Милош Јовановић
Ванредни професор
Катедра за организацију пословних система
- milos.jovanovic@fon.bg.ac.rs
- 110
- сајт наставника
- Среда 10:00 - 12:00
Термин консултација
Образовање
2016, доктор наука – организационе науке, Универзитет у Београду – Факултет организационих наука
2006, дипломирани инжењер организационих наука – информациони системи, Универзитет у Београду – Факултет организационих наука
2006, дипломирани инжењер организационих наука – информациони системи, Универзитет у Београду – Факултет организационих наука
Одабране референце
Petrovic A, Nikolic M, Jovanovic M, Delibasic B (2022) Gaussian Conditional Random Fields for Classification, Expert Systems with Applications, https://doi.org/10.1016/j.eswa.2022.118728
Petrović, A., Radovanović, S., Nikolić, M., Delibašić, B., & Jovanović, M. (2022). Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks. Applied Soft Computing, 109893. https://doi.org/10.1016/j.asoc.2022.109893
Andrija Petrović, Mladen Nikolić, Sandro Radovanović, Boris Delibašić, Miloš Jovanović (2022) FAIR: Fair adversarial instance re-weighting, Neurocomputing, Volume 476, Pages 14-37, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2021.12.082
Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Milos Bijanic, Boris Delibasic (2021) Fair Classification via Monte Carlo Policy Gradient Method, Engineering Applications of Artificial Intelligence, Volume 104, 104398, https://doi.org/10.1016/j.engappai.2021.104398
Jovanovic, M., Radovanovic, S., Vukicevic, M., Van Poucke, S., & Delibasic, B. (2016). Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression. Artificial intelligence in medicine, 72, 12-21. https://doi.org/10.1016/j.artmed.2016.07.003
Stojanovic J, Jovanovic M, Gligorijevic D, Obradovic Z (2015). Semi-supervised learning for structured regression on partially observed attributed graphs, Proceedings of the 2015 SIAM International Conference on Data Mining, 217-225
Jovanović, M., Delibašić, B., Vukićević, M., Suknović, M., & Martić, M. (2014). Evolutionary approach for automated component-based decision tree algorithm design. Intelligent Data Analysis, 18(1), 63-77. http://dx.doi.org/10.3233/IDA-130628
Jovanovic, M., Vukicevic, M., Milovanovic, M., & Minovic, M. (2012). Using data mining on student behavior and cognitive style data for improving e-learning systems: a case study. International Journal of Computational Intelligence Systems, 5(3), 597-610.
Delibašić, B., Vukićević, M., Jovanović, M., Kirchner, K., Ruhland, J., & Suknović, M. (2012). An architecture for component-based design of representative-based clustering algorithms. Data & Knowledge Engineering, 75, 78-98. http://dx.doi.org/10.1016/j.datak.2012.03.005
Delibasic, B., Jovanovic, M., Vukicevic, M., Suknovic, M., & Obradovic, Z. (2011). Component-based decision trees for classification. Intelligent Data Analysis, 15(5), 671-693. http://dx.doi.org/10.3233/IDA-2011-0489
Petrović, A., Radovanović, S., Nikolić, M., Delibašić, B., & Jovanović, M. (2022). Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks. Applied Soft Computing, 109893. https://doi.org/10.1016/j.asoc.2022.109893
Andrija Petrović, Mladen Nikolić, Sandro Radovanović, Boris Delibašić, Miloš Jovanović (2022) FAIR: Fair adversarial instance re-weighting, Neurocomputing, Volume 476, Pages 14-37, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2021.12.082
Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Milos Bijanic, Boris Delibasic (2021) Fair Classification via Monte Carlo Policy Gradient Method, Engineering Applications of Artificial Intelligence, Volume 104, 104398, https://doi.org/10.1016/j.engappai.2021.104398
Jovanovic, M., Radovanovic, S., Vukicevic, M., Van Poucke, S., & Delibasic, B. (2016). Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression. Artificial intelligence in medicine, 72, 12-21. https://doi.org/10.1016/j.artmed.2016.07.003
Stojanovic J, Jovanovic M, Gligorijevic D, Obradovic Z (2015). Semi-supervised learning for structured regression on partially observed attributed graphs, Proceedings of the 2015 SIAM International Conference on Data Mining, 217-225
Jovanović, M., Delibašić, B., Vukićević, M., Suknović, M., & Martić, M. (2014). Evolutionary approach for automated component-based decision tree algorithm design. Intelligent Data Analysis, 18(1), 63-77. http://dx.doi.org/10.3233/IDA-130628
Jovanovic, M., Vukicevic, M., Milovanovic, M., & Minovic, M. (2012). Using data mining on student behavior and cognitive style data for improving e-learning systems: a case study. International Journal of Computational Intelligence Systems, 5(3), 597-610.
Delibašić, B., Vukićević, M., Jovanović, M., Kirchner, K., Ruhland, J., & Suknović, M. (2012). An architecture for component-based design of representative-based clustering algorithms. Data & Knowledge Engineering, 75, 78-98. http://dx.doi.org/10.1016/j.datak.2012.03.005
Delibasic, B., Jovanovic, M., Vukicevic, M., Suknovic, M., & Obradovic, Z. (2011). Component-based decision trees for classification. Intelligent Data Analysis, 15(5), 671-693. http://dx.doi.org/10.3233/IDA-2011-0489
Учешће на пројектима
Office of Naval Research Global, USA. Project title: Aggregating computational algorithms and human decision-making preferences in multi-agent settings, 2019-2021, Project no. N62909-19-1-2008, PI: dr. Boris Delibasic
Swiss National Science Foundation Project, SCOPES 2014-2016. Predicting patient’s future health state: Development and deployment of fast, effective, and interpretable algorithms for healthcare. PI: dr. Alexandros Kalousis. Project number: IZ73Z0_152415.
DARPA funded project, DARPA GRAPHS: Prospective Analysis of Large and Complex Partially Observed Temporal Social Networks, PI: dr. Zoran Obradovic, Temple University, Philadelphia, PA, USA. Project number: AFOSR FA 9550-12-1-0406.
DAAD, German-Serbian bilateral project on the development of data mining platform based on generic components and white-box approach.
Serbian Ministry of Science project, Infrastructure for Technology Enhanced Learning in Serbia, PI: dr. Vladan Devedzic, 2011-2020. Project number: III 47003.
Serbian Ministry of Science project, Development of the platform for modeling of component based algorithms within the standard process for data mining, PI: dr. Boris Delibasic. Project number: ТР12013
Swiss National Science Foundation Project, SCOPES 2014-2016. Predicting patient’s future health state: Development and deployment of fast, effective, and interpretable algorithms for healthcare. PI: dr. Alexandros Kalousis. Project number: IZ73Z0_152415.
DARPA funded project, DARPA GRAPHS: Prospective Analysis of Large and Complex Partially Observed Temporal Social Networks, PI: dr. Zoran Obradovic, Temple University, Philadelphia, PA, USA. Project number: AFOSR FA 9550-12-1-0406.
DAAD, German-Serbian bilateral project on the development of data mining platform based on generic components and white-box approach.
Serbian Ministry of Science project, Infrastructure for Technology Enhanced Learning in Serbia, PI: dr. Vladan Devedzic, 2011-2020. Project number: III 47003.
Serbian Ministry of Science project, Development of the platform for modeling of component based algorithms within the standard process for data mining, PI: dr. Boris Delibasic. Project number: ТР12013
Чланство у организацијама
Society for Industrial and Applied Mathematics (SIAM)
SIAG Group on Data Science
SIAG Group on Data Science
Додатно усавршавање
Гостујући истраживач на Темпл универзитету у Филаделфији, САД (2013-2014)