Projects per year
Personal profile
Education
- 2014-2018 Ph.D., Department of Computer Science and Engineering, Yuan Ze University
- 2012-2014 M.S., Department of Computer Science and Engineering, Yuan Ze University
- 2005-2010 B.Eng. in Information Technology, Da Lat University, Vietnam
Experience
- 2019.08- Assistant Professor, Professional Master Program in Artificial Intelligence in Medicine, Taipei Medical University
- 2018.08-2019.08 Postdoctoral Research Fellow, School of Humanities, Nanyang Technological University, Singapore
- 2010.07-2012.02 VNG Corporation, VietnamAssociate QC Engineer
Research Interests
- Artificial Intelligence
- Deep learning
- Bioinformatics
- Biomedical and healthcare informatics
Fingerprint
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Network
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Projects
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結合放射基因組學和自然語言處理提升肺癌復發的預測表現
1/1/21 → 12/31/21
Project: B - Project of TMU › h - Higher Education Sprout Project
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結合放射基因組學和自然語言處理提升肺癌復發的預測表現
1/1/20 → 12/1/20
Project: B - Project of TMU › h - Higher Education Sprout Project
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Research output
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A computational framework based on ensemble deep neural networks for essential genes identification
Le, N. Q. K., Do, D. T., Hung, T. N. K., Lam, L. H. T., Huynh, T. T. & Nguyen, N. T. K., Dec 1 2020, In: International journal of molecular sciences. 21, 23, p. 1-16 16 p., 9070.Research output: Contribution to journal › Article › peer-review
Open Access11 Citations (Scopus) -
A New Self-Organizing Fuzzy Cerebellar Model Articulation Controller for Uncertain Nonlinear Systems Using Overlapped Gaussian Membership Functions
Huynh, T. T., Lin, C. M., Le, T. L., Cho, H. Y., Pham, T. T. T., Le, N. Q. K. & Chao, F., Nov 2020, In: IEEE Transactions on Industrial Electronics. 67, 11, p. 9671-9682 12 p., 8910581.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes
Le, N. Q. K., Ho, Q. T., Yapp, E. K. Y., Ou, Y. Y. & Yeh, H. Y., Jan 29 2020, In: Neurocomputing. 375, p. 71-79 9 p.Research output: Contribution to journal › Article › peer-review
8 Citations (Scopus) -
Incorporating convolutional neural networks and sequence graph transform for identifying multilabel protein Lysine PTM sites
Sua, J. N., Lim, S. Y., Yulius, M. H., Su, X., Yapp, E. K. Y., Le, N. Q. K., Yeh, H. Y. & Chua, M. C. H., Nov 15 2020, In: Chemometrics and Intelligent Laboratory Systems. 206, 104171.Research output: Contribution to journal › Article › peer-review
3 Citations (Scopus) -
Machine learning model for identifying antioxidant proteins using features calculated from primary sequences
Lam, L. H. T., Le, N. H., Van Tuan, L., Ban, H. T., Hung, T. N. K., Nguyen, N. T. K., Dang, L. H. & Le, N. Q. K., Oct 2020, In: Biology. 9, 10, p. 1-13 13 p., 325.Research output: Contribution to journal › Article › peer-review
Open Access9 Citations (Scopus)
Datasets
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Additional file 2 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.13126665.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_2_of_TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/13126665/1
Dataset
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Additional file 1 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.13126662.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_1_of_TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/13126662/1
Dataset
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TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.c.5182812.v1, https://springernature.figshare.com/collections/TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/5182812/1
Dataset
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Additional file 5 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.13126674.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_5_of_TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/13126674/1
Dataset
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Additional file 3 of TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings
Nguyen, T. (Contributor), Le, N. Q. K. (Contributor), Ho, Q. (Contributor), Phan, D. (Contributor) & Ou, Y. (Contributor), Unknown Publisher, Jan 1 2020
DOI: 10.6084/m9.figshare.13126668.v1, https://springernature.figshare.com/articles/journal_contribution/Additional_file_3_of_TNFPred_identifying_tumor_necrosis_factors_using_hybrid_features_based_on_word_embeddings/13126668/1
Dataset