Digital Library
Search: "[ keyword: Ensemble ]" (16)
A Semi-supervised Dimension Reduction Method Using Ensemble
Cheong Hee Park The KIPS Transactions:PartD,
Vol. 19, No. 2, pp. 147-150,
Apr.
2012
10.3745/KIPSTD.2012.19.2.147
10.3745/KIPSTD.2012.19.2.147
Hybrid Genetic Algorithm for Classifier Ensemble Selection
Young Won Kim , Il Seok Oh The KIPS Transactions:PartB ,
Vol. 14, No. 5, pp. 369-376,
Oct.
2007
10.3745/KIPSTB.2007.14.5.369
10.3745/KIPSTB.2007.14.5.369
Ensemble Learning of Region Based Classifiers
Sung Ha Choi , Byung Woo Lee , Ji Hoon Yang The KIPS Transactions:PartB ,
Vol. 14, No. 4, pp. 303-310,
Aug.
2007
10.3745/KIPSTB.2007.14.4.303
10.3745/KIPSTB.2007.14.4.303
Class-Agnostic 3D Mask Proposal and 2D-3D Visual Feature Ensemble for Efficient Open-Vocabulary 3D Instance Segmentation
Sungho Song, Kyungmin Park, Incheol Kim The Transactions of the Korea Information Processing Society,
Vol. 13, No. 7, pp. 335-347,
Jul.
2024
10.3745/TKIPS.2024.13.7.335
Keywords: Point cloud, Open-Vocabulary 3D Instance Segmentation, Class-Agnostic 3D Mask Proposal, 2D-3D Visual Feature Ensemble
10.3745/TKIPS.2024.13.7.335
Keywords: Point cloud, Open-Vocabulary 3D Instance Segmentation, Class-Agnostic 3D Mask Proposal, 2D-3D Visual Feature Ensemble
Development of a Deep Learning-based Midterm PM2.5 Prediction Model Adapting to Trend Changes
Dong Jun Min, Hyerim Kim, Sangkyun Lee The Transactions of the Korea Information Processing Society,
Vol. 13, No. 6, pp. 251-259,
Jun.
2024
https://doi.org/10.3745/TKIPS.2024.13.6.251
Keywords: Particulate Matter, PM2.5, Time Series Forecast, Deep Learning, Ensemble
https://doi.org/10.3745/TKIPS.2024.13.6.251
Keywords: Particulate Matter, PM2.5, Time Series Forecast, Deep Learning, Ensemble
A Study on Classification Models for Predicting Bankruptcy Based on XAI
Jihong Kim, Nammee Moon KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 8, pp. 333-340,
Aug.
2023
https://doi.org/10.3745/KTSDE.2023.12.8.333
Keywords: Big data, Classification Model, Explainable AI, Bagging, Boosting, Ensemble
https://doi.org/10.3745/KTSDE.2023.12.8.333
Keywords: Big data, Classification Model, Explainable AI, Bagging, Boosting, Ensemble
Ensemble Learning-Based Prediction of Good Sellers in Overseas Sales of Domestic Books and Keyword Analysis of Reviews of the Good Sellers
Do Young Kim, Na Yeon Kim, Hyon Hee Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 4, pp. 173-178,
Apr.
2023
https://doi.org/10.3745/KTSDE.2023.12.4.173
Keywords: Ensemble learning, Good Seller Prediction, Book Review Analysis, Text Mining, Keyword Analysis
https://doi.org/10.3745/KTSDE.2023.12.4.173
Keywords: Ensemble learning, Good Seller Prediction, Book Review Analysis, Text Mining, Keyword Analysis
Dynamic Web Information Predictive System Using Ensemble Support Vector Machine
Chang Hee Park , Kyung Bae Yoon The KIPS Transactions:PartB ,
Vol. 11, No. 4, pp. 465-470,
Aug.
2004
10.3745/KIPSTB.2004.11.4.465
10.3745/KIPSTB.2004.11.4.465
Epileptic Seizure Detection Using CNN Ensemble Models Based on Overlapping Segments of EEG Signals
Min-Ki Kim KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 12, pp. 587-594,
Dec.
2021
https://doi.org/10.3745/KTSDE.2021.10.12.587
Keywords: Epileptic Seizure, EEG, CNN, Ensemble model
https://doi.org/10.3745/KTSDE.2021.10.12.587
Keywords: Epileptic Seizure, EEG, CNN, Ensemble model
A Modeling of Realtime Fuel Comsumption Prediction Using OBDII Data
Hee-Eun Yang, Do-Hyun Kim, Hoseop Choe KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 2, pp. 57-64,
Feb.
2021
https://doi.org/10.3745/KTSDE.2021.10.2.57
Keywords: Fuel Consumption, Prediction Model, Stacking Ensemble, Regression Model, OBDII
https://doi.org/10.3745/KTSDE.2021.10.2.57
Keywords: Fuel Consumption, Prediction Model, Stacking Ensemble, Regression Model, OBDII