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Autori: Obradovic Zoran

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Naslov Software package for regression algorithms based on Gaussian Conditional Random Fields (Proceedings Paper)
Autori Markovic Tijana Devedzic Vladan B  Zhou Fang Obradovic Zoran 
Info 2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, (2022), vol. br. , str. 1121-1128
Projekat U.S. NSF [CNS-212598]; U.S. Army Corp of Engineers Engineer Research and Development Center [W9132V-22-2-0001]; Temple University office of the Vice President for Research 2022 Catalytic Collaborative Research Initiative Program AI ML Focus Area; NSFC [61902127]; ARL [555080-78055, W911NF2220001]
Ispravka Web of Science   Članak  
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Naslov Another estimation of Laplacian spectrum of the Kronecker product of graphs (Article)
Autori Basic Milan  Arsic Branko  Obradovic Zoran 
Info INFORMATION SCIENCES, (2022), vol. 609 br. , str. 605-625
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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Naslov A study on ski groups size and their relationship to the risk of injury (Article; Early Access)
Autori Delibasic Boris  Radovanovic Sandro  Jovanovic Milos Z Obradovic Zoran Suknovic Milija Lojic Ranko 
Info PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART P-JOURNAL OF SPORTS ENGINEERING AND TECHNOLOGY, (2022), vol. br. , str. -
Projekat US Department of State CIES Fulbright Visiting Program grant
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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Naslov Improving the Efficiency of the Support Vector Decomposition Machine (Proceedings Paper)
Autori Tadic Predrag R  Asadi Nima Popovic Nikola Lj Obradovic Zoran 
Info 2018 14TH SYMPOSIUM ON NEURAL NETWORKS AND APPLICATIONS (NEUREL), (2018), vol. br. , str. -
Projekat Ministry of Education, Science and Technological Development of the Republic of Serbia [TR32038, III42007]
Ispravka Web of Science   Citati: Web of Science   Scopus  
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Naslov Ski injury predictive analytics from massive ski lift transportation data (Article)
Autori Delibasic Boris  Radovanovic Sandro  Jovanovic Milos Z Obradovic Zoran Suknovic Milija 
Info PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART P-JOURNAL OF SPORTS ENGINEERING AND TECHNOLOGY, (2018), vol. 232 br. 3, str. 208-217
Projekat US Department of State CIES Fulbright Visiting Program
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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Naslov New Methods for Analyzing Complex Biomedical Systems and Signals (Editorial Material)
Autori Reljin Irini S  Obradovic Zoran Popovic Mirjana B Mladenov Valeri 
Info COMPLEXITY, (2018), vol. br. , str. -
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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Naslov Fast learning of scale-free networks based on Cholesky factorization (Article)
Autori Jelisavcic Vladislav S Stojkovic Ivan Milutinovic Veljko M  Obradovic Zoran 
Info INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, (2018), vol. 33 br. 6, str. 1322-1339
Projekat NSF BIGDATA [1447670, 1659998, CNS-1625061]; CURE
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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Naslov Machine Learning Approach for Predicting Wall Shear Distribution for Abdominal Aortic Aneurysm and Carotid Bifurcation Models (Article)
Autori Jordanski Milos Radovic Milos D Milosevic Zarko Filipovic Nenad D  Obradovic Zoran 
Info IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, (2018), vol. 22 br. 2, str. 537-544
Projekat Defense Advanced Research Project Agency (DARPA) GRAPHS program through Air Force Research Laboratory (AFRL) [FA9550-12-1-0406]; National Science Foundation BIGDATA [14476570]; Office of Naval Research Mathematics of Data Science Project [N00014-15-1-2729
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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Naslov Ranking Based Multitask Learning of Scoring Functions (Proceedings Paper)
Autori Stojkovic Ivan Ghalwash Mohamed F Obradovic Zoran 
Info MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017, PT II, (2017), vol. 10535 br. , str. 721-736
Projekat DARPA [W911NF-16-C-0050, FA9550-12-1-0406]; National Science Foundation [NSF-CNS-1625061]; Pennsylvania Department of Health CURE grant
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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Naslov Adaptive Skip-Train Structured Regression for Temporal Networks (Proceedings Paper)
Autori Pavlovski Martin Zhou Fang Stojkovic Ivan Kocarev Ljupco Obradovic Zoran 
Info MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017, PT II, (2017), vol. 10535 br. , str. 305-321
Projekat DARPA [FA9550-12-1-0406]; National Science Foundation [NSF-SES-1447670, NSF-IIS-1636772]; Temple University Data Science Targeted Funding Program; NSF [CNS-1625061]; Pennsylvania Department of Health CURE grant; ONR/ONR Global [N62909-16-1-2222]
Ispravka Web of Science   Članak   Elečas   Rang časopisa   Citati: Web of Science   Scopus  
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