2005 |
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 |