Pang-Ning Tan

Affiliations: 
Computer Science - Doctor of Philosophy Michigan State University, East Lansing, MI 
Area:
Computer Science
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"Pang-Ning Tan"
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Publications

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Liu B, Wang D, Lin K, et al. (2022) RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection. Ijcai : Proceedings of the Conference. 2021: 1505-1511
Meng J, Peng W, Tan PN, et al. (2018) Diffusion size and structural virality: The effects of message and network features on spreading health information on twitter. Computers in Human Behavior. 89: 111-120
Xu J, Tan P, Zhou J, et al. (2017) Online Multi-Task Learning Framework for Ensemble Forecasting Ieee Transactions On Knowledge and Data Engineering. 29: 1268-1280
Abraham Z, Tan PN, Perdinan, et al. (2014) Contour regression: A distribution-regularized regression framework for climate modeling Statistical Analysis and Data Mining. 7: 272-281
Abraham Z, Tan PN, Perdinan, et al. (2013) Position preserving multi-output prediction Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8189: 320-335
Mandayam Comar P, Liu L, Saha S, et al. (2012) Weighted linear kernel with tree transformed features for malware detection Acm International Conference Proceeding Series. 2287-2290
Mandayam Comar P, Tan PN, Jain AK. (2012) A framework for joint community detection across multiple related networks Neurocomputing. 76: 93-104
Comar PM, Tan P, Jain AK. (2012) Simultaneous classification and community detection on heterogeneous network data Data Mining and Knowledge Discovery. 25: 420-449
Chen F, Ranjan S, Tan PN. (2011) Detecting bots via incremental LS-SVM learning with dynamic feature adaptation Proceedings of the Acm Sigkdd International Conference On Knowledge Discovery and Data Mining. 386-394
Winkler JA, Guentchev GS, Perdinan S, et al. (2011) Climate Scenario Development and Applications for Local/Regional Climate Change Impact Assessments: An Overview for the Non-Climate Scientist: Part I: Scenario Development Using Downscaling Methods Climate scenario development and applications I Geography Compass. 5: 275-300
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