Herna L. Viktor (Selection)

Herna Lydia Viktor

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34 Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo: Transductive Relational Classification in the Co-training Paradigm. MLDM 2012: 11-25

31 Eric Paquet, Herna L. Viktor, Hongyu Guo: To Aggregate or Not to Aggregate: That is the Question. KDIR 2011: 354-357

30 Hongyu Guo, Herna L. Viktor, Eric Paquet: Privacy Disclosure and Preservation in Learning with Multi-Relational Databases. JCSE 5(3): 183-196 (2011)

28 Hongyu Guo, Herna L. Viktor, Eric Paquet: Identifying and Preventing Data Leakage in Multi-relational Classification. ICDM Workshops 2010: 458-465

21 Hongyu Guo, Herna L. Viktor: Learning from Skewed Class Multi-relational Databases. Fundam. Inform. 89(1): 69-94 (2008)

20 Hongyu Guo, Herna L. Viktor: Multirelational classification: a multiple view approach. Knowl. Inf. Syst. 17(3): 287-312 (2008)

17 Hongyu Guo, Herna L. Viktor, Eric Paquet: Pruning Relations for Substructure Discovery of Multi-relational Databases. PKDD 2007: 462-470

15 Hongyu Guo, Herna L. Viktor: Multi-view ANNs for Multi-relational Classification. IJCNN 2006: 5259-5266

14 Hongyu Guo, Herna L. Viktor: Mining relational data through correlation-based multiple view validation. KDD 2006: 567-573

13 Herna L. Viktor, Eric Paquet, Hongyu Guo: Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification. PKDD 2006: 395-406

11 Hongyu Guo, Herna L. Viktor: Boosting with Data Generation: Improving the Classification of Hard to Learn Examples. IEA/AIE 2004: 1082-1091

10 Herna L. Viktor, Hongyu Guo: Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples. SSPR/SPR 2004: 974-982

9 Hongyu Guo, Herna L. Viktor: Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach. SIGKDD Explorations 6(1): 30-39 (2004)

Selection of 13 from 34 records - Herna L. Viktor has 19 coauthors

Last update 2012-09-10 CET by the DBLP Team —

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34		Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo: Transductive Relational Classification in the Co-training Paradigm. MLDM 2012: 11-25
31		Eric Paquet, Herna L. Viktor, Hongyu Guo: To Aggregate or Not to Aggregate: That is the Question. KDIR 2011: 354-357
30		Hongyu Guo, Herna L. Viktor, Eric Paquet: Privacy Disclosure and Preservation in Learning with Multi-Relational Databases. JCSE 5(3): 183-196 (2011)
28		Hongyu Guo, Herna L. Viktor, Eric Paquet: Identifying and Preventing Data Leakage in Multi-relational Classification. ICDM Workshops 2010: 458-465
21		Hongyu Guo, Herna L. Viktor: Learning from Skewed Class Multi-relational Databases. Fundam. Inform. 89(1): 69-94 (2008)
20		Hongyu Guo, Herna L. Viktor: Multirelational classification: a multiple view approach. Knowl. Inf. Syst. 17(3): 287-312 (2008)
17		Hongyu Guo, Herna L. Viktor, Eric Paquet: Pruning Relations for Substructure Discovery of Multi-relational Databases. PKDD 2007: 462-470
15		Hongyu Guo, Herna L. Viktor: Multi-view ANNs for Multi-relational Classification. IJCNN 2006: 5259-5266
14		Hongyu Guo, Herna L. Viktor: Mining relational data through correlation-based multiple view validation. KDD 2006: 567-573
13		Herna L. Viktor, Eric Paquet, Hongyu Guo: Measuring to Fit: Virtual Tailoring Through Cluster Analysis and Classification. PKDD 2006: 395-406
11		Hongyu Guo, Herna L. Viktor: Boosting with Data Generation: Improving the Classification of Hard to Learn Examples. IEA/AIE 2004: 1082-1091
10		Herna L. Viktor, Hongyu Guo: Multiple Classifier Prediction Improvements against Imbalanced Datasets through Added Synthetic Examples. SSPR/SPR 2004: 974-982
9		Hongyu Guo, Herna L. Viktor: Learning from imbalanced data sets with boosting and data generation: the DataBoost-IM approach. SIGKDD Explorations 6(1): 30-39 (2004)