Greedy-AutoML: A novel greedy-based stacking ensemble learning framework for assessing soil liquefaction potential-Reference-Cited by-同舟云学术

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Greedy-AutoML: A novel greedy-based stacking ensemble learning framework for assessing soil liquefaction potential

Published:2023-03 Issue: Volume:119 Page:105732
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Sahin Emrehan Kutlug^ORCID,Demir Selcuk^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference88 articles.

1. Mining and predicting no-show medical appointments: Using hybrid sampling technique;Alaidah,2021

2. Artificial Intelligence with Python: Your Complete Guide to Building Intelligent Apps using Python 3. X;Artasanchez,2020

3. A malware detection scheme based on mining format information;Bai;Sci. World J.,2014

4. Predicting psychiatric diseases using autoai: A performance analysis based on health insurance billing data;Bertl,2021

5. Optimum-path forest stacking-based ensemble for intrusion detection;Bertoni;Evol. Intell.,2022

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2. Enhancing soil liquefaction risk assessment with metaheuristics and hybrid learning techniques;Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards;2024-07-29

3. Proposing Machine Learning Models Suitable for Predicting Open Data Utilization;Sustainability;2024-07-10

4. The effectiveness of data pre-processing methods on the performance of machine learning techniques using RF, SVR, Cubist and SGB: a study on undrained shear strength prediction;Stochastic Environmental Research and Risk Assessment;2024-06-13

5. Improved prediction of soil liquefaction susceptibility using ensemble learning algorithms;GEOMECH ENG;2024

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