Mineral identification based on data augmentation and ensemble learning

被引：0
|
作者：
Wang, Lin [1 ]
Ji, Xiaohui [1 ]
Yang, Mei [2 ]
He, Mingyue [2 ]
Zhang, Zhaochong [3 ]
Zeng, Shan [1 ]
Wang, Yuzhu [1 ]
机构：
[1] School of Information Engineering, China University of Geosciences (Beijing), Beijing,100083, China
[2] National Mineral Rock and Fossil Specimens Resource Center from MOST, China University of Geosciences (Beijing), Beijing,100083, China
[3] School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing,100083, China
来源：
Earth Science Frontiers | 2024年 / 31卷 / 04期
关键词：
Compendex;
D O I：
10.13745/j.esf.sf.2024.5.6
中图分类号：
学科分类号：
摘要：
Minerals
引用
收藏
页码：87 / 94
相关论文
共 50 条
  • [41] A Deep Learning-Based Human Identification System With Wi-Fi CSI Data Augmentation
    Mo, Hyunggeun
    Kim, Seungku
    IEEE ACCESS, 2021, 9 (09): : 91913 - 91920
  • [42] Automatic Fault Delineation in 3-D Seismic Images With Deep Learning: Data Augmentation or Ensemble Learning?
    Li, Shizhen
    Liu, Naihao
    Li, Fangyu
    Gao, Jinghuai
    Ding, Jicai
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [43] Imbalanced Data Classification Method Based on Ensemble Learning
    Xiang, Yu
    Xie, Yongping
    COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, CSPS 2018, VOL III: SYSTEMS, 2020, 517 : 18 - 24
  • [44] KDE-Based Ensemble Learning for Imbalanced Data
    Kamalov, Firuz
    Moussa, Sherif
    Reyes, Jorge Avante
    ELECTRONICS, 2022, 11 (17)
  • [45] Learning to Grasp Objects based on Ensemble Learning Combining Simulation Data and Real Data
    Na, Yong-Ho
    Jo, HyunJun
    Song, Jae-Bok
    2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2017, : 1030 - 1034
  • [46] Periodic Variable Star Classification with Deep Learning: Handling Data Imbalance in an Ensemble Augmentation Way
    Kang, Zihan
    Zhang, Yanxia
    Zhang, Jingyi
    Li, Changhua
    Kong, Minzhi
    Zhao, Yongheng
    Wu, Xue-Bing
    PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC, 2023, 135 (1051)
  • [47] A review of ensemble learning and data augmentation models for class imbalanced problems: Combination, implementation and evaluation
    Khan, Azal Ahmad
    Chaudhari, Omkar
    Chandra, Rohitash
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 244
  • [48] TabGAN-Powered Data Augmentation and Explainable Boosting-Based Ensemble Learning for Intrusion Detection in Industrial Control Systems
    Nguyen, Tuyen T.
    Nguyen, Phong H.
    Nguyen, Minh Q.
    Nguyen, Hoa N.
    COMPUTATIONAL COLLECTIVE INTELLIGENCE, PT II, ICCCI 2024, 2024, 14811 : 123 - 136
  • [49] Forest Management Type Identification Based on Stacking Ensemble Learning
    Liu, Jiang
    Chen, Jingmin
    Chen, Shaozhi
    Wu, Keyi
    FORESTS, 2024, 15 (05):
  • [50] Identification of Orphan Genes in Unbalanced Datasets Based on Ensemble Learning
    Gao, Qijuan
    Jin, Xiu
    Xia, Enhua
    Wu, Xiangwei
    Gu, Lichuan
    Yan, Hanwei
    Xia, Yingchun
    Li, Shaowen
    FRONTIERS IN GENETICS, 2020, 11
12345