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Sandro Radovanovic
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2020 – today
- 2023
- [j14]Zorica A. Dodevska, Andrija Petrovic, Sandro Radovanovic, Boris Delibasic:
Changing criteria weights to achieve fair VIKOR ranking: a postprocessing reranking approach. Auton. Agents Multi Agent Syst. 37(1): 9 (2023) - [j13]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) - [j12]Sandro Radovanovic, Andrija Petrovic, Zorica A. Dodevska, Boris Delibasic:
FairAW - Additive weighting without discrimination. Intell. Data Anal. 27(4): 1023-1045 (2023) - [j11]Sandro Radovanovic, Andrija Petrovic, Boris Delibasic, Milija Suknovic:
A fair classifier chain for multi-label bank marketing strategy classification. Int. Trans. Oper. Res. 30(3): 1320-1339 (2023) - [j10]Sandro Radovanovic, Marko Bohanec, Boris Delibasic:
Extracting decision models for ski injury prediction from data. Int. Trans. Oper. Res. 30(6): 3429-3454 (2023) - [c13]Boris Delibasic, Drazenko Glavic, Sandro Radovanovic, Andrija Petrovic, Marina Milenkovic, Milija Suknovic:
Multi-actor VIKOR Method for Highway Selection in Montenegro. ICDSST 2023: 3-14 - 2022
- [j9]Sandro Radovanovic, Gordana Savic, Boris Delibasic, Milija Suknovic:
FairDEA - Removing disparate impact from efficiency scores. Eur. J. Oper. Res. 301(3): 1088-1098 (2022) - [j8]Andrija Petrovic, Mladen Nikolic, Sandro Radovanovic, Boris Delibasic, Milos Jovanovic:
FAIR: Fair adversarial instance re-weighting. Neurocomputing 476: 14-37 (2022) - [c12]Boris Delibasic, Sandro Radovanovic:
Introduction to the Minitrack on Fairness in Algorithmic Decision Making. HICSS 2022: 1-2 - [c11]Sandro Radovanovic, Boris Delibasic, Aleksandar Markovic, Milija Suknovic:
Achieving MAX-MIN Fair Cross-efficiency scores in Data Envelopment Analysis. HICSS 2022: 1-9 - [c10]Sandro Radovanovic, Boris Delibasic, Milija Suknovic:
Do we Reach Desired Disparate Impact with In-Processing Fairness Techniques? ITQM 2022: 257-264 - 2021
- [j7]Sandro Radovanovic, Boris Delibasic, Milija Suknovic:
Predicting dropout in online learning environments. Comput. Sci. Inf. Syst. 18(3): 957-978 (2021) - [c9]Sanja Rancic, Sandro Radovanovic, Boris Delibasic:
Investigating Oversampling Techniques for Fair Machine Learning Models. ICDSST 2021: 110-123 - 2020
- [c8]Ana Kovacevic, Milan Vukicevic, Sandro Radovanovic, Boris Delibasic:
CrEx-Wisdom Framework for Fusion of Crowd and Experts in Crowd Voting Environment - Machine Learning Approach. ADBIS/TPDL/EDA Workshops 2020: 131-144 - [c7]Sandro Radovanovic, Andrija Petrovic, Boris Delibasic, Milija Suknovic:
Enforcing fairness in logistic regression algorithm. INISTA 2020: 1-7 - [i1]Andrija Petrovic, Mladen Nikolic, Sandro Radovanovic, Boris Delibasic, Milos Jovanovic:
FAIR: Fair Adversarial Instance Re-weighting. CoRR abs/2011.07495 (2020)
2010 – 2019
- 2019
- [j6]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) - [j5]Sandro Radovanovic, Boris Delibasic, Milija Suknovic, Dajana Matovic:
Where will the next ski injury occur? A system for visual and predictive analytics of ski injuries. Oper. Res. 19(4): 973-992 (2019) - [c6]Sandro Radovanovic, Andrija Petrovic, Boris Delibasic, Milija Suknovic:
Ski Injury Predictions with Explanations. ICT Innovations 2019: 148-160 - 2018
- [j4]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 - 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
- [j3]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) - [j2]Milan Vukicevic, Sandro Radovanovic, Boris Delibasic, Milija Suknovic:
Extending meta-learning framework for clustering gene expression data with component-based algorithm design and internal evaluation measures. Int. J. Data Min. Bioinform. 14(2): 101-119 (2016) - [j1]Slobodan Perovic, Sandro Radovanovic, Vlasta Sikimic, Andrea Berber:
Optimal research team composition: data envelopment analysis of Fermilab experiments. Scientometrics 108(1): 83-111 (2016) - 2015
- [c3]Sandro Radovanovic, Milan Vukicevic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic:
Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. AIME 2015: 96-100 - [c2]Milan Vukicevic, Sandro Radovanovic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic:
Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples. KMO 2015: 695-706 - [c1]Milan Vukicevic, Sandro Radovanovic, Joaquin Vanschoren, Giulio Napolitano, Boris Delibasic:
Towards a Collaborative Platform for Advanced Meta-Learning in Healthcare Predictive Analytics. MetaSel@PKDD/ECML 2015: 112-114
Coauthor Index
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