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2005 | ||
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8 | EE | Nitesh V. Chawla, Grigoris J. Karakoulas: Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains. J. Artif. Intell. Res. (JAIR) 23: 331-366 (2005) |
2004 | ||
7 | EE | Grigoris J. Karakoulas, Ruslan Salakhutdinov: Semi-Supervised Mixture-of-Experts Classification. ICDM 2004: 138-145 |
2002 | ||
6 | EE | Huma Lodhi, Grigoris J. Karakoulas, John Shawe-Taylor: Boosting strategy for classification. Intell. Data Anal. 6(2): 149-174 (2002) |
2001 | ||
5 | EE | Grigoris J. Karakoulas, Giovanni Semeraro: Machine Learning for Intelligent Information Access. Machine Learning and Its Applications 2001: 274-280 |
2000 | ||
4 | EE | Huma Lodhi, Grigoris J. Karakoulas, John Shawe-Taylor: Boosting the Margin Distribution. IDEAL 2000: 54-59 |
1998 | ||
3 | EE | Grigoris J. Karakoulas, John Shawe-Taylor: Optimizing Classifers for Imbalanced Training Sets. NIPS 1998: 253-259 |
2 | Grigoris J. Karakoulas, Innes A. Ferguson: Applying SIGMA to the TREC-7 Filtering Track. TREC 1998: 258-263 | |
1995 | ||
1 | EE | Grigoris J. Karakoulas: Probabilistic Exploration in Planning while Learning. UAI 1995: 352-361 |
1 | Nitesh V. Chawla | [8] |
2 | Innes A. Ferguson | [2] |
3 | Huma Lodhi | [4] [6] |
4 | Ruslan Salakhutdinov | [7] |
5 | Giovanni Semeraro | [5] |
6 | John Shawe-Taylor | [3] [4] [6] |