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ORCIDAlexander Liu 0001
Person information
- affiliation (PhD 2009): University of Texas at Austin, Applied Research Laboratories, TX, USA
Other persons with the same name
- Alexander Liu — disambiguation page
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Journal Articles
- 2010
[j2]Gunjan Gupta, Alexander Liu, Joydeep Ghosh:
Automated Hierarchical Density Shaving: A Robust Automated Clustering and Visualization Framework for Large Biological Data Sets. IEEE ACM Trans. Comput. Biol. Bioinform. 7(2): 223-237 (2010)- 2009
- [j1]Alexander Liu, Goo Jun
, Joydeep Ghosh:
A self-training approach to cost sensitive uncertainty sampling. Mach. Learn. 76(2-3): 257-270 (2009)
Conference and Workshop Papers
- 2018
- [c12]Juan Diego Rodriguez, Adam Caldwell, Alexander Liu:
Transfer Learning for Entity Recognition of Novel Classes. COLING 2018: 1974-1985 - 2016
- [c11]Jette Henderson, Daniel Frazee, Nick Siegel, Cheryl Martin, Alexander Y. Liu:
Evaluating Methods for Distinguishing Between Human-Readable Text and Garbled Text. FLAIRS 2016: 276-281 - 2012
- [c10]Amanda Hutton, Alexander Liu, Cheryl Martin:
Crowdsourcing Evaluations of Classifier Interpretability. AAAI Spring Symposium: Wisdom of the Crowd 2012 - [c9]Alexander Y. Liu, Dung N. Lam:
Using Consensus Clustering for Multi-view Anomaly Detection. IEEE Symposium on Security and Privacy Workshops 2012: 117-124 - 2011
- [c8]Dung N. Lam, Alexander Y. Liu, Cheryl E. Martin:
Graph-Based Data Warehousing Using the Core-Facets Model. ICDM 2011: 240-254 - [c7]Alexander Y. Liu, Cheryl E. Martin:
Smoothing Multinomial Naïve Bayes in the Presence of Imbalance. MLDM 2011: 46-59 - 2009
- [c6]Alexander Liu, Goo Jun, Joydeep Ghosh:
Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs. IGARSS (5) 2009: 256-259 - [c5]Alexander Liu, Goo Jun, Joydeep Ghosh:
A Self-training Approach to Cost Sensitive Uncertainty Sampling. ECML/PKDD (1) 2009: 10 - [c4]Alexander Liu, Goo Jun, Joydeep Ghosh:
Spatially Cost-Sensitive Active Learning. SDM 2009: 814-825 - 2007
- [c3]Alexander Liu, Joydeep Ghosh, Cheryl Martin:
Generative Oversampling for Mining Imbalanced Datasets. DMIN 2007: 66-72 - 2006
- [c2]Alexander Liu, Cheryl Martin, Tom Hetherington, Sara Matzner:
AI Lessons Learned from Experiments in Insider Threat Detection. AAAI Spring Symposium: What Went Wrong and Why: Lessons from AI Research and Applications 2006: 49-55 - [c1]Gunjan Gupta, Alexander Liu, Joydeep Ghosh:
Hierarchical Density Shaving: A clustering and visualization framework for large biological datasets. ICDM Workshops 2006: 89-93
Parts in Books or Collections
- 2010
- [p1]Alexander Liu, Cheryl Martin, Brian La Cour, Joydeep Ghosh:
Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM Classifiers. Data Mining 2010: 159-192
Coauthor Index
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