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ORCIDVedrana Vidulin
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2020 – today
- 2020
[c6]Vedrana Vidulin, Saso Dzeroski:
Hierarchy Decomposition Pipeline: A Toolbox for Comparison of Model Induction Algorithms on Hierarchical Multi-label Classification Problems. DS 2020: 486-501
2010 – 2019
- 2019
- [j7]Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski, Dragi Kocev:
Web genre classification with methods for structured output prediction. Inf. Sci. 503: 551-573 (2019) - 2017
- [c5]Jurica Levatic, Maria Brbic
, Tomaz Stepisnik Perdih, Dragi Kocev, Vedrana Vidulin, Tomislav Smuc, Fran Supek, Saso Dzeroski:
Phenotype Prediction with Semi-supervised Classification Trees. NFMCP@PKDD/ECML 2017: 138-150 - [c4]Maria Brbic, Matija Piskorec, Vedrana Vidulin, Anita Krisko, Tomislav Smuc, Fran Supek:
Phenotype Inference from Text and Genomic Data. ECML/PKDD (3) 2017: 373-377 - 2016
- [j6]Vedrana Vidulin, Tomislav Smuc, Fran Supek:
Extensive complementarity between gene function prediction methods. Bioinform. 32(23): 3645-3653 (2016) - 2015
- [c3]Gjorgji Madjarov, Vedrana Vidulin, Ivica Dimitrovski, Dragi Kocev:
Web Genre Classification via Hierarchical Multi-label Classification. IDEAL 2015: 9-17 - 2014
- [j5]Vedrana Vidulin, Marko Bohanec, Matjaz Gams:
Combining human analysis and machine data mining to obtain credible data relations. Inf. Sci. 288: 254-278 (2014) - 2013
- [j4]Vedrana Vidulin:
Searching for Credible Relations in Machine Learning. Informatica (Slovenia) 37(3): 355-356 (2013) - 2011
- [j3]Vedrana Vidulin, Matjaz Gams:
Impact of High-Level Knowledge on Economic Welfare through Interactive Data Mining. Appl. Artif. Intell. 25(4): 267-291 (2011)
2000 – 2009
- 2009
- [j2]Vedrana Vidulin, Mitja Lustrek, Matjaz Gams:
Multi-Label Approaches to Web Genre Identification. J. Lang. Technol. Comput. Linguistics 24(1): 97-114 (2009) - 2008
- [c2]Georg Rehm, Marina Santini, Alexander Mehler, Pavel Braslavski, Rüdiger Gleim, Andrea Stubbe, Svetlana Symonenko, Mirko Tavosanis, Vedrana Vidulin:
Towards a Reference Corpus of Web Genres for the Evaluation of Genre Identification Systems. LREC 2008 - 2007
- [j1]Vedrana Vidulin, Mitja Lustrek, Matjaz Gams:
Training the Genre Classifier for Automatic Classification of Web Pages. J. Comput. Inf. Technol. 15(4): 305-311 (2007) - [c1]Vedrana Vidulin, Mitja Lustrek, Matjaz Gams:
Evaluation of Different Approaches to Training a Genre Classifier. Artificial Intelligence and Pattern Recognition 2007: 515-520
Coauthor Index
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