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ORCIDAlexander Liu
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2010 – 2019
- 2018
[c13]Juan Diego Rodríguez, Adam Caldwell, Alexander Liu:
Transfer Learning for Entity Recognition of Novel Classes. COLING 2018: 1974-1985- 2016
- [c12]Jette L. Henderson, Daniel J. Frazee, Nick P. Siegel, Cheryl E. Martin, Alexander Y. Liu:
Evaluating Methods for Distinguishing Between Human-Readable Text and Garbled Text. FLAIRS Conference 2016: 276-281 - 2012
- [j3]Edward Boyd, Hesham Elbakoury, Marek Hajduczenia, Alexander Liu:
EPON over Coax (EPoC). IEEE Commun. Mag. 50(9): 88-95 (2012) - [c11]Amanda Hutton, Alexander Liu, Cheryl E. Martin:
Crowdsourcing Evaluations of Classifier Interpretability. AAAI Spring Symposium: Wisdom of the Crowd 2012 - [c10]Alexander Liu, Dung N. Lam:
Using Consensus Clustering for Multi-view Anomaly Detection. IEEE Symposium on Security and Privacy Workshops 2012: 117-124 - 2011
- [c9]Dung N. Lam, Alexander Liu, Cheryl E. Martin:
Graph-Based Data Warehousing Using the Core-Facets Model. ICDM 2011: 240-254 - [c8]Alexander Liu, Cheryl E. Martin:
Smoothing Multinomial Naïve Bayes in the Presence of Imbalance. MLDM 2011: 46-59 - 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) - [p1]Alexander Liu, Cheryl E. Martin, Brian La Cour, Joydeep Ghosh:
Effects of Oversampling Versus Cost-Sensitive Learning for Bayesian and SVM Classifiers. Data Mining 2010: 159-192
2000 – 2009
- 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) - [c7]Alexander Liu, Goo Jun, Joydeep Ghosh:
Active Learning of Hyperspectral Data with Spatially Dependent Label Acquisition Costs. IGARSS (5) 2009: 256-259 - [c6]Alexander Liu, Goo Jun, Joydeep Ghosh:
A Self-training Approach to Cost Sensitive Uncertainty Sampling. ECML/PKDD (1) 2009: 10 - [c5]Alexander Liu, Goo Jun, Joydeep Ghosh:
Spatially Cost-Sensitive Active Learning. SDM 2009: 814-825 - 2008
- [c4]Cindy K. Chung, Clinton Jones, Alexander Liu, James W. Pennebaker:
Predicting Success and Failure in Weight Loss Blogs through Natural Language Use. ICWSM 2008 - 2007
- [c3]Alexander Liu, Joydeep Ghosh, Cheryl E. Martin:
Generative Oversampling for Mining Imbalanced Datasets. DMIN 2007: 66-72 - 2006
- [c2]Alexander Liu, Cheryl E. 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
Coauthor Index
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