Vedrana Vidulin
Vedrana Vidulin
Verified email at ijs.si
Title
Cited by
Cited by
Year
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
542019
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
502016
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
442008
Using genres to improve search engines
V Vidulin, M Luštrek, M Gams
Proc. of the Int. Workshop Towards Genre-Enabled Search Engines, 45-51, 2007
392007
Multi-Label Approaches to Web Genre Identification.
V Vidulin, M Lustrek, M Gams
J. Lang. Technol. Comput. Linguistics 24 (1), 97-114, 2009
272009
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
172007
Combining human analysis and machine data mining to obtain credible data relations
V Vidulin, M Bohanec, M Gams
Information sciences 288, 254-278, 2014
162014
Extensive complementarity between gene function prediction methods
V Vidulin, T Šmuc, F Supek
Bioinformatics 32 (23), 3645-3653, 2016
112016
Impact of high-level knowledge on economic welfare through interactive data mining
V Vidulin, M Gams
Applied artificial intelligence 25 (4), 267-291, 2011
72011
Analyzing the impact of investment in education and R&D on economic welfare with data mining
V Vidulin, M Gams
Entropy 1, 2, 2006
62006
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
42015
Web genre classification with methods for structured output prediction
G Madjarov, V Vidulin, I Dimitrovski, D Kocev
Information Sciences 503, 551-573, 2019
32019
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
22017
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
22017
Comparison of the Performance of Genre Classifiers Trained by Different Machine Learning Algorithms
V Vidulin, M Luštrek, M Gams
Information Society. Ljubljana, 2006
22006
The evolutionary signal in metagenome phyletic profiles predicts many gene functions
V Vidulin, T Šmuc, S Džeroski, F Supek
Microbiome 6 (1), 129, 2018
12018
Evaluation of Fusion Approaches in Large-scale Bio-annotation Setting
V Vidulin, MBF Supek, T Šmuc
This work was supported by ec under fp, Coordination and Support Action …, 2016
12016
Inteligentni sistem e-vratar
M Pušnik, R Piltaver, V Vidulin, M Gams
V Zborniku 16. mednarodne multikonference Informacijska družba, 2013
12013
Searching for Credible Relations in Machine Learning
V Vidulin
Informatica 37 (3), 2013
12013
Evaluation of Different Approaches to Training a Genre Classifier.
V Vidulin, M Lustrek, M Gams
Artificial Intelligence and Pattern Recognition, 515-520, 2007
12007
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