Vedrana Vidulin
Vedrana Vidulin
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The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20 (1), 1-23, 2019
The landscape of microbial phenotypic traits and associated genes
M Brbić, M Piškorec, V Vidulin, A Kriško, T Šmuc, F Supek
Nucleic acids research, gkw964, 2016
Towards a Reference Corpus of Web Genres for the Evaluation of Genre Identification Systems.
G Rehm, M Santini, A Mehler, P Braslavski, R Gleim, A Stubbe, ...
LREC, 2008
Using genres to improve search engines
V Vidulin, M Luštrek, M Gams
1st International Workshop: Towards Genre-Enabled Search Engines: The Impact …, 2007
Multi-Label Approaches to Web Genre Identification.
V Vidulin, M Lustrek, M Gams
J. Lang. Technol. Comput. Linguistics 24 (1), 97-114, 2009
Training a genre classifier for automatic classification of Web pages
V Vidulin, M Luštrek, M Gams
Journal of computing and information technology 15 (4), 305-311, 2007
Combining human analysis and machine data mining to obtain credible data relations
V Vidulin, M Bohanec, M Gams
Information sciences 288, 254-278, 2014
Extensive complementarity between gene function prediction methods
V Vidulin, T Šmuc, F Supek
Bioinformatics 32 (23), 3645-3653, 2016
Web genre classification with methods for structured output prediction
G Madjarov, V Vidulin, I Dimitrovski, D Kocev
Information Sciences 503, 551-573, 2019
Impact of high-level knowledge on economic welfare through interactive data mining
V Vidulin, M Gams
Applied artificial intelligence 25 (4), 267-291, 2011
Analyzing the impact of investment in education and R&D on economic welfare with data mining
V Vidulin, M Gams
Entropy 1, 2, 2006
Localization Data for Person Activity Data Set
M Luštrek, B Kaluža, R Piltaver, J Krivec, V Vidulin
The evolutionary signal in metagenome phyletic profiles predicts many gene functions
V Vidulin, T Šmuc, S Džeroski, F Supek
Microbiome 6 (1), 1-21, 2018
Web genre classification via hierarchical multi-label classification
G Madjarov, V Vidulin, I Dimitrovski, D Kocev
International Conference on Intelligent Data Engineering and Automated …, 2015
Phenotype inference from text and genomic data
M Brbić, M Piškorec, V Vidulin, A Kriško, T Šmuc, F Supek
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
Phenotype prediction with semi-supervised learning
J Levatic, M Brbic, T Perdih, D Kocev, V Vidulin, T Šmuc, F Supek, ...
Proceedings of the New Frontiers in Mining Complex Patterns: Sixth Edition …, 2017
Comparison of the Performance of Genre Classifiers Trained by Different Machine Learning Algorithms
V Vidulin, M Luštrek, M Gams
Information Society. Ljubljana, 2006
Evaluation of Fusion Approaches in Large-scale Bio-annotation Setting
V Vidulin, MBF Supek, T Šmuc
V: 4th Workshop on Machine Learning in Life Science 23, 37-51, 2016
Inteligentni sistem e-vratar
M Pušnik, R Piltaver, V Vidulin, M Gams
V Zborniku 16. mednarodne multikonference Informacijska družba, 2013
Searching for Credible Relations in Machine Learning
V Vidulin
Informatica 37 (3), 2013
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