Theo dõi
Vedrana Vidulin
Vedrana Vidulin
Pink Data Analytics
Email được xác minh tại pinkdataanalytics.com - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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, 1-23, 2019
4402019
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
1182016
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
532008
Using genres to improve search engines
V Vidulin, M Luštrek, M Gams
1st International Workshop: Towards Genre-Enabled Search Engines: The Impact …, 2007
512007
Multi-label approaches to web genre identification
V Vidulin, M Luštrek, M Gams
Journal for language technology and computational linguistics 24 (1), 97-114, 2009
412009
Web genre classification with methods for structured output prediction
G Madjarov, V Vidulin, I Dimitrovski, D Kocev
Information Sciences 503, 551-573, 2019
302019
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
242007
Extensive complementarity between gene function prediction methods
V Vidulin, T Šmuc, F Supek
Bioinformatics 32 (23), 3645-3653, 2016
172016
Combining human analysis and machine data mining to obtain credible data relations
V Vidulin, M Bohanec, M Gams
Information Sciences 288, 254-278, 2014
172014
Localization data for person activity
V Vidulin, M Lustrek, B Kaluza, R Piltaver, J Krivec
UCI Machine Learning Repository 10, C57G8X, 2010
102010
The evolutionary signal in metagenome phyletic profiles predicts many gene functions
V Vidulin, T Šmuc, S Džeroski, F Supek
Microbiome 6, 1-21, 2018
82018
Web genre classification via hierarchical multi-label classification
G Madjarov, V Vidulin, I Dimitrovski, D Kocev
Intelligent Data Engineering and Automated Learning–IDEAL 2015: 16th …, 2015
82015
Analyzing the impact of investment in education and R&D on economic welfare with data mining
V Vidulin, M Gams
Entropy 1, 2, 2006
72006
Impact of high-level knowledge on economic welfare through interactive data mining
V Vidulin, M Gams
Applied artificial intelligence 25 (4), 267-291, 2011
62011
Localization Data for Person Activity Data Set
M Luštrek, B Kaluža, R Piltaver, J Krivec, V Vidulin
52010
Phenotype inference from text and genomic data
M Brbić, M Piškorec, V Vidulin, A Kriško, T Šmuc, F Supek
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
42017
Phenotype prediction with semi-supervised classification trees
J Levatić, M Brbić, TS Perdih, D Kocev, V Vidulin, T Šmuc, F Supek, ...
New Frontiers in Mining Complex Patterns: 6th International Workshop, NFMCP …, 2018
32018
Searching for credible relations in machine learning
V Vidulin
Informatica 37 (3), 2013
32013
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
Hệ thống không thể thực hiện thao tác ngay bây giờ. Hãy thử lại sau.
Bài viết 1–20