| Naziv |
Akcije |
| Vidulin, Vedrana ; Džeroski, Sašo
Hierarchy Decomposition Pipeline: A Toolbox for Comparison of Model Induction Algorithms on Hierarchical Multi-label Classification Problems // Lecture notes in computer science / Appice, A. ; Tsoumakas, G. ; Manolopoulos, Y. et al. (ur.). 2020. str. 486-501 doi: 10.1007/978-3-030-61527-7_32 |
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| Madjarov, Gjorgji ; Vidulin, Vedrana ; Dimitrovski, Ivica ; Kocev, Dragi
Web genre classification with methods for structured output prediction // Information sciences, 503 (2019), 551-573. doi: 10.1016/j.ins.2019.07.009 |
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| Zhou, Naihui ; Jiang, Yuxiang ; Bergquist, Timothy R. ; Lee, Alexandra J. ; Kacsoh, Balint Z. ; Crocker, Alex W. ; Lewis, Kimberley A. ; Georghiou, George ; Nguyen, Huy N. ; Hamid, Md Nafiz et al.
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens // Genome biology, 20 (2019), 1; 244, 23. doi: 10.1186/s13059-019-1835-8 |
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| Vidulin, Vedrana ; Šmuc, Tomislav ; Džeroski, Sašo ; Supek, Fran
The evolutionary signal in metagenome phyletic profiles predicts many gene functions // Microbiome, 6 (2018), 1; 129, 21. doi: 10.1186/s40168-018-0506-4 |
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| Brbić, Maria ; Piškorec, Matija ; Vidulin, Vedrana ; Kriško, Anita ; Šmuc, Tomislav ; Supek, Fran
Phenotype Inference from Text and Genomic Data // ECML-PKDD 2017, Lecture Notes in Computer Science / Altun, Yasemin ; Das, Kamalika ; et al. (ur.). Springer, 2017. str. 373-377 doi: 10.1007/978-3-319-71273-4_34 |
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| Levatić, Jurica ; Brbić, Maria ; Stepišnik Perdih, Tomaž ; Kocev, Dragi ; Vidulin, Vedrana ; Šmuc, Tomislav ; Supek, Fran ; Džeroski, Sašo
Phenotype prediction with semi-supervised learning // New frontiers in mining complex patterns NFMCP 2017, Lecture Notes in Computer Science. 2017. str. 1-11 |
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| Brbić, Maria ; Piškorec, Matija ; Vidulin, Vedrana ; Kriško, Anita ; Šmuc, Tomislav ; Supek, Fran
The landscape of microbial phenotypic traits and associated genes // Nucleic acids research, 44 (2016), 21; 10074-10090. doi: 10.1093/nar/gkw964 |
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| Vidulin, Vedrana ; Brbić, Maria ; Supek, Fran ; Šmuc, Tomislav
Evaluation of fusion approaches in large-scale bio-annotation setting // Proceedings of the 4th Workshop on Machine Learning in Life Sciences / Ksieniewicz, Pawel (ur.). Wrocław: European Research Centre of Network Intelligence for Innovation Enhancement, 2016. str. 37-51 |
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| Vidulin, Vedrana ; Šmuc, Tomislav ; Supek, Fran
Extensive Complementarity between Gene Function Prediction Methods // Bioinformatics, 32 (2016), 23; 3645-3653. doi: 10.1093/bioinformatics/btw532 |
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| Madjarov, Gjorgji ; Vidulin, Vedrana ; Dimitrovski, Ivica ; Kocev, Dragi
Web Genre Classification via Hierarchical Multi- label Classification // Lecture notes in computer science, LNCS 9375 (2015), 9-17. doi: 10.1007/978-3-319-24834-9_2 |
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