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Imbalanced data classification: Using transfer learning and active sampling.

Y. Liu, G. Yang, S. Qiao, M. Liu, L. Qu, N. Han, T. Wu, G. Yuan, T. Wu, and Y. Peng. Eng. Appl. Artif. Intell., 117 (Part): 105621 (2023)

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Changgeng Peng

Xiao-Wei Peng

Martin Peng

Guo Peng

Jianqiang Peng

Other publications of authors with the same name

T-GraphDTA: A Drug-Target Binding Affinity Prediction Framework Based on Protein Pre-training Model and Hybrid Graph Neural Network.Y. Wu, Y. Lin, Y. Peng, R. Zhang, and L. Cai. ICAI (1), volume 2014 of Communications in Computer and Information Science, page 113-123. Springer, (2023)Imbalanced data classification: Using transfer learning and active sampling.Y. Liu, G. Yang, S. Qiao, M. Liu, L. Qu, N. Han, T. Wu, G. Yuan, T. Wu, and Y. Peng. Eng. Appl. Artif. Intell., 117 (Part): 105621 (2023)MvMRL: a multi-view molecular representation learning method for molecular property prediction.R. Zhang, Y. Lin, Y. Wu, L. Deng, H. Zhang, M. Liao, and Y. Peng. Briefings Bioinform., (2024)A Soft Computing-Based Daily Rainfall Forecasting Model Using ELM and GEP.Y. Peng, H. Zhao, J. Li, X. Qin, J. Liao, and Z. Liu. ELM, volume 11 of Proceedings in Adaptation, Learning and Optimization, page 328-335. Springer, (2018)TOP: Towards Better Toxicity Prediction by Deep Molecular Representation Learning.Y. Peng, Z. Zhang, Q. Jiang, J. Guan, and S. Zhou. BIBM, page 318-325. IEEE, (2019)Multicellular Gene Expression Programming-Based Hybrid Model for Precipitation Prediction Coupled with EMD.H. Li, Y. Peng, C. Deng, Y. Pan, D. Gong, and H. Zhang. ICIC (1), volume 10954 of Lecture Notes in Computer Science, page 207-218. Springer, (2018)CDRM: Causal disentangled representation learning for missing data.M. Chen, H. Wang, R. Wang, Y. Peng, and H. Zhang. Knowl. Based Syst., (2024)A three-in-one dynamic shared bicycle demand forecasting model under non-classical conditions.S. Qiao, N. Han, H. Li, G. Yuan, T. Wu, Y. Peng, H. Cai, and J. Huang. Appl. Intell., 54 (17-18): 8592-8611 (September 2024)GEP-DL4Mol: A Novel Molecular Deep-learning Model Optimization Framework for Boosting Molecular Properties Prediction*.Y. Peng, H. Zhang, Z. Zhang, Y. Lin, S. Zhou, and S. Qiao. BIBM, page 432-435. IEEE, (2023)An Extreme Learning Machine and Gene Expression Programming-Based Hybrid Model for Daily Precipitation Prediction.Y. Peng, H. Zhao, H. Zhang, W. Li, X. Qin, J. Liao, Z. Liu, and J. Li. Int. J. Comput. Intell. Syst., 12 (2): 1512-1525 (2019)

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Disambiguation of "Peng, Yuzhong"

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Imbalanced data classification: Using transfer learning and active sampling.

Please choose a person to relate this publication to

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Guo Peng

Jianqiang Peng

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Peng, Yuzhong"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Imbalanced data classification: Using transfer learning and active sampling.

Please choose a person to relate this publication to

Changgeng Peng

Xiao-Wei Peng

Martin Peng

Guo Peng

Jianqiang Peng

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Imbalanced data classification: Using transfer learning and active sampling.