Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zarubica, Sara"'
Current deep convolutional networks are fixed in their topology. We explore the possibilites of making the convolutional topology a parameter itself by combining NeuroEvolution of Augmenting Topologies (NEAT) with Convolutional Neural Networks (CNNs)
Externí odkaz:
http://arxiv.org/abs/2211.16978
Autor:
Krstinić, Dalibor1 dkrstinic@pravni-fakultet.info, Zarubica, Sara2 pocuca@pravni-fakultet.info, Matijašević, Jelena3 jelena@pravni-fakultet.info, Bingulac, Nenad4 nbingulac@pravni-fakultet.info, Dragojlović, Joko4 jdragojlovic@pravni-fakultet.info
Publikováno v:
Economics of Agriculture / Ekonomika Poljoprivrede. Jul-Sep2024, Vol. 71 Issue 3, p987-1001. 15p.
Autor:
Zarubica, Sara, Korica, Svetlana
Publikováno v:
Pravo teorija i praksa / Law - theory and practice. 40(1):27-42
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1120976
Autor:
Korica, Svetlana, Zarubica, Sara
Publikováno v:
Pravo teorija i praksa / Law - theory and practice. 38(4):75-86
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1014528
Autor:
Matijašević, Jelena, Zarubica, Sara
Publikováno v:
Pravo teorija i praksa / Law - theory and practice. 38(3):28-41
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1004850
Autor:
Krstinić, Dalibor, Zarubica, Sara
Publikováno v:
Pravo teorija i praksa / Law - theory and practice. 38(1):42-54
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=941794
Autor:
Matijašević, Jelena, Zarubica, Sara
Publikováno v:
Pravo teorija i praksa / Law - theory and practice. 37(4):26-41
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=930114
Publikováno v:
Ekonomika Poljoprivrede (1979), Vol 67, Iss 1, Pp 239-251 (2020)
Emissions of pollutants into the air are increasingly affecting the environment. In this context, it is particularly interesting to consider the ratio of the participation of individual pollutants in environmental damage and their participation in co
Externí odkaz:
https://doaj.org/article/b589e210866e475b993d709763015090
Autor:
Matijašević, Jelena, Zarubica, Sara
Publikováno v:
Европско законодавство / The European Legislation. (67):246-257
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1024748
Current deep convolutional networks are fixed in their topology. We explore the possibilites of making the convolutional topology a parameter itself by combining NeuroEvolution of Augmenting Topologies (NEAT) with Convolutional Neural Networks (CNNs)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c37c520b2a89c05df97d25478ba3298d
http://arxiv.org/abs/2211.16978
http://arxiv.org/abs/2211.16978