Pang-Ning Tan
Affiliations: | Computer Science - Doctor of Philosophy | Michigan State University, East Lansing, MI |
Area:
Computer ScienceGoogle:
"Pang-Ning Tan"Children
Sign in to add traineeH. D. Moonesinghe | grad student | 2007 | Michigan State |
Haibin Cheng | grad student | 2008 | Michigan State |
Samah J. Fodeh | grad student | 2010 | Michigan State |
Zubin Abraham | grad student | 2013 | Michigan State |
Prakash Mandayam Comar | grad student | 2013 | Michigan State |
BETA: Related publications
See more...
Publications
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
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 |