Computer program Neutron_CR-39 for simulation of neutrons from an Am-Be source and calculation of proton track profiles. - Biljana Milenkovic; Nenad Stevanovic; Dragoslav Nikezic; Milos R. Ivanovic (Comput. Phys. Commun., 2011)

Hemodynamic Flow Modeling Through an Abdominal Aorta Aneurysm Using Data Mining Tools. - Nenad Filipovic; Milos R. Ivanovic; Damjan Krstajic; Milos Kojic (IEEE Trans. Inf. Technol. Biomed., 2011)

Computer search for trees with minimal ABC index. - Boris Furtula; Ivan Gutman; Milos R. Ivanovic; Damir Vukicevic (Appl. Math. Comput., 2012)

Adaptive system for dam behavior modeling based on linear regression and genetic algorithms. - Boban S. Stojanovic; Milovan Milivojevic; Milos R. Ivanovic; Nikola Milivojevic; Dejan Divac (Adv. Eng. Softw., 2013)

Employing phenomenological model in load-balancing optimization of parallel multi-scale muscle simulations. - Ana M. Kaplarevic-Malisic; Milos R. Ivanovic; Boban S. Stojanovic; Marina R. Svicevic; Darko B. Antonijevic (BIBE, 2015)

Coupling finite element and huxley models in multiscale muscle modeling. - Boban S. Stojanovic; Marina R. Svicevic; Ana M. Kaplarevic-Malisic; Milos R. Ivanovic; Djordje M. Nedic; Nenad D. Filipovic; Srboljub M. Mijailovich (BIBE, 2015)

Elastic grid resource provisioning with WoBinGO: A parallel framework for genetic algorithm based optimization. - Milos R. Ivanovic; Visnja Simic; Boban S. Stojanovic; Ana M. Kaplarevic-Malisic; Branko Marovic (Future Gener. Comput. Syst., 2015)

IMI Python: Upgraded CS Circles web-based Python course. - Marija Djokic-Petrovic; David Pritchard 001; Milos R. Ivanovic; Vladimir M. Cvjetkovic (Comput. Appl. Eng. Educ., 2016)

Distributed multi-scale muscle simulation in a hybrid MPI-CUDA computational environment. - Milos R. Ivanovic; Boban S. Stojanovic; Ana M. Kaplarevic-Malisic; Richard J. Gilbert; Srboljub M. Mijailovich (Simul., 2016)

A computer program TRACK_P for studying proton tracks in PADC detectors. - Dragoslav Nikezic; Milos R. Ivanovic; K. N. Yu (SoftwareX, 2016)

Market risk management in a post-Basel II regulatory environment. - Mikica Drenovak; Vladimir Rankovic; Milos R. Ivanovic; Branko Urosevic; Ranko Jelic (Eur. J. Oper. Res., 2017)

Optimizing the performance of optimization in the cloud environment-An intelligent auto-scaling approach. - Visnja Simic; Boban S. Stojanovic; Milos R. Ivanovic (Future Gener. Comput. Syst., 2019)

Machine learned domain decomposition scheme applied to parallel multi-scale muscle simulation. - Milos R. Ivanovic; Ana M. Kaplarevic-Malisic; Boban S. Stojanovic; Marina R. Svicevic; Srboljub M. Mijailovich (Int. J. High Perform. Comput. Appl., 2019)

Optimizing parallel particle tracking in Brownian motion using machine learning. - Srdan Nikolic; Nenad Stevanovic; Milos R. Ivanovic (Int. J. High Perform. Comput. Appl., 2020)

In-silico Research Platform in the Cloud - Performance and Scalability Analysis. - Milos R. Ivanovic; Andreja Zivic; Nikolaos S. Tachos; George Gkois; Nenad Filipovic; Dimitrios I. Fotiadis (BIBE, 2021)

SS-HIDA: Semi-Supervised Heterogeneous Image Domain Adaptation. - Mihailo Obrenovic; Thomas Andrew Lampert; François Monde-Kossi; Milos R. Ivanovic; Pierre Gançarski (MACLEAN@PKDD/ECML, 2021)

Integration of Surrogate Huxley Muscle Model into Finite Element Solver for Simulation of the Cardiac Cycle. - Bogdan Milicevic; Vladimir Simic; Miljan Milosevic; Milos R. Ivanovic; Boban S. Stojanovic; Milos Kojic; Nenad Filipovic (EMBC, 2022)

Efficient evolutionary optimization using predictive auto-scaling in containerized environment. - Milos R. Ivanovic; Visnja Simic (Appl. Soft Comput., 2022)

Huxley muscle model surrogates for high-speed multi-scale simulations of cardiac contraction. - Bogdan Milicevic; Milos R. Ivanovic; Boban S. Stojanovic; Miljan Milosevic; Milos Kojic; Nenad Filipovic (Comput. Biol. Medicine, 2022)

Optimization of Physics-Informed Neural Networks for Efficient Surrogate Modeling of Huxley's Muscle Model in Multi-Scale Finite Element Simulations. - Bogdan Milicevic; Milos R. Ivanovic; Boban S. Stojanovic; Miljan Milosevic; Vladimir M. Milovanovic; Milos Kojic; Nenad Filipovic (BIBE, 2023)

Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints. - Mihailo Obrenovic; Thomas Andrew Lampert; Milos R. Ivanovic; Pierre Gançarski (ECML/PKDD (5), 2023)

Identifying optimal architectures of physics-informed neural networks by evolutionary strategy. - Ana M. Kaplarevic-Malisic; Branka Andrijevic; Filip Bojovic; Srdan Nikolic; Lazar Krstic; Boban S. Stojanovic; Milos R. Ivanovic (Appl. Soft Comput., 2023)

A Comparative Study of the Explicit Finite Difference Method and Physics-Informed Neural Networks for Solving the Burgers' Equation. - Svetislav Savovic; Milos R. Ivanovic; Rui Min (Axioms, 2023)

Learning domain invariant representations of heterogeneous image data. - Mihailo Obrenovic; Thomas Andrew Lampert; Milos R. Ivanovic; Pierre Gançarski (Mach. Learn., 2023)

SGABU computational platform for multiscale modeling: Bridging the gap between education and research. - Tijana Geroski; Orestis Gkaintes; Aleksandra Vulovic; Niketa Ukaj; Jorge Barrasa-Fano; Fernando Perez-Boerema; Bogdan Milicevic; Aleksandar Atanasijevic; Jelena Zivkovic; Andreja Zivic; Maria Roumpi; Themis P. Exarchos; et al. (Comput. Methods Programs Biomed., 2024)