Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Luo:2019:IJCNN,
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author = "Ziqian Luo and Xiangrui Zeng and Zhipeng Bao and
Min Xu",
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booktitle = "2019 International Joint Conference on Neural Networks
(IJCNN)",
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title = "Deep Learning-Based Strategy For Macromolecules
Classification with Imbalanced Data from Cellular
Electron Cryotomography",
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year = "2019",
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abstract = "Deep learning model trained by imbalanced data may not
work satisfactorily since it could be determined by
major classes and thus may ignore the classes with
small amount of data. In this paper, we apply deep
learning based imbalanced data classification for the
first time to cellular macromolecular complexes
captured by Cryo-electron tomography (Cryo-ET). We
adopt a range of strategies to cope with imbalanced
data, including data sampling, bagging, boosting,
Genetic Programming based method and. Particularly,
inspired from Inception 3D network, we propose a
multi-path CNN model combining focal loss and mixup on
the Cryo-ET dataset to expand the dataset, where each
path had its best performance corresponding to each
type of data and let the network learn the combinations
of the paths to improve the classification performance.
In addition, extensive experiments have been conducted
to show our proposed method is flexible enough to cope
with different number of classes by adjusting the
number of paths in our multi-path model. To our
knowledge, this work is the first application of deep
learning methods of dealing with imbalanced data to the
internal tissue classification of cell macromolecular
complexes, which opened up a new path for cell
classification in the field of computational biology.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/IJCNN.2019.8851972",
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ISSN = "2161-4407",
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month = jul,
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notes = "Also known as \cite{8851972}",
- }
Genetic Programming entries for
Ziqian Luo
Xiangrui Zeng
Zhipeng Bao
Min Xu
Citations