Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility

Feature‐shared adaptive‐boost deep learning for invasiveness classification of pulmonary subsolid nodules in CT images

(2020) Jun Wang et al.   MEDICAL PHYSICS

Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping

(2020) Guirong Wang et al.   Symmetry-Basel

Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping

(2020) Wei Chen et al.   JOURNAL OF HYDROLOGY

Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India

(2020) Rabin Chakrabortty et al.   NATURAL HAZARDS

Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility

(2020) Alireza Arabameri et al.   Remote Sensing

GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran

(2020) Xinxiang Lei et al.   Remote Sensing

Optimization of Computational Intelligence Models for Landslide Susceptibility Evaluation

(2020) Xia Zhao et al.   Remote Sensing

Performance Evaluation of GIS-Based Artificial Intelligence Approaches for Landslide Susceptibility Modeling and Spatial Patterns Analysis

(2020) Xinxiang Lei et al.   ISPRS International Journal of Geo-Information

Significant boost in xylose yield and enhanced economic value with one-pot process using deep eutectic solvent for the pretreatment and saccharification of rice straw

(2020) Zi-Jian Huang et al.   INDUSTRIAL CROPS AND PRODUCTS

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

(2020) Wei Chen et al.   CATENA

A Novel Nonlinear Deep Reinforcement Learning Controller for DC–DC Power Buck Converters

(2020) Meysam Gheisarnejad et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Spatial prediction of gully erosion using ALOS PALSAR data and ensemble bivariate and data mining models

(2019) Alireza Arabameri et al.   GEOSCIENCES JOURNAL

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

(2019) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Simulating the impact of climate change on soil erosion in sub-tropical monsoon dominated watershed based on RUSLE, SCS runoff and MIROC5 climatic model

(2019) Subodh Chandra Pal et al.   ADVANCES IN SPACE RESEARCH

Assessment of Landslide Susceptibility Using Statistical- and Artificial Intelligence-based FR–RF Integrated Model and Multiresolution DEMs

(2019) Arabameri et al.   Remote Sensing

Gully erosion susceptibility assessment and management of hazard-prone areas in India using different machine learning algorithms

(2019) Amiya Gayen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Gully erosion susceptibility mapping using GIS-based multi-criteria decision analysis techniques

(2019) Alireza Arabameri et al.   CATENA

Identification of soil erosion-susceptible areas using fuzzy logic and analytical hierarchy process modeling in an agricultural watershed of Burdwan district, India

(2019) Sunil Saha et al.   Environmental Earth Sciences

Novel ensembles of COPRAS multi-criteria decision-making with logistic regression, boosted regression tree, and random forest for spatial prediction of gully erosion susceptibility

(2019) Alireza Arabameri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?

(2019) Yacine Achour et al.   Geoscience Frontiers

Flood susceptibility mapping by ensemble evidential belief function and binomial logistic regression model on river basin of eastern India

(2019) Indrajit Chowdhuri et al.   ADVANCES IN SPACE RESEARCH

Landslide Susceptibility Evaluation Using Hybrid Integration of Evidential Belief Function and Machine Learning Techniques

(2019) Yang Li et al.   Water

GIS-Based Evaluation of Landslide Susceptibility Models Using Certainty Factors and Functional Trees-Based Ensemble Techniques

(2019) Xia Zhao et al.   Applied Sciences-Basel

Comparison of differences in resolution and sources of controlling factors for gully erosion susceptibility mapping

(2018) Younes Garosi et al.   GEODERMA

Modelling gully-erosion susceptibility in a semi-arid region, Iran: Investigation of applicability of certainty factor and maximum entropy models

(2018) Ali Azareh et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500

(2017) Christopher Krauss et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling

(2017) Hamid Reza Pourghasemi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Shallow Landslide Susceptibility Modeling Using the Data Mining Models Artificial Neural Network and Boosted Tree

(2017) Hyun-Joo Oh et al.   Applied Sciences-Basel

Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison

(2016) Omid Rahmati et al.   NATURAL HAZARDS

Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia

(2015) Ahmed Mohamed Youssef et al.   Landslides

The use of generalized linear models and generalized estimating equations in bioarchaeological studies

(2013) Efthymia Nikita   AMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY

Gully erosion susceptibility assessment by means of GIS-based logistic regression: A case of Sicily (Italy)

(2013) Christian Conoscenti et al.   GEOMORPHOLOGY

A tutorial on propensity score estimation for multiple treatments using generalized boosted models

(2013) Daniel F. McCaffrey et al.   STATISTICS IN MEDICINE

Model-based boosting in R: a hands-on tutorial using the R package mboost

(2012) Benjamin Hofner et al.   COMPUTATIONAL STATISTICS

Confronting Deep Uncertainties in Risk Analysis

(2012) Louis Anthony Tony Cox   RISK ANALYSIS

Determinants of reproductive success in dominant pairs of clownfish: a boosted regression tree analysis

(2011) Peter M. Buston et al.   JOURNAL OF ANIMAL ECOLOGY

Using and comparing two nonparametric methods (CART and MARS) to model the potential distribution of gullies

(2009) Álvaro Gómez Gutiérrez et al.   ECOLOGICAL MODELLING

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY