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Milos Jovanovic 0002
Person information
- affiliation: University of Belgrade, Faculty of Organizational Sciences, Serbia
Other persons with the same name
- Milos Jovanovic 0001 (aka: Milos D. Jovanovic) — Institute Mihailo Pupin, Belgrade, Serbia (and 2 more)
- Milos Jovanovic 0003 — University of Novi Sad, Faculty of Technical Sciences, Serbia (and 1 more)
- Milos Jovanovic 0004 (aka: Milos M. Jovanovic) — Fraunhofer INT Institute for Technological Trend Analysis, Euskirchen, Germany
- Milos Jovanovic 0005 — Belgrade Metropolitan University, Faculty of Information Technologies, Serbia
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2020 – today
- 2023
- [j16]Andrija Petrovic, Sandro Radovanovic, Mladen Nikolic, Boris Delibasic, Milos Jovanovic:
Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks. Appl. Soft Comput. 133: 109893 (2023) - [j15]Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Boris Delibasic:
Gaussian conditional random fields for classification. Expert Syst. Appl. 212: 118728 (2023) - 2022
- [j14]Andrija Petrovic, Mladen Nikolic, Sandro Radovanovic, Boris Delibasic, Milos Jovanovic:
FAIR: Fair adversarial instance re-weighting. Neurocomputing 476: 14-37 (2022) - 2021
- [j13]Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Milos Bijanic, Boris Delibasic:
Fair classification via Monte Carlo policy gradient method. Eng. Appl. Artif. Intell. 104: 104398 (2021) - 2020
- [i3]Andrija Petrovic, Mladen Nikolic, Sandro Radovanovic, Boris Delibasic, Milos Jovanovic:
FAIR: Fair Adversarial Instance Re-weighting. CoRR abs/2011.07495 (2020)
2010 – 2019
- 2019
- [j12]Sandro Radovanovic, Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic:
A Framework for Integrating Domain Knowledge in Logistic Regression with Application to Hospital Readmission Prediction. Int. J. Artif. Intell. Tools 28(6): 1960006:1-1960006:19 (2019) - [i2]Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Boris Delibasic:
Gaussian Conditional Random Fields for Classification. CoRR abs/1902.00045 (2019) - 2018
- [j11]Boris Delibasic, Sandro Radovanovic, Milos Jovanovic, Marko Bohanec, Milija Suknovic:
Integrating knowledge from DEX hierarchies into a logistic regression stacking model for predicting ski injuries. J. Decis. Syst. 27(Supp): 201-208 (2018) - [c5]Sandro Radovanovic, Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic:
Framework for integration of domain knowledge into logistic regression. WIMS 2018: 24:1-24:8 - [i1]Jelena Stojanovic, Milos Jovanovic, Djordje Gligorijevic, Zoran Obradovic:
Semi-supervised learning for structured regression on partially observed attributed graphs. CoRR abs/1803.10705 (2018) - 2017
- [c4]Boris Delibasic, Sandro Radovanovic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic:
An Investigation of Human Trajectories in Ski Resorts. ICT Innovations 2017: 130-139 - 2016
- [j10]Milos Jovanovic, Sandro Radovanovic, Milan Vukicevic, Sven Van Poucke, Boris Delibasic:
Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression. Artif. Intell. Medicine 72: 12-21 (2016) - 2015
- [c3]Jelena Stojanovic, Milos Jovanovic, Djordje Gligorijevic, Zoran Obradovic:
Semi-supervised learning for structured regression on partially observed attributed graphs. SDM 2015: 217-225 - 2014
- [j9]Milos Jovanovic, Boris Delibasic, Milan Vukicevic, Milija Suknovic, Milan Martic:
Evolutionary approach for automated component-based decision tree algorithm design. Intell. Data Anal. 18(1): 63-77 (2014) - 2013
- [j8]Milan Vukicevic, Kathrin Kirchner, Boris Delibasic, Milos Jovanovic, Johannes Ruhland, Milija Suknovic:
Finding best algorithmic components for clustering microarray data. Knowl. Inf. Syst. 35(1): 111-130 (2013) - [j7]Boris Delibasic, Milan Vukicevic, Milos Jovanovic, Milija Suknovic:
White-Box or Black-Box Decision Tree Algorithms: Which to Use in Education? IEEE Trans. Educ. 56(3): 287-291 (2013) - 2012
- [j6]Milija Suknovic, Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Dragana Becejski-Vujaklija, Zoran Obradovic:
Reusable components in decision tree induction algorithms. Comput. Stat. 27(1): 127-148 (2012) - [j5]Boris Delibasic, Milan Vukicevic, Milos Jovanovic, Kathrin Kirchner, Johannes Ruhland, Milija Suknovic:
An architecture for component-based design of representative-based clustering algorithms. Data Knowl. Eng. 75: 78-98 (2012) - [j4]Milan Vukicevic, Milos Jovanovic, Boris Delibasic, Sonja Isljamovic, Milija Suknovic:
Reusable Component-Based Architecture for Decision Tree Algorithm Design. Int. J. Artif. Intell. Tools 21(5) (2012) - [j3]Milos Jovanovic, Milan Vukicevic, Milos Milovanovic, Miroslav Minovic:
Using data mining on student behavior and cognitive style data for improving e-learning systems: a case study. Int. J. Comput. Intell. Syst. 5(3): 597-610 (2012) - [c2]Milan Vukicevic, Boris Delibasic, Milos Jovanovic, Milija Suknovic, Zoran Obradovic:
A method for design of data-tailored partitioning algorithms for optimizing the number of clusters in microarray analysis. CIBCB 2012: 252-259 - 2011
- [j2]Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic, Zoran Obradovic:
Component-based decision trees for classification. Intell. Data Anal. 15(5): 671-693 (2011) - [c1]Milan Vukicevic, Boris Delibasic, Milos Jovanovic, Milija Suknovic, Zoran Obradovic:
Internal Evaluation Measures as Proxies for External Indices in Clustering Gene Expression Data. BIBM 2011: 574-577
2000 – 2009
- 2009
- [j1]Boris Delibasic, Kathrin Kirchner, Johannes Ruhland, Milos Jovanovic, Milan Vukicevic:
Reusable components for partitioning clustering algorithms. Artif. Intell. Rev. 32(1-4): 59-75 (2009)
Coauthor Index
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