Skip Nav Destination
Close Modal
Update search
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
Filter
- All
- Title
- Author
- Author Affiliations
- Full Text
- Abstract
- Keyword
- DOI
- ISBN
- EISBN
- ISSN
- EISSN
- Issue
- Volume
- References
NARROW
Format
Journal
Type
Date
Availability
1-3 of 3
Keywords: Ensemble learning
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Over-sampling ensemble methods for class imbalanced datasets
Available to Purchase
Journal:
Data Technologies and Applications
Data Technologies and Applications (2026) 60 (1): 110–131.
Published: 02 December 2025
... Limited 2025 Emerald Publishing Limited Licensed re-use rights only Data science Machine learning Class imbalance learning Over-sampling Ensemble learning Chang Gung Memorial Hospital, Linkou BMRPH13 http://dx.doi.org/10.13039/501100005795 Institute for Information Industry...
Journal Articles
A hybrid method for forecasting coal price based on ensemble learning and deep learning with data decomposition and data enhancement
Available to Purchase
Journal:
Data Technologies and Applications
Data Technologies and Applications (2024) 58 (3): 472–495.
Published: 18 January 2024
...-consuming enterprises and provide crucial information for global carbon emission reduction. Design/methodology/approach The proposed coal price forecasting system combines data decomposition, semi-supervised feature engineering, ensemble learning and deep learning. It addresses the challenge of merging...
Journal Articles
A hybrid learning method for distinguishing lung adenocarcinoma and squamous cell carcinoma
Available to Purchase
Journal:
Data Technologies and Applications
Data Technologies and Applications (2024) 58 (1): 113–131.
Published: 19 May 2023
... accuracy. Jitendra Kumar Rout can be contacted at: jkrout.cs@nitrr.ac.in 03 10 2022 20 02 2023 17 04 2023 © Emerald Publishing Limited 2023 Emerald Publishing Limited Licensed re-use rights only Adenocarcinoma Convolutional neural network Ensemble learning Lung...
