See-Kiong Ng 个人学术档案 - 学术资源搜索

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Xiaoli Li (李晓黎)IEEE Fellow, Dept Head, Institute for Infocomm Research, A*STAR; Adjunct Professor NTU在 i2r.a-star.edu.sg 的电子邮件经过验证
Chris Soon Heng TanDepartment of Chemistry, Southern University of Science and Technology在 sustech.edu.cn 的电子邮件经过验证
Chee Keong KWOHNanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
Limsoon Wong 黄任祥KITHCT Professor of Computer Science & Professor of Pathology, National University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证
Wynne HSUProfessor of Computer Science, National Univeristy of Singapore在 comp.nus.edu.sg 的电子邮件经过验证
Wu MinPrincipal Scientist, Institute for Infocomm Research在 i2r.a-star.edu.sg 的电子邮件经过验证
Mong Li LeeProfessor of Computer Science, National University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证
Jin ChenDepartment of Medicine, Department of Biomedical Informatics, University of Alabama at Birmingham在 uab.edu 的电子邮件经过验证
Wing-Kin Sung (宋永健)Professor of Chemical Pathology, Chinese University of Hong Kong在 cuhk.edu.hk 的电子邮件经过验证
Kenny ChuaUniversity of Toronto在 i2r.a-star.edu.sg 的电子邮件经过验证
Bing LiuDistinguished Professor, University of Illinois at Chicago在 uic.edu 的电子邮件经过验证
Willy Hugo, PhDUCLA School of Medicine在 mednet.ucla.edu 的电子邮件经过验证
Jinyan LiDistinguished Professor, 深圳理工大学；Adjunct Professor, University of Technology Sydney在 uts.edu.au 的电子邮件经过验证
Eng Yeow CheuInstitute for Infocomm Research在 pmail.ntu.edu.sg 的电子邮件经过验证
Mafruz Zaman AshrafiTakeda在 takeda.com 的电子邮件经过验证
Hong Cao (曹鸿)Director of Analytics, EY Advisory Pte Ltd, Singapore在 sg.ey.com 的电子邮件经过验证
Philip S. YuProfessor of Computer Science, University of Illinons at Chicago在 cs.uic.edu 的电子邮件经过验证
Jong C. ParkProfessor, School of Computing, KAIST在 kaist.ac.kr 的电子邮件经过验证

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See-Kiong Ng

Institute of Data Science and School of Computing, National University of Singapore

在 nus.edu.sg 的电子邮件经过验证 - 首页

data mining machine learning artificial intelligence natural language processing smart cities


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
MAD-GAN: Multivariate anomaly detection for time series data with generative adversarial networks D Li, D Chen, B Jin, L Shi, J Goh, SK Ng International conference on artificial neural networks, 703-716, 2019	968	2019
A core-attachment based method to detect protein complexes in PPI networks M Wu, X Li, CK Kwoh, SK Ng BMC bioinformatics 10, 1-16, 2009	419	2009
Computational approaches for detecting protein complexes from protein interaction networks: a survey X Li, M Wu, CK Kwoh, SK Ng BMC genomics 11, 1-19, 2010	412	2010
Anomaly detection with generative adversarial networks for multivariate time series D Li, D Chen, J Goh, S Ng arXiv preprint arXiv:1809.04758, 2018	331	2018
Gptscore: Evaluate as you desire J Fu, SK Ng, Z Jiang, P Liu arXiv preprint arXiv:2302.04166, 2023	264	2023
Integrative approach for computationally inferring protein domain interactions SK Ng, Z Zhang, SH Tan Proceedings of the 2003 ACM symposium on Applied computing, 115-121, 2003	241	2003
Positive-unlabeled learning for disease gene identification P Yang, XL Li, JP Mei, CK Kwoh, SK Ng Bioinformatics 28 (20), 2640-2647, 2012	221	2012
Toward routine automatic pathway discovery from on-line scientific text abstracts SK Ng, M Wong Genome Informatics 10, 104-112, 1999	210	1999
InterDom: a database of putative interacting protein domains for validating predicted protein interactions and complexes SK Ng, Z Zhang, SH Tan, K Lin Nucleic acids research 31 (1), 251-254, 2003	207	2003
Interaction graph mining for protein complexes using local clique merging XL Li, CS Foo, SH Tan, SK Ng Genome Informatics 16 (2), 260-269, 2005	192	2005
Discovery of significant rules for classifying cancer diagnosis data J Li, H Liu, SK Ng, L Wong Bioinformatics-Oxford 19 (2), 93-102, 2003	168	2003
Nemofinder: Dissecting genome-wide protein-protein interactions with meso-scale network motifs J Chen, W Hsu, ML Lee, SK Ng Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006	165	2006
Positive unlabeled learning for data stream classification XL Li, PS Yu, B Liu, SK Ng Proceedings of the 2009 SIAM international conference on data mining, 259-270, 2009	163	2009
Toward fully automated genotyping: genotyping microsatellite markers by deconvolution. MW Perlin, G Lancia, SK Ng American journal of human genetics 57 (5), 1199, 1995	156	1995
Integrated oversampling for imbalanced time series classification H Cao, XL Li, DYK Woon, SK Ng IEEE Transactions on Knowledge and Data Engineering 25 (12), 2809-2822, 2013	139	2013
Discovering protein complexes in dense reliable neighborhoods of protein interaction networks XL Li, CS Foo, SK Ng Computational Systems Bioinformatics: (Volume 6), 157-168, 2007	135	2007
Positive unlabeled learning for time series classification MN Nguyen, XL Li, SK Ng Twenty-Second International Joint Conference on Artificial Intelligence, 2011	127	2011
Intelligent fault diagnosis under varying working conditions based on domain adaptive convolutional neural networks B Zhang, W Li, XL Li, SK Ng Ieee Access 6, 66367-66384, 2018	121	2018
Ensemble positive unlabeled learning for disease gene identification P Yang, X Li, HN Chua, CK Kwoh, SK Ng PloS one 9 (5), e97079, 2014	115	2014
Inferring gene-phenotype associations via global protein complex network propagation P Yang, X Li, M Wu, CK Kwoh, SK Ng PloS one 6 (7), e21502, 2011	113	2011

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