Explainable step-wise binary classification for the susceptibility assessment of geo-hydrological hazards

Towards flood risk mapping based on multi-tiered decision making in a densely urbanized metropolitan city of Istanbul

(2022) Ömer Ekmekcioğlu et al.   Sustainable Cities and Society

The investigation of flood risk perception as a quantitative analysis from socio-demographic perspective

(2021) Gökçen Eryılmaz Türkkan et al.   Natural Hazards

Landslide susceptibility assessment and mapping using state-of-the art machine learning techniques

(2021) Hamid Reza Pourghasemi et al.   Natural Hazards

Linking place records using multi-view encoders

(2021) Vincius Cousseau et al.   NEURAL COMPUTING & APPLICATIONS

Using landslide-inventory mapping for a combined bagged-trees and logistic-regression approach to determining landslide susceptibility in eastern Kentucky, USA

(2021) Matthew M. Crawford et al.   Quarterly Journal of Engineering Geology and Hydrogeology

Evaluation of multi-hazard map produced using MaxEnt machine learning technique

(2021) Narges Javidan et al.   Scientific Reports

An engineer's guide to eXplainable Artificial Intelligence and Interpretable Machine Learning: Navigating causality, forced goodness, and the false perception of inference

(2021) M.Z. Naser   AUTOMATION IN CONSTRUCTION

GIS-based comparative study of Bayes network, Hoeffding tree and logistic model tree for landslide susceptibility modeling

(2021) Wenwu Chen et al.   CATENA

Integration of hard and soft supervised machine learning for flood susceptibility mapping

(2021) Soghra Andaryani et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Performance Comparison of an LSTM-based Deep Learning Model versus Conventional Machine Learning Algorithms for Streamflow Forecasting

(2021) Maryam Rahimzad et al.   WATER RESOURCES MANAGEMENT

A multi-hazard map-based flooding, gully erosion, forest fires, and earthquakes in Iran

(2021) Soheila Pouyan et al.   Scientific Reports

Examining LightGBM and CatBoost Models for Wadi Flash Flood Susceptibility Prediction

(2021) Mohamed Saber et al.   Geocarto International

Data- and Model-Based Discharge Hindcasting over a Subtropical River Basin

(2021) Khondoker Billah et al.   Water

Stakeholder perceptions in flood risk assessment: A hybrid fuzzy AHP-TOPSIS approach for Istanbul, Turkey

(2021) Ömer Ekmekcioğlu et al.   International Journal of Disaster Risk Reduction

Examining social vulnerability to flood of affordable housing communities in Nanjing, China: Building long-term disaster resilience of low-income communities

(2021) Yi Chen et al.   Sustainable Cities and Society

Integrating feature engineering, genetic algorithm and tree-based machine learning methods to predict the post-accident disability status of construction workers

(2021) Kerim Koc et al.   AUTOMATION IN CONSTRUCTION

Modelling multi-hazard threats to cultural heritage sites and environmental sustainability: The present and future scenarios

(2021) Asish Saha et al.   Journal of Cleaner Production

Machine learning predictions of nitrate in groundwater used for drinking supply in the conterminous United States

(2021) K.M. Ransom et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Hybrid XGboost model with various Bayesian hyperparameter optimization algorithms for flood hazard susceptibility modeling

(2021) Saeid Janizadeh et al.   Geocarto International

Relative Permeability Modeling Using Extra Trees, ANFIS, and Hybrid LSSVM–CSA Methods

(2021) Masoud Seyyedattar et al.   Natural Resources Research

Comparing machine learning algorithms in predicting thermal sensation using ASHRAE Comfort Database II

(2020) Maohui Luo et al.   ENERGY AND BUILDINGS

Assessing and mapping multi-hazard risk susceptibility using a machine learning technique

(2020) Hamid Reza Pourghasemi et al.   Scientific Reports

A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

(2020) Sweta Bhattacharya et al.   Electronics

Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment

(2020) Dieu Tien Bui et al.   CATENA

Comparative study of landslide susceptibility mapping with different recurrent neural networks

(2020) Yi Wang et al.   COMPUTERS & GEOSCIENCES

Landslides across the USA: occurrence, susceptibility, and data limitations

(2020) Benjamin B. Mirus et al.   Landslides

Flood susceptibility assessment based on a novel random Naïve Bayes method: A comparison between different factor discretization methods

(2020) Xianzhe Tang et al.   CATENA

An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

(2020) Swarna Priya R.M. et al.   COMPUTER COMMUNICATIONS

Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping

(2020) Zhice Fang et al.   COMPUTERS & GEOSCIENCES

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

(2020) Abdelaziz Merghadi et al.   EARTH-SCIENCE REVIEWS

A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm

(2020) Deliang Sun et al.   GEOMORPHOLOGY

Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment

(2020) Romulus Costache et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Optimization of state-of-the-art fuzzy-metaheuristic ANFIS based machine learning models for flood susceptibility prediction mapping in the Middle Ganga Plain, India

(2020) Aman Arora et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Can deep learning algorithms outperform benchmark machine learning algorithms in flood susceptibility modeling?

(2020) Binh Thai Pham et al.   JOURNAL OF HYDROLOGY

Susceptibility mapping and zoning of highway landslide disasters in China

(2020) Chao Yin et al.   PLoS One

Prediction of Landslide Susceptibility in Rudraprayag, India Using Novel Ensemble of Conditional Probability and Boosted Regression Tree-Based on Cross-Validation Method

(2020) Sunil Saha et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms

(2020) Swapan Talukdar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Multi-Hazard Exposure Mapping Using Machine Learning for the State of Salzburg, Austria

(2020) Thimmaiah Gudiyangada Nachappa et al.   Remote Sensing

GIS-based landslide susceptibility assessment using optimized hybrid machine learning methods

(2020) Xi Chen et al.   CATENA

Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region

(2020) Yaning Yi et al.   CATENA

GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models

(2020) Wei Chen et al.   CATENA

Application of decision tree-based ensemble learning in the classification of breast cancer

(2020) Mohammad M. Ghiasi et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning neural networks for spatially explicit prediction of flash flood probability

(2020) Mahdi Panahi et al.   Geoscience Frontiers

Flash flood susceptibility mapping using a novel deep learning model based on deep belief network, back propagation and genetic algorithm

(2020) Himan Shahabi et al.   Geoscience Frontiers

Flash Flood Risk Analysis Based on Machine Learning Techniques in the Yunnan Province, China

(2019) Meihong Ma et al.   Remote Sensing

Flood Susceptibility Assessment by Using Bivariate Statistics and Machine Learning Models - A Useful Tool for Flood Risk Management

(2019) Romulus Costache   WATER RESOURCES MANAGEMENT

A new intelligence approach based on GIS-based Multivariate Adaptive Regression Splines and metaheuristic optimization for predicting flash flood susceptible areas at high-frequency tropical typhoon area

(2019) Dieu Tien Bui et al.   JOURNAL OF HYDROLOGY

A novel deep learning neural network approach for predicting flash flood susceptibility: A case study at a high frequency tropical storm area

(2019) Dieu Tien Bui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Multi-Hazard Exposure Mapping Using Machine Learning Techniques: A Case Study from Iran

(2019) Omid Rahmati et al.   Remote Sensing

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

(2019) Wei Chen et al.   Applied Sciences-Basel

GCN250, new global gridded curve numbers for hydrologic modeling and design

(2019) Hadi H. Jaafar et al.   Scientific Data

Comparative assessment of the flash-flood potential within small mountain catchments using bivariate statistics and their novel hybrid integration with machine learning models

(2019) Romulus Costache et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Spatial prediction of flood potential using new ensembles of bivariate statistics and artificial intelligence: A case study at the Putna river catchment of Romania

(2019) Romulus Costache et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A new bivariate risk classifier for flood management considering hazard and socio-economic dimensions

(2019) Mohit Prakash Mohanty et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Verification of novel integrations of swarm intelligence algorithms into deep learning neural network for flood susceptibility mapping

(2019) Quang-Thanh Bui et al.   JOURNAL OF HYDROLOGY

Integrated machine learning methods with resampling algorithms for flood susceptibility prediction

(2019) Esmaeel Dodangeh et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques

(2019) Romulus Costache et al.   Remote Sensing

Mapping flood susceptibility in an arid region of southern Iraq using ensemble machine learning classifiers: a comparative study

(2018) Alaa M. Al-Abadi   Arabian Journal of Geosciences

Prediction of the landslide susceptibility: Which algorithm, which precision?

(2018) Hamid Reza Pourghasemi et al.   CATENA

Gender, age and circumstances analysis of flood and landslide fatalities in Italy

(2018) Paola Salvati et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran

(2018) Khabat Khosravi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Flood-induced mortality across the globe: Spatiotemporal pattern and influencing factors

(2018) Pan Hu et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Computational intelligence optimization approach based on particle swarm optimizer and neutrosophic set for abdominal CT liver tumor segmentation

(2018) Ahmed M. Anter et al.   Journal of Computational Science

Advances in Multiple Criteria Decision Making for Sustainability: Modeling and Applications

(2018) Kao-Yi Shen et al.   Sustainability

Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection

(2018) Iftikhar Ahmad et al.   IEEE Access

Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping

(2018) Prima Kadavi et al.   Remote Sensing

A Novel Hybrid Swarm Optimized Multilayer Neural Network for Spatial Prediction of Flash Floods in Tropical Areas Using Sentinel-1 SAR Imagery and Geospatial Data

(2018) Phuong-Thao Ngo et al.   SENSORS

An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines

(2018) Bahram Choubin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Comparative analysis of statistical methods for landslide susceptibility mapping in the Bostanlik District, Uzbekistan

(2018) Mukhiddin Juliev et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Identifying the essential flood conditioning factors for flood prone area mapping using machine learning techniques

(2018) Mahyat Shafapour Tehrany et al.   CATENA

Assessment of urban flood susceptibility using semi-supervised machine learning model

(2018) Gang Zhao et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A novel hybrid artificial intelligence approach for flood susceptibility assessment

(2017) Kamran Chapi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Copula-based IDF curves and empirical rainfall thresholds for flash floods and rainfall-induced landslides

(2016) Nejc Bezak et al.   JOURNAL OF HYDROLOGY

Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS

(2016) Dieu Tien Bui et al.   JOURNAL OF HYDROLOGY

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

(2015) J.N. Goetz et al.   COMPUTERS & GEOSCIENCES

River flow forecasting through nonlinear local approximation in a fuzzy model

(2014) P. C. Nayak et al.   NEURAL COMPUTING & APPLICATIONS

Instability of partially saturated soil slopes due to alteration of rainfall pattern

(2012) Jaehong Kim et al.   ENGINEERING GEOLOGY

River Flow Prediction Using an Integrated Approach

(2008) Sanaga Srinivasulu et al.   JOURNAL OF HYDROLOGIC ENGINEERING

GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations

(2007) Ali Yalcin   CATENA