4.7 Article

Predicting seismic-induced liquefaction through ensemble learning frameworks

Related references

Note: Only part of the references are listed.
Article Mathematical & Computational Biology

Online cross-validation-based ensemble learning

David Benkeser et al.

STATISTICS IN MEDICINE (2018)

Article Automation & Control Systems

Integration of an improved dynamic ensemble selection approach to enhance one-vs-one scheme

Zhong-Liang Zhang et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2018)

Article Automation & Control Systems

New diversity measure for data stream classification ensembles

Konrad Jackowski

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2018)

Review Physics, Multidisciplinary

v Machine learning & artificial intelligence in the quantum domain: a review of recent progress

Vedran Dunjko et al.

REPORTS ON PROGRESS IN PHYSICS (2018)

Article Multidisciplinary Sciences

Quantum ensembles of quantum classifiers

Maria Schuld et al.

SCIENTIFIC REPORTS (2018)

Article Engineering, Geological

Liquefaction prediction using CPT data by triangular chart identification

Hossein Mola-Abasi et al.

INTERNATIONAL JOURNAL OF GEOTECHNICAL ENGINEERING (2018)

Article Computer Science, Artificial Intelligence

Neural network ensemble-based parameter sensitivity analysis in civil engineering systems

M. S. Cao et al.

NEURAL COMPUTING & APPLICATIONS (2017)

Article Computer Science, Artificial Intelligence

Ensemble learning for data stream analysis: A survey

Bartosz Krawczyk et al.

INFORMATION FUSION (2017)

Article Computer Science, Artificial Intelligence

Extreme learning machine and adaptive sparse representation for image classification

Jiuwen Cao et al.

NEURAL NETWORKS (2016)

Article Engineering, Geological

An Alternative Method for Determination of Liquefaction Susceptibility of Soil

Pijush Samui et al.

GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2016)

Article Water Resources

Regional frequency analysis at ungauged sites using a two-stage resampling generalized ensemble framework

Mohammad H. Alobaidi et al.

ADVANCES IN WATER RESOURCES (2015)

Review Multidisciplinary Sciences

Probabilistic machine learning and artificial intelligence

Zoubin Ghahramani

NATURE (2015)

Article Engineering, Civil

Advancing monthly streamflow prediction accuracy of CART models using ensemble learning paradigms

Halil Ibrahim Erdal et al.

JOURNAL OF HYDROLOGY (2013)

Article Engineering, Geological

Probabilistic version of the Robertson and Wride method for liquefaction evaluation: development and application

Chih-Sheng Ku et al.

CANADIAN GEOTECHNICAL JOURNAL (2012)

Review Computer Science, Artificial Intelligence

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches

Mikel Galar et al.

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS (2012)

Article Geosciences, Multidisciplinary

Machine learning modelling for predicting soil liquefaction susceptibility

P. Samui et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2011)

Article Engineering, Civil

Seismic liquefaction potential assessment by using relevance vector machine

Pijush Samui

EARTHQUAKE ENGINEERING AND ENGINEERING VIBRATION (2007)

Article Computer Science, Artificial Intelligence

Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy

LI Kuncheva et al.

MACHINE LEARNING (2003)

Article Engineering, Geological

Assessing probability-based methods for liquefaction potential evaluation

CH Juang et al.

JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING (2002)

Article Engineering, Geological

CPT-based liquefaction analysis, Part 1: Determination of limit state function

CH Juang et al.

GEOTECHNIQUE (2000)