learning vector quantization and different machine learning techniques to assessing forest fire influence factors and spatial modelling HR Pourghasemi, A Gayen, R Lasaponara, JP Tiefenbacher Environmental research 184, 109321, 2020 | 111 | 2020 |
Urban flood modeling using deep-learning approaches in Seoul, South Korea X Lei, W Chen, M Panahi, F Falah, O Rahmati, E Uuemaa, Z Kalantari, ... Journal of Hydrology 601, 126684, 2021 | 106 | 2021 |
Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future S Janizadeh, SC Pal, A Saha, I Chowdhuri, K Ahmadi, S Mirzaei, ... Journal of Environmental Management 298, 113551, 2021 | 104 | 2021 |
Attributes of repeat visitors to small tourist-oriented communities JP Tiefenbacher, FA Day, JA Walton The Social Science Journal 37 (2), 299-308, 2000 | 104 | 2000 |
The effect of sample size on different machine learning models for groundwater potential mapping in mountain bedrock aquifers DD Moghaddam, O Rahmati, M Panahi, J Tiefenbacher, H Darabi, ... Catena 187, 104421, 2020 | 103 | 2020 |
Gully headcut susceptibility modeling using functional trees, naïve Bayes tree, and random forest models M Hosseinalizadeh, N Kariminejad, W Chen, HR Pourghasemi, ... Geoderma 342, 1-11, 2019 | 101 | 2019 |
Identification of soil erosion-susceptible areas using fuzzy logic and analytical hierarchy process modeling in an agricultural watershed of Burdwan district, India S Saha, A Gayen, HR Pourghasemi, JP Tiefenbacher Environmental Earth Sciences 78 (23), 649, 2019 | 100 | 2019 |
A novel ensemble computational intelligence approach for the spatial prediction of land subsidence susceptibility A Arabameri, S Saha, J Roy, JP Tiefenbacher, A Cerda, T Biggs, ... Science of the Total Environment 726, 138595, 2020 | 96 | 2020 |
Is multi-hazard mapping effective in assessing natural hazards and integrated watershed management? HR Pourghasemi, A Gayen, M Edalat, M Zarafshar, JP Tiefenbacher Geoscience Frontiers 11 (4), 1203-1217, 2020 | 96 | 2020 |
River water salinity prediction using hybrid machine learning models AM Melesse, K Khosravi, JP Tiefenbacher, S Heddam, S Kim, A Mosavi, ... Water 12 (10), 2951, 2020 | 89 | 2020 |
A machine learning framework for multi-hazards modeling and mapping in a mountainous area S Yousefi, HR Pourghasemi, SN Emami, S Pouyan, S Eskandari, ... Scientific Reports 10 (1), 12144, 2020 | 88 | 2020 |
Morphometric analysis for soil erosion susceptibility mapping using novel gis-based ensemble model A Arabameri, JP Tiefenbacher, T Blaschke, B Pradhan, D Tien Bui Remote Sensing 12 (5), 874, 2020 | 88 | 2020 |
Access to healthcare and disparities in colorectal cancer survival in Texas N Wan, FB Zhan, Y Lu, JP Tiefenbacher Health & place 18 (2), 321-329, 2012 | 84 | 2012 |
Novel ensemble of MCDM-artificial intelligence techniques for groundwater-potential mapping in arid and semi-arid regions (Iran) A Arabameri, S Lee, JP Tiefenbacher, PTT Ngo Remote Sensing 12 (3), 490, 2020 | 76 | 2020 |