Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Blaž Zupan"'
Publikováno v:
Economic and Business Review, Vol 25, Iss 4 (2023)
The formation of entrepreneurship-related human capital in primary-school entrepreneurship education programs (EEPs) is of great interest to European policymakers. European education systems have widely implemented EEPs since the Oslo Agenda for entr
Externí odkaz:
https://doaj.org/article/05d8a0e9daaa43c590b560bd0eba9586
Autor:
Primož Godec, Matjaž Pančur, Nejc Ilenič, Andrej Čopar, Martin Stražar, Aleš Erjavec, Ajda Pretnar, Janez Demšar, Anže Starič, Marko Toplak, Lan Žagar, Jan Hartman, Hamilton Wang, Riccardo Bellazzi, Uroš Petrovič, Silvia Garagna, Maurizio Zuccotti, Dongsu Park, Gad Shaulsky, Blaž Zupan
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-7 (2019)
Deep learning approaches for image preprocessing and analysis offer important advantages, but these are rarely incorporated into user-friendly software. Here the authors present an easy-to-use visual programming toolbox integrating deep-learning and
Externí odkaz:
https://doaj.org/article/8fe78876de9a43e59a6f2f0dc33ed1f8
Publikováno v:
Journal of Statistical Software, Vol 98, Iss 1 (2021)
Conformal predictors estimate the reliability of outcomes made by supervised machine learning models. Instead of a point value, conformal prediction defines an outcome region that meets a user-specified reliability threshold. Provided that the data a
Externí odkaz:
https://doaj.org/article/efcf25d2125f4c8a835c9275e9c9f1aa
Autor:
Janez Demšar, Blaž Zupan
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 3, p e1008671 (2021)
Overfitting is one of the critical problems in developing models by machine learning. With machine learning becoming an essential technology in computational biology, we must include training about overfitting in all courses that introduce this techn
Externí odkaz:
https://doaj.org/article/1c533e2961fa49889f84bd84fb547ea3
Publikováno v:
BioData Mining, Vol 10, Iss 1, Pp 1-16 (2017)
Abstract Background Matrix factorization is a well established pattern discovery tool that has seen numerous applications in biomedical data analytics, such as gene expression co-clustering, patient stratification, and gene-disease association mining
Externí odkaz:
https://doaj.org/article/1d3af326feb2487f9bbf5409188124f1
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0217994 (2019)
Non-negative matrix tri-factorization (NMTF) is a popular technique for learning low-dimensional feature representation of relational data. Currently, NMTF learns a representation of a dataset through an optimization procedure that typically uses mul
Externí odkaz:
https://doaj.org/article/23cfd6d46a6e45f98b6519e0c5da90bc
Autor:
Blaž Zupan, Anja Svetina Nabergoj
Publikováno v:
Economic and Business Review, Vol 16, Iss Posebna stevilka, Pp 49-74 (2014)
V članku sta proučena uporaba dizajnerskega pristopa (angl. design thinking kot sodobne metode poučevanja v izobraževalnem procesu podjetništva in raziskan razvoj podjetniških kompetenc na primeru dodiplomskega predmeta. Podjetništvo je kot vi
Externí odkaz:
https://doaj.org/article/5b05635213eb4fefa110e70d15dffe4a
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 10, p e1004552 (2015)
Data integration procedures combine heterogeneous data sets into predictive models, but they are limited to data explicitly related to the target object type, such as genes. Collage is a new data fusion approach to gene prioritization. It considers d
Externí odkaz:
https://doaj.org/article/3db88e6e2baf476282ff43473e8cb746
Autor:
Jaka Vadnjal, Blaž Zupan
Publikováno v:
Economic and Business Review, Vol 11, Iss 2, Pp 159-177 (2010)
The role of women in family businesses is explored in the paper. Although recognised as generally very important players, the role of women is oft en defined as invisible in business decision-making, supportive in men’s traditional business domains
Externí odkaz:
https://doaj.org/article/195cdde8889d4defb092381708125f51
Autor:
Zhen Wang, Melis Kayikci, Michael Briese, Kathi Zarnack, Nicholas M Luscombe, Gregor Rot, Blaž Zupan, Tomaž Curk, Jernej Ule
Publikováno v:
PLoS Biology, Vol 8, Iss 10, p e1000530 (2010)
The regulation of alternative splicing involves interactions between RNA-binding proteins and pre-mRNA positions close to the splice sites. T-cell intracellular antigen 1 (TIA1) and TIA1-like 1 (TIAL1) locally enhance exon inclusion by recruiting U1
Externí odkaz:
https://doaj.org/article/a8d5a0e896eb4e3c9d1ffb8f295dfa6b