Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning-Reference-Cited by-同舟云学术

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Improving Molecular Property Prediction on Limited Data with Deep Multi-Label Learning

Published:2020-12-16 Issue: Volume: Page:
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Container-title:2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Ma Hehuan,Yan Chaochao,Guo Yuzhi,Wang Sheng,Wang Yuhong,Sun Hongmao,Huang Junzhou

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9312958/9312977/09313553.pdf?arnumber=9313553

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Impact of Domain Knowledge and Multi-Modality on Intelligent Molecular Property Prediction: A Systematic Survey;Big Data Mining and Analytics;2024-09

2. FTMMR: Fusion Transformer for Integrating Multiple Molecular Representations;IEEE Journal of Biomedical and Health Informatics;2024-07

3. Molecule Sequence Generation with Rebalanced Variational Autoencoder Loss;Journal of Computational Biology;2023-01-01

4. Small dataset solves big problem: An outlier-insensitive binary classifier for inhibitory potency prediction;Knowledge-Based Systems;2022-09

5. Robust self-training strategy for various molecular biology prediction tasks;Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics;2022-08-07

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