Autori: Ivanovic Milos R
Naslov | Evolutionary approach for composing a thoroughly optimized ensemble of regression neural networks (Article) |
Autori | Krstic Lazar Ivanovic Milos R ![]() ![]() ![]() |
Info | EGYPTIAN INFORMATICS JOURNAL, (2024), vol. 28 br. , str. - |
Projekat | EIT's HEI Initiative DEEPTECH-2M project - EIT Digital; European Union |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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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 ![]() ![]() ![]() |
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 |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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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 ![]() ![]() ![]() ![]() ![]() ![]() |
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] |
Ispravka | Web of Science Članak |
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Naslov | SGABU computational platform for multiscale modeling: Bridging the gap between education and research (Article) |
Autori | Geroski Tijana ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
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] |
Ispravka | Web of Science Članak Elečas Rang časopisa Citati: |
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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 ![]() |
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 |
Ispravka | Web of Science Članak |
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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 ![]() ![]() |
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] |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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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 ![]() |
Info | MACHINE LEARNING, (2023), vol. br. , str. - |
Projekat | French Government |
Ispravka | Web of Science Članak Elečas Rang časopisa Citati: |
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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 ![]() ![]() |
Info | APPLIED SOFT COMPUTING, (2023), vol. 146 br. , str. - |
Projekat | EIT's HEI Initiative SMART-2M project - EIT RawMaterials - European Union |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | High bandwidth performance of multimode graded-index microstructured polymer optical fibers (Article) |
Autori | Savovic Svetislav M ![]() ![]() ![]() ![]() ![]() |
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] |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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Naslov | Huxley muscle model surrogates for high-speed multi-scale simulations of cardiac contraction (Article) |
Autori | Milicevic Bogdan ![]() ![]() ![]() ![]() ![]() |
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] |
Ispravka | Web of Science Članak Elečas Rang časopisa |
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