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Autori: Ivanovic Milos R

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Naslov Evolutionary approach for composing a thoroughly optimized ensemble of regression neural networks (Article)
Autori Krstic Lazar Ivanovic Milos R  Simic Visnja  Stojanovic Boban S  
Info EGYPTIAN INFORMATICS JOURNAL, (2024), vol. 28 br. , str. -
Projekat EIT's HEI Initiative DEEPTECH-2M project - EIT Digital; European Union
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Naslov Numerical Solution of the Sine-Gordon Equation by Novel Physics-Informed Neural Networks and Two Different Finite Difference Methods (Article)
Autori Savovic Svetislav M  Ivanovic Milos R  Drljaca Branko V  Simovic Ana D 
Info AXIOMS, (2024), vol. 13 br. 12, str. -
Projekat The Serbian Ministry of Science, Technological Development and Innovations [451-03-65/2024-03/200122, 451-03-65/2024-03/200123]; Serbian Ministry of Science, Technological Development and Innovations
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Naslov Comparison of Data-Driven and Physics-Informed Neural Networks for Surrogate Modelling of the Huxley Muscle Model (Proceedings Paper)
Autori Milicevic Bogdan  Ivanovic Milos R  Stojanovic Boban S  Milosevic Miljan  Simic Vladimir D  Kojic Milos R Filipovic Nenad D  
Info APPLIED ARTIFICIAL INTELLIGENCE 2: MEDICINE, BIOLOGY, CHEMISTRY, FINANCIAL, GAMES, ENGINEERING, SICAAI 2023, (2024), vol. 999 br. , str. 33-37
Projekat European Union [777204, 952603]; Ministry of Education, Science and Technological Development of the Republic of Serbia [451-03-68/2022-14/200107, 451-03-68/2022-14/200378]
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Naslov SGABU computational platform for multiscale modeling: Bridging the gap between education and research (Article)
Autori Geroski Tijana  ... Vulovic Aleksandra Z  ...  Milicevic Bogdan  Atanasijevic Aleksandar Zivkovic Jelena  Zivic Andreja ... Ivanovic Milos R  Filipovic Nenad D  
Info COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, (2024), vol. 243 br. , str. -
Projekat European Union [952603]; Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-47/2023-01/200107]
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Naslov Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints (Proceedings Paper)
Autori Obrenovic Mihailo M Lampert Thomas Ivanovic Milos R  Gancarski Pierre 
Info MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: RESEARCH TRACK, ECML PKDD 2023, PT V, (2023), vol. 14173 br. , str. 443-458
Projekat French Government; ICube
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Naslov A Comparative Study of the Explicit Finite Difference Method and Physics-Informed Neural Networks for Solving the Burgers' Equation (Article)
Autori Savovic Svetislav M  Ivanovic Milos R  Min Rui 
Info AXIOMS, (2023), vol. 12 br. 10, str. -
Projekat Serbian Ministry of Science, Technological Development and Innovations [451-03-47/2023-01/200122]; Science Fund of the Republic of Serbia [CTPCF-6379382]; National Natural Science Foundation of China [62111530238, 62003046]; Guangdong Basic and Applied Basic Research Foundation [2021A1515011997]; Special project in key field of Guangdong Provincial Department of Education [2021ZDZX1050]; Innovation Team Project of Guangdong Provincial Department of Education [2021KCXTD014]
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Naslov Learning domain invariant representations of heterogeneous image data (Article; Early Access)
Autori Obrenovic Mihailo M Lampert Thomas Ivanovic Milos R  Gancarski Pierre 
Info MACHINE LEARNING, (2023), vol. br. , str. -
Projekat French Government
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Naslov Identifying optimal architectures of physics-informed neural networks by evolutionary strategy (Article)
Autori Kaplarevic-Malisic Ana Andrijevic Branka Bojovic Filip Nikolic Srdjan Krstic Lazar Stojanovic Boban S  Ivanovic Milos R  
Info APPLIED SOFT COMPUTING, (2023), vol. 146 br. , str. -
Projekat EIT's HEI Initiative SMART-2M project - EIT RawMaterials - European Union
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Naslov High bandwidth performance of multimode graded-index microstructured polymer optical fibers (Article)
Autori Savovic Svetislav M  Simovic Ana D Drljaca Branko V  Kovacevic Milan S Kuzmanovic Ljubica  Ivanovic Milos R  Djordjevich Alexandar  Aidinis Konstantions Tosi Daniele Min Rui 
Info RESULTS IN PHYSICS, (2023), vol. 50 br. , str. -
Projekat National Natural Science Foundation of China [62111530238, 62003046]; Strategic Research Grant of City University of Hong Kong; Serbian Ministry of Science, Technological Development and Innovations [451-03-47/2023-01/200123, CTPCF-6379382]; Science Fund of the Republic of Serbia [2021A1515011997]; Guangdong Basic and Applied Basic Research Foundation [2021ZDZX1050]; Special project in key field of Guangdong Provincial Department of Education [2021KCXTD014]; Innovation Team Project of Guangdong Provincial Department of Education [2021A1313030055]; Department of Science and Technology of Guangdong Province [CityU 7004600]; [451-03-68/2022-14/200122]
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Naslov Huxley muscle model surrogates for high-speed multi-scale simulations of cardiac contraction (Article)
Autori Milicevic Bogdan  Ivanovic Milos R  Stojanovic Boban S  Milosevic Miljan  Kojic Milos R Filipovic Nenad D  
Info COMPUTERS IN BIOLOGY AND MEDICINE, (2022), vol. 149 br. , str. -
Projekat European Union [777204]; Ministry of Education, Science and Technological Development of the Republic of Serbia [451-03-68/2022-14/200107, 451-03-68/2022-14/200122, 451-03-68/2022-14/200378]
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