Search results: Sage Journals

Restricted accessResearch articleFirst published October, 2009

Boosting Classifiers Built from Different Subsets of Features

ean-Christophe Janodet, Marc Sebban, Henri-Maxime Suchier

Fundamenta Informaticae

Open accessResearch articleFirst published May, 2019

Boosting sparsity-induced autoencoder: A novel sparse feature ensemble learning for image classification

Rui Shi, Jian Ji, Chunhui Zhang [...]

International Journal of Advanced Robotic Systems

Restricted accessReview articleFirst published March, 2021

Combination of damage feature decisions with adaptive boosting for improving the detection performance of a structural health monitoring framework: Validation on an operating wind turbine

Stavroula Tsiapoki, Omid Bahrami, Moritz W Häckell [...]

Structural Health Monitoring

Restricted accessResearch articleFirst published June, 2026

Scalable Observed Correction With Generative AI: How Motivationally Relevant Message Features and Design Choices Boost Communicative Engagement

Yibing Sun, Ji Soo Choi, Xiaohui Cao [...]

Science Communication

Free accessResearch articleFirst published January, 2024

Modeling Pedestrian Injury Severity: A Case Study of Using Extreme Gradient Boosting Vs Random Forest in Feature Selection

Zhenxi Wu, Aditi Misra, Shan Bao

Transportation Research Record: Journal of the Transportation Research Board

Restricted accessResearch articleFirst published January, 2022

Tree based Ensemble for Enhanced Prediction (TEEP) of epileptic seizures

A. Anandaraj, P.J.A. Alphonse

Intelligent Data Analysis: An International Journal

Restricted accessResearch articleFirst published 2026

Boosting nonlinear ultrasonic detection performance: a framework combining coded excitation and sequence filtering for weak nonlinear feature enhancement

Haiming Xu, Lishuai Liu, Hetang Wang [...]

Structural Health Monitoring

Open accessResearch articleFirst published January, 2020

A novel feature selection method to boost variable predictive model–based class discrimination performance and its application to intelligent multi-fault diagnosis

Songrong Luo, Wenxian Yang, Hongbin Tang

Measurement and Control

Restricted accessResearch articleFirst published 2026

Decoding Market Prices of Sustainable Cryptocurrencies: Fresh Insights from Ensemble Machine Learning and Explainable AI

Indranil Ghosh, Rabin K. Jana, Mohammad Zoynul Abedin [...]

Global Business Review

Open accessResearch articleFirst published January, 2026

Explainable machine learning for early diagnosis of esophageal cancer: A feature-enriched Light Gradient Boosting Machine framework with Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretations

Adib Md. Ridwan, Khandaker Mohammad Mohi Uddin

Journal of International Medical Research

Restricted accessResearch articleFirst published October, 2009

Boosting Classifiers Built from Different Subsets of Features

ean-Christophe Janodet, Marc Sebban, Henri-Maxime Suchier

Fundamenta Informaticae

Open accessResearch articleFirst published May, 2019

Boosting sparsity-induced autoencoder: A novel sparse feature ensemble learning for image classification

Rui Shi, Jian Ji, Chunhui Zhang [...]

International Journal of Advanced Robotic Systems

Restricted accessReview articleFirst published March, 2021

Combination of damage feature decisions with adaptive boosting for improving the detection performance of a structural health monitoring framework: Validation on an operating wind turbine

Stavroula Tsiapoki, Omid Bahrami, Moritz W Häckell [...]

Structural Health Monitoring

Restricted accessResearch articleFirst published June, 2026

Scalable Observed Correction With Generative AI: How Motivationally Relevant Message Features and Design Choices Boost Communicative Engagement

Yibing Sun, Ji Soo Choi, Xiaohui Cao [...]

Science Communication

Free accessResearch articleFirst published January, 2024

Modeling Pedestrian Injury Severity: A Case Study of Using Extreme Gradient Boosting Vs Random Forest in Feature Selection

Zhenxi Wu, Aditi Misra, Shan Bao

Transportation Research Record: Journal of the Transportation Research Board

Restricted accessResearch articleFirst published January, 2022

Tree based Ensemble for Enhanced Prediction (TEEP) of epileptic seizures

A. Anandaraj, P.J.A. Alphonse

Intelligent Data Analysis: An International Journal

Restricted accessResearch articleFirst published 2026

Boosting nonlinear ultrasonic detection performance: a framework combining coded excitation and sequence filtering for weak nonlinear feature enhancement

Haiming Xu, Lishuai Liu, Hetang Wang [...]

Structural Health Monitoring

Open accessResearch articleFirst published January, 2020

A novel feature selection method to boost variable predictive model–based class discrimination performance and its application to intelligent multi-fault diagnosis

Songrong Luo, Wenxian Yang, Hongbin Tang

Measurement and Control

Restricted accessResearch articleFirst published 2026

Decoding Market Prices of Sustainable Cryptocurrencies: Fresh Insights from Ensemble Machine Learning and Explainable AI

Indranil Ghosh, Rabin K. Jana, Mohammad Zoynul Abedin [...]

Global Business Review

Open accessResearch articleFirst published January, 2026

Explainable machine learning for early diagnosis of esophageal cancer: A feature-enriched Light Gradient Boosting Machine framework with Shapley Additive Explanations and Local Interpretable Model-Agnostic Explanations interpretations

Adib Md. Ridwan, Khandaker Mohammad Mohi Uddin

Journal of International Medical Research