 | 2011 |
| 9 |  | Nitesh V. Chawla,
Grigoris J. Karakoulas:
Learning From Labeled And Unlabeled Data: An Empirical Study Across Techniques And Domains
CoRR abs/1109.2047: (2011) |
| 2005 |
| 8 |  | 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 |  | Grigoris J. Karakoulas,
Ruslan Salakhutdinov:
Semi-Supervised Mixture-of-Experts Classification.
ICDM 2004: 138-145 |
| 2002 |
| 6 |  | Huma Lodhi,
Grigoris J. Karakoulas,
John Shawe-Taylor:
Boosting strategy for classification.
Intell. Data Anal. 6(2): 149-174 (2002) |
| 2001 |
| 5 |  | Grigoris J. Karakoulas,
Giovanni Semeraro:
Machine Learning for Intelligent Information Access.
Machine Learning and Its Applications 2001: 274-280 |
| 2000 |
| 4 |  | Huma Lodhi,
Grigoris J. Karakoulas,
John Shawe-Taylor:
Boosting the Margin Distribution.
IDEAL 2000: 54-59 |
| 1998 |
| 3 |  | 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 |  | Grigoris J. Karakoulas:
Probabilistic Exploration in Planning while Learning.
UAI 1995: 352-361 |