Milos R. Ivanovic

Orcid: 0000-0002-8974-2267

According to our database1, Milos R. Ivanovic authored at least 25 papers between 2011 and 2024.

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Bibliography

2024
SGABU computational platform for multiscale modeling: Bridging the gap between education and research.
Comput. Methods Programs Biomed., January, 2024

2023
Learning domain invariant representations of heterogeneous image data.
Mach. Learn., October, 2023

A Comparative Study of the Explicit Finite Difference Method and Physics-Informed Neural Networks for Solving the Burgers' Equation.
Axioms, October, 2023

Identifying optimal architectures of physics-informed neural networks by evolutionary strategy.
Appl. Soft Comput., October, 2023

Constrained-HIDA: Heterogeneous Image Domain Adaptation Guided by Constraints.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Optimization of Physics-Informed Neural Networks for Efficient Surrogate Modeling of Huxley's Muscle Model in Multi-Scale Finite Element Simulations.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022
Huxley muscle model surrogates for high-speed multi-scale simulations of cardiac contraction.
Comput. Biol. Medicine, 2022

Efficient evolutionary optimization using predictive auto-scaling in containerized environment.
Appl. Soft Comput., 2022

Integration of Surrogate Huxley Muscle Model into Finite Element Solver for Simulation of the Cardiac Cycle.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
SS-HIDA: Semi-Supervised Heterogeneous Image Domain Adaptation.
Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2021), 2021

In-silico Research Platform in the Cloud - Performance and Scalability Analysis.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020
Optimizing parallel particle tracking in Brownian motion using machine learning.
Int. J. High Perform. Comput. Appl., 2020

2019
Machine learned domain decomposition scheme applied to parallel multi-scale muscle simulation.
Int. J. High Perform. Comput. Appl., 2019

Optimizing the performance of optimization in the cloud environment-An intelligent auto-scaling approach.
Future Gener. Comput. Syst., 2019

2017
Market risk management in a post-Basel II regulatory environment.
Eur. J. Oper. Res., 2017

2016
A computer program TRACK_P for studying proton tracks in PADC detectors.
SoftwareX, 2016

Distributed multi-scale muscle simulation in a hybrid MPI-CUDA computational environment.
Simul., 2016

IMI Python: Upgraded CS Circles web-based Python course.
Comput. Appl. Eng. Educ., 2016

2015
Elastic grid resource provisioning with WoBinGO: A parallel framework for genetic algorithm based optimization.
Future Gener. Comput. Syst., 2015

Coupling finite element and huxley models in multiscale muscle modeling.
Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015

Employing phenomenological model in load-balancing optimization of parallel multi-scale muscle simulations.
Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering, 2015

2013
Adaptive system for dam behavior modeling based on linear regression and genetic algorithms.
Adv. Eng. Softw., 2013

2012
Computer search for trees with minimal ABC index.
Appl. Math. Comput., 2012

2011
Hemodynamic Flow Modeling Through an Abdominal Aorta Aneurysm Using Data Mining Tools.
IEEE Trans. Inf. Technol. Biomed., 2011

Computer program Neutron_CR-39 for simulation of neutrons from an Am-Be source and calculation of proton track profiles.
Comput. Phys. Commun., 2011


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