引用次数
引用: 733
H-指数: 9
I10-指数 : 9
出版物: 35
Evaluation of Different Approaches to Training a Genre Classifier.
Mitja Lustrek , Matjaz Gams , Vedrana Vidulin
artificial intelligence and pattern recognition 515 -520
1
2007
Constructivist Learning Theory as a Link between Artificial Neural Networks and Intelligent Tutoring Systems
Vedrana Vidulin
Organizacija 39 ( 2)
2006
Searching for Credible Relations in Machine Learning
Vedrana Vidulin
Informatica (lithuanian Academy of Sciences) 37 ( 3) 355 -356
1
2013
Evaluation of fusion approaches in large-scale bio-annotation setting
Tomislav Šmuc , Fran Supek , Maria Brbić , Vedrana Vidulin
4th Workshop on Machine Learning in Life Science 37
2016
Multi-Label Approaches to Web Genre Identification.
Mitja Lustrek , Matjaz Gams , Vedrana Vidulin
J. Lang. Technol. Comput. Linguistics 24 97 -114
38
2009
IMPACT OF HIGH-LEVEL KNOWLEDGE ON ECONOMIC WELFARE THROUGH INTERACTIVE DATA MINING
Vedrana Vidulin , Matjaz Gams
Applied Artificial Intelligence 25 ( 4) 267 -291
4
2011
Web Genre Classification via Hierarchical Multi-label Classification
Gjorgji Madjarov , Vedrana Vidulin , Ivica Dimitrovski , Dragi Kocev
intelligent data engineering and automated learning 9 -17
3
2015
Phenotype Inference from Text and Genomic Data
Maria Brbić , Matija Piškorec , Vedrana Vidulin , Anita Kriško
Machine Learning and Knowledge Discovery in Databases 373 -377
4
2017
Hierarchy Decomposition Pipeline: A Toolbox for Comparison of Model Induction Algorithms on Hierarchical Multi-label Classification Problems.
Vedrana Vidulin , Sašo Džeroski
discovery science 486 -501
2020
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
Hafeez Ur Rehman , Qizhong Mao , Shanshan Zhang , Slobodan Vucetic
Genome Biology 20 ( 1) 244 -244
249
2019
Extensive complementarity between gene function prediction methods
Vedrana Vidulin , Tomislav Šmuc , Fran Supek
Bioinformatics 32 ( 23) 3645 -3653
9
2016
Combining human analysis and machine data mining to obtain credible data relations
Vedrana Vidulin , Marko Bohanec , Matjaž Gams
Information Sciences 288 254 -278
11
2014
Training a Genre Classifier for Automatic Classification of Web Pages
Vedrana Vidulin , Mitja Lustrek , Matjaz Gams
computer and information technology 15 ( 4) 305 -311
4
2007
The landscape of microbial phenotypic traits and associated genes
Maria Brbić , Matija Piškorec , Vedrana Vidulin , Anita Kriško
Nucleic Acids Research 44 ( 21) 10074 -10090
58
2016
The evolutionary signal in metagenome phyletic profiles predicts many gene functions
Vedrana Vidulin , Tomislav Šmuc , Sašo Džeroski , Fran Supek
Microbiome 6 ( 1) 1 -21
1
2018
Web genre classification with methods for structured output prediction
Gjorgji Madjarov , Vedrana Vidulin , Ivica Dimitrovski , Dragi Kocev
Information Sciences 503 551 -573
5
2019
Using genres to improve search engines
Vedrana Vidulin , Mitja Luštrek , Matjaž Gams
1st International Workshop: Towards Genre-Enabled Search Engines: The Impact of Natural Language Processing 45 -51
49
2007
Comparison of the Performance of Genre Classifiers Trained by Different Machine Learning Algorithms
Vedrana Vidulin , Mitja Luštrek , Matjaž Gams
Information Society. Ljubljana
2
2006
Towards a Reference Corpus of Web Genres for the Evaluation of Genre Identification Systems.
Georg Rehm , Marina Santini , Alexander Mehler , Pavel Braslavski
LREC
47
2008
Phenotype prediction with semi-supervised classification trees
Jurica Levatić , Maria Brbić , Tomaž Stepišnik Perdih , Dragi Kocev
New Frontiers in Mining Complex Patterns: 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers 6 138 -150
3
2018