Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Dalbelo Bašić, Bojana"'
Autor:
Bezjak, Miran, Stresec, Ivan, Jadrijević, Stipislav, Kocman, Branislav, Filipec Kanižaj, Tajana, Antonijević, Miro, Dalbelo Bašić, Bojana, Mikulić, Danko
Liver transplant allocation policies evolve over time. With no universal algorithm to predict the outcome of liver transplantation allocation, donor-recipient matching still relies heavily on the experience of the transplant team. Machine learning mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::497e894c1288fbd2062f7428383dac5f
https://www.bib.irb.hr/1270655
https://www.bib.irb.hr/1270655
Publikováno v:
In Expert Systems With Applications 1 November 2012 39(15):12143-12157
Autor:
Štajduhar, Ivan, Dalbelo-Bašić, Bojana
Publikováno v:
In Expert Systems With Applications 15 June 2012 39(8):7226-7234
Autor:
Bezjak, Miran, Kocman, Branislav, Jadrijević, Stipislav, Filipec Kanižaj, Tajana, Dalbelo Bašić, Bojana, Antonijević, Miro, Mikulić, Danko
Background: Hepatocellular carcinoma (HCC) is one of the leading indications for liver transplantation, however, selection criteria remain controversial. We aimed to identify survival factors and predictors for tumor recurrence using machine learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::0f262162722e2509bb4b02e20a1211c0
https://www.bib.irb.hr/1247408
https://www.bib.irb.hr/1247408
Autor:
Štajduhar, Ivan, Dalbelo-Bašić, Bojana
Publikováno v:
In Journal of Biomedical Informatics 2010 43(4):613-622
Publikováno v:
In Artificial Intelligence In Medicine 2009 47(3):199-217
Autor:
Bezjak, Miran, Jadrijević, Stipislav, Kocman, Branislav, Anna, Mrzljak, Filipec Kanižaj, Tajana, Miro, Antonijević, Dalbelo Bašić, Bojana, Mikulić, Danko
Background and aims: Liver transplantation using elderly donor livers is expected to yield results that are inferior to transplantation using young donor grafts. Cold ischemia time is one of the major predictors of postoperative liver function and ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::80b546c204b9f4aa3f811b5e301fda51
https://www.bib.irb.hr/1247422
https://www.bib.irb.hr/1247422
Publikováno v:
Energies (19961073); Jul2022, Vol. 15 Issue 14, pN.PAG-N.PAG, 19p
Publikováno v:
MIPRO
In this paper, we present the preliminary results on the analysis of deep learning terms used for natural language processing (NLP) tasks. We propose a statistical analysis of papers published from 2012 to 2015 in the main ACL conferences. Our aim is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65f9c3f8851d639f84e1acd6068c0ac3
https://doi.org/10.23919/mipro48935.2020.9245375
https://doi.org/10.23919/mipro48935.2020.9245375
Assessing the influential factors on measured (or allocated) heat consumption in district heating systems is often limited by the available data. Within a project of modelling consumption in district heating systems using machine learning, an access
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=57a035e5b1ae::398bd96c35bcfe9e2259b5cdaf637161
https://www.bib.irb.hr/1001896
https://www.bib.irb.hr/1001896