Alexander Liu - researchr alias

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Viewing Publication 1 - 18 from 18

2022

2018

Transfer Learning for Entity Recognition of Novel ClassesJuan Diego Rodríguez, Adam Caldwell, Alexander Liu. COLING 2018: 1974-1985 [doi]

2012

EPON over Coax (EPoC)Edward Boyd, Hesham Elbakoury, Marek Hajduczenia, Alexander Liu. cm, 50(9):88-95, 2012. [doi]

Crowdsourcing Evaluations of Classifier InterpretabilityAmanda Hutton, Alexander Liu, Cheryl E. Martin. aaaiss 2012: [doi]

Using Consensus Clustering for Multi-view Anomaly DetectionAlexander Liu, Dung N. Lam. sp 2012: 117-124 [doi]

2011

Graph-Based Data Warehousing Using the Core-Facets ModelDung N. Lam, Alexander Liu, Cheryl E. Martin. incdm 2011: 240-254 [doi]

Smoothing Multinomial Naïve Bayes in the Presence of ImbalanceAlexander Liu, Cheryl E. Martin. mldm 2011: 46-59 [doi]

2010

Automated Hierarchical Density Shaving: A Robust Automated Clustering and Visualization Framework for Large Biological Data SetsGunjan Gupta, Alexander Liu, Joydeep Ghosh. tcbb, 7(2):223-237, 2010. [doi]

Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM ClassifiersAlexander Liu, Cheryl E. Martin, Brian La Cour, Joydeep Ghosh. In Robert Stahlbock, Sven F. Crone, Stefan Lessmann, editors, Data Mining - Special Issue in Annals of Information Systems. Volume 8 of Annals of Information Systems, pages 159-192, Springer, 2010. [doi]

2009

2008

Predicting Success and Failure in Weight Loss Blogs through Natural Language UseCindy K. Chung, Clinton Jones, Alexander Liu, James W. Pennebaker. icwsm 2008: [doi]

2007

Generative Oversampling for Mining Imbalanced DatasetsAlexander Liu, Joydeep Ghosh, Cheryl Martin. dmin 2007: 66-72

2006

Hierarchical Density Shaving: A clustering and visualization framework for large biological datasetsGunjan Gupta, Alexander Liu, Joydeep Ghosh. icdm 2006: 89-93 [doi]

AI Lessons Learned from Experiments in Insider Threat DetectionAlexander Liu, Cheryl E. Martin, Tom Hetherington, Sara Matzner. aaaiss 2006: 49-55 [doi]

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