Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Zoran Bosnić"'
Autor:
Bogdan Milićević, Miljan Milošević, Vladimir Simić, Andrej Preveden, Lazar Velicki, Đorđe Jakovljević, Zoran Bosnić, Matej Pičulin, Bojan Žunkovič, Miloš Kojić, Nenad Filipović
Publikováno v:
Heliyon, Vol 9, Iss 6, Pp e16724- (2023)
Background and objective: Predicting the long-term expansion and remodeling of the left ventricle in patients is challenging task but it has the potential to be clinically very useful. Methods: In our study, we present machine learning models based o
Externí odkaz:
https://doaj.org/article/3623697cb55743d699402dcdd5abfb8c
Autor:
Matej Pičulin, Tim Smole, Bojan Žunkovič, Enja Kokalj, Marko Robnik-Šikonja, Matjaž Kukar, Dimitrios I Fotiadis, Vasileios C Pezoulas, Nikolaos S Tachos, Fausto Barlocco, Francesco Mazzarotto, Dejana Popović, Lars S Maier, Lazar Velicki, Iacopo Olivotto, Guy A MacGowan, Djordje G Jakovljević, Nenad Filipović, Zoran Bosnić
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 2, p e30483 (2022)
BackgroundCardiovascular disorders in general are responsible for 30% of deaths worldwide. Among them, hypertrophic cardiomyopathy (HCM) is a genetic cardiac disease that is present in about 1 of 500 young adults and can cause sudden cardiac death (S
Externí odkaz:
https://doaj.org/article/75836ffdc4b849e6802587e4dfe42293
Publikováno v:
Pharmaceutics, Vol 15, Iss 1, p 119 (2022)
Identifying binding sites on the protein surface is an important part of computer-assisted drug design processes. Reliable prediction of binding sites not only assists with docking algorithms, but it can also explain the possible side-effects of a po
Externí odkaz:
https://doaj.org/article/91bbe74173c346f8a6b95e9cc9b2218d
Publikováno v:
Neural networks, str. 418-436 : Ilustr., Vol. 161, 2023
COBISS-ID: 26011904
COBISS-ID: 26011904
Soavtorji: Jana Faganeli Pucer, Igor Kononenko, Zoran Bosnić. Bibliografija: str. 435-436. Abstract.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f614e1d48516251093af0932b313b70f
https://plus.cobiss.net/cobiss/si/en/bib/141099267
https://plus.cobiss.net/cobiss/si/en/bib/141099267
Autor:
Larsen Cundrič, Zoran Bosnić, Leonard A. Kaminsky, Jonathan Myers, James E. Peterman, Vidan Markovic, Ross Arena, Dejana Popović
Publikováno v:
Journal of Cardiopulmonary Rehabilitation and Prevention.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e29bffe2574030ae3bf2adec20a87ed
https://doi.org/10.1097/hcr.0000000000000786
https://doi.org/10.1097/hcr.0000000000000786
Autor:
Lea Andjelković, Vesna Novak-Jankovič, Neva Požar-Lukanovič, Zoran Bosnić, Alenka Spindler-Vesel
Publikováno v:
Journal of International Medical Research, Vol 46 (2018)
Objective The consumption of opioid analgesics could be reduced by the use of analgesics with different mechanisms of action. We investigated whether additional treatment with dexmedetomidine or lidocaine could reduce opioid consumption. Methods We r
Externí odkaz:
https://doaj.org/article/3eeed0e10d2744eabf45a160c755edaf
Publikováno v:
Uporabna informatika. 30
V mnogih aplikacijah strojnega učenja se novi podatki nenehno zbirajo, npr. v zdravstvenem varstvu, za vremenske napovedi itd. Raziskovalci si pogosto želijo sistem, ki bi omogočal nadaljevalno učenje novih informacij. To je izjemnega pomeni tudi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::717ebe2214048149a84f114ec7ef1e44
https://doi.org/10.31449/upinf.183
https://doi.org/10.31449/upinf.183
Publikováno v:
AS: Andragoška Spoznanja, Vol 22, Iss 1 (2016)
Dandanes se pojavlja vse več učnih sistemov, ki podpirajo aktivno učenje in upoštevajo učenčeve učne lastnosti, značilnosti in aktivnosti. V prispevku predstavljamo zasnovo učnega priporočilnega sistema, ki združuje znanja pedagogike in ra
Externí odkaz:
https://doaj.org/article/be5a7484aa6347069f4e1b07a43fbcca
Autor:
Zoran Bosnić, Kaja Zupanc
Publikováno v:
Fundamenta Informaticae. 172:239-259
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af19a4d40335dcb5c72765eaec2c34f0
https://doi.org/10.3233/fi-2020-1904
https://doi.org/10.3233/fi-2020-1904
Publikováno v:
Uporabna informatika. 29
Količina ustvarjenih podatkov otežuje njihovo obdelavo. V primeru nadzorovanega učenja lahko označevanje učnih primerov predstavlja dolgotrajno in drago nalogo. V dvorazrednih problemih primere označimo kot pozitivne ali negativne. V tem delu p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e197fef25da3cb96e0363fbdfd53f61
https://doi.org/10.31449/upinf.146
https://doi.org/10.31449/upinf.146