Muzaffer Can İban

Machine learning based wildfire susceptibility mapping using remotely sensed fire data and GIS: A case study of Adana and Mersin provinces, Turkey

Muzaffer Can İban, Aliihsan Şekertekin · Ecological Informatics · 2022 · 148 citations

Disaster Detection, Environmental Monitoring, Engineering +10

Predicting and analyzing flood susceptibility using boosting-based ensemble machine learning algorithms with SHapley Additive exPlanations

Halit Enes Aydin, Muzaffer Can İban · Natural Hazards · 2022 · 142 citations

Flash Flood, Hydrological Disaster, Engineering +14

An explainable model for the mass appraisal of residences: The application of tree-based Machine Learning algorithms and interpretation of value determinants

Muzaffer Can İban · Habitat International · 2022 · 84 citations

Built Environment, Housing, Economics +12

Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach

Muzaffer Can İban, Süleyman Sefa Bilgilioğlu · Stochastic Environmental Research and Risk Assessment · 2023 · 59 citations

Artificial Intelligence, Engineering, Machine Learning +12

Machine learning regression models for prediction of multiple ionospheric parameters

Muzaffer Can İban, Erman Şentürk · Advances in Space Research · 2021 · 44 citations

Regression Models, Numerical Weather Prediction, Data Assimilation +6