Evaluation of Different Approaches to Training a Genre Classifier. - Vedrana Vidulin; Mitja Lustrek; Matjaz Gams (Artificial Intelligence and Pattern Recognition, 2007)

Training the Genre Classifier for Automatic Classification of Web Pages. - Vedrana Vidulin; Mitja Lustrek; Matjaz Gams (J. Comput. Inf. Technol., 2007)

Towards a Reference Corpus of Web Genres for the Evaluation of Genre Identification Systems. - Georg Rehm; Marina Santini; Alexander Mehler; Pavel Braslavski 001; Rüdiger Gleim; Andrea Stubbe; Svetlana Symonenko; Mirko Tavosanis; Vedrana Vidulin (LREC, 2008)

Multi-Label Approaches to Web Genre Identification. - Vedrana Vidulin; Mitja Lustrek; Matjaz Gams (J. Lang. Technol. Comput. Linguistics, 2009)

Localization Data for Person Activity. - Vedrana Vidulin; Mitja Lustrek; Bostjan Kaluza; Rok Piltaver; Jana Krivec (UCI Machine Learning Repository, 2010)

Impact of High-Level Knowledge on Economic Welfare through Interactive Data Mining. - Vedrana Vidulin; Matjaz Gams (Appl. Artif. Intell., 2011)

Searching for Credible Relations in Machine Learning. - Vedrana Vidulin (Informatica (Slovenia), 2013)

Combining human analysis and machine data mining to obtain credible data relations. - Vedrana Vidulin; Marko Bohanec; Matjaz Gams (Inf. Sci., 2014)

Web Genre Classification via Hierarchical Multi-label Classification. - Gjorgji Madjarov; Vedrana Vidulin; Ivica Dimitrovski; Dragi Kocev (IDEAL, 2015)

Extensive complementarity between gene function prediction methods. - Vedrana Vidulin; Tomislav Smuc; Fran Supek (Bioinform., 2016)

Phenotype Inference from Text and Genomic Data. - Maria Brbic; Matija Piskorec; Vedrana Vidulin; Anita Krisko; Tomislav Smuc; Fran Supek (ECML/PKDD (3), 2017)

Phenotype Prediction with Semi-supervised Classification Trees. - Jurica Levatic; Maria Brbic; Tomaz Stepisnik Perdih; Dragi Kocev; Vedrana Vidulin; Tomislav Smuc; Fran Supek; Saso Dzeroski (NFMCP@PKDD/ECML, 2017)

Web genre classification with methods for structured output prediction. - Gjorgji Madjarov; Vedrana Vidulin; Ivica Dimitrovski; Dragi Kocev (Inf. Sci., 2019)

Hierarchy Decomposition Pipeline: A Toolbox for Comparison of Model Induction Algorithms on Hierarchical Multi-label Classification Problems. - Vedrana Vidulin; Saso Dzeroski (DS, 2020)