4.4 Article

Quantifying the Role of Vulnerability in Hurricane Damage via a Machine Learning Case Study

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Civil

Mobile Home Parks and Disasters: Understanding Risk to the Third Housing Type in the United States

Andrew Rumbach et al.

NATURAL HAZARDS REVIEW (2020)

Article Geosciences, Multidisciplinary

A machine learning-based prediction and analysis of flood affected households: A case study of floods in Bangladesh

Kishan Kumar Ganguly et al.

INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION (2019)

Article Environmental Sciences

Novel forecasting approaches using combination of machine learning and statistical models for flood susceptibility mapping

Hossein Shafizadeh-Moghadam et al.

JOURNAL OF ENVIRONMENTAL MANAGEMENT (2018)

Article Environmental Sciences

Differential and persistent risk of excess mortality from Hurricane Maria in Puerto Rico: a time-series analysis

Carlos Santos-Burgoa et al.

LANCET PLANETARY HEALTH (2018)

Article Public, Environmental & Occupational Health

Validating Resilience and Vulnerability Indices in the Context of Natural Disasters

Laura A. Bakkensen et al.

RISK ANALYSIS (2017)

Article Computer Science, Interdisciplinary Applications

A novel hybrid artificial intelligence approach for flood susceptibility assessment

Kamran Chapi et al.

ENVIRONMENTAL MODELLING & SOFTWARE (2017)

Article Environmental Studies

Disaster risk, social vulnerability, and economic development

Patrick S. Ward et al.

DISASTERS (2017)

Review Environmental Studies

Tropical cyclones and climate change

Kevin J. E. Walsh et al.

WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE (2016)

Article Engineering, Civil

Flood hazard risk assessment model based on random forest

Zhaoli Wang et al.

JOURNAL OF HYDROLOGY (2015)

Article Regional & Urban Planning

Inequities in Long-Term Housing Recovery After Disasters

Walter Gillis Peacock et al.

JOURNAL OF THE AMERICAN PLANNING ASSOCIATION (2014)

Article Regional & Urban Planning

Mitigation Planning: Why Hazard Exposure, Structural Vulnerability, and Social Vulnerability Matter

Wesley E. Highfield et al.

JOURNAL OF PLANNING EDUCATION AND RESEARCH (2014)

Article Geosciences, Multidisciplinary

Multi-variate flood damage assessment: a tree-based data-mining approach

B. Merz et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2013)

Article Geography

Social vulnerability assessment for Norway: A quantitative approach

Ivar S. Holand et al.

NORSK GEOGRAFISK TIDSSKRIFT-NORWEGIAN JOURNAL OF GEOGRAPHY (2011)

Article Engineering, Civil

Earthquake induced damage classification for reinforced concrete buildings

Solomon Tesfamariam et al.

STRUCTURAL SAFETY (2010)

Article Engineering, Civil

Social Vulnerability and Hurricane Impact Modeling

Christopher G. Burton

NATURAL HAZARDS REVIEW (2010)

Review Computer Science, Artificial Intelligence

Learning from Imbalanced Data

Haibo He et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2009)

Article Biochemical Research Methods

Bias in random forest variable importance measures: Illustrations, sources and a solution

Carolin Strobl et al.

BMC BIOINFORMATICS (2007)

Article Public, Environmental & Occupational Health

A century of census tracts: Health & the body politic (1906-2006)

N Krieger

JOURNAL OF URBAN HEALTH-BULLETIN OF THE NEW YORK ACADEMY OF MEDICINE (2006)

Article Geosciences, Multidisciplinary

Poverty and disasters in the United States: A review of recent sociological findings

A Fothergill et al.

NATURAL HAZARDS (2004)

Article Political Science

Social vulnerability to environmental hazards

SL Cutter et al.

SOCIAL SCIENCE QUARTERLY (2003)

Article Computer Science, Interdisciplinary Applications

Stochastic gradient boosting

JH Friedman

COMPUTATIONAL STATISTICS & DATA ANALYSIS (2002)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)

Article Statistics & Probability

Greedy function approximation: A gradient boosting machine

JH Friedman

ANNALS OF STATISTICS (2001)

Article Construction & Building Technology

Hurricane wind field model for use in hurricane simulations

PJ Vickery et al.

JOURNAL OF STRUCTURAL ENGINEERING-ASCE (2000)