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Last updated on Jan 16, 2022
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Every paper that is not a part of the research project is included here.

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Sandro Radovanović
Sandro Radovanović
Assistant Professor at University of Belgrade

My research interests include machine learning, development and design of decision support systems, decision theory, and fairness and justice concepts in algorithmic decision making.

Posts

Introduction
Sandro Radovanović, Algorithmic fairness, ML for medicine, ski injury predictions
Sandro Radovanović
Last updated on Jan 16, 2022 3 min read Introduction
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Introduction

Publications

A Decision Support System For Internal Migration Policy-Making
This paper proposes a decision support system for internal migration policy in the Republic of Serbia, which uses machine learning and …
Boris Delibašić, Sandro Radovanović, Svetlana Vukanović
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Multi-actor VIKOR Method for Highway Selection in Montenegro
Nowadays, decision-making systems in modern infrastructural planning greatly impact everyday life. This paper proposes a novel …
Boris Delibašić, Draženko Glavić, Sandro Radovanović, Andrija Petrović, Marina Milenković, Milija Suknović
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What drives the performance of tax administrations? Evidence from selected European countries
An effective, efficient, fair, and trusted tax administration is a top priority for every country in the world; however, tax …
Miloš Milosavljević, Sandro Radovanović, Boris Delibašić
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Team-Bounded DEA Efficiency Scores: The Case of UEFA Champions League Players
Measuring the efficiency of a football player is an interesting task. Every player invests time and energy to produce an outcome during …
Luka Ivanović, Sandro Radovanović, Gordana Savić, Boris Delibašić, Milena Popović
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Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks
Currently, one of the biggest challenges in modern traffic engineering is related to traffic state estimation (TSE). Although many …
Andrija Petrović, Sandro Radovanović, Mladen Nikolić, Boris Delibašić, Miloš Jovanović
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Machine learning in scientific grant review: algorithmically predicting project efficiency in high energy physics
As more objections have been raised against grant peer-review for being costly and time-consuming, the legitimate question arises …
Vlasta Sikimić, Sandro Radovanović
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Evaluation of public procurement efficiency of the EU countries using preference learning TOPSIS method
Holding governments accountable for public procurement efficiency has been high on the agenda of public finance practitioners in the …
Miloš Milosavljević, Sandro Radovanović, Boris Delibašić
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Predicting Dropout in Online Learning Environments
Online learning environments became popular in recent years. Due to high attrition rates, the problem of student dropouts became of …
Sandro Radovanović, Boris Delibašić, Milija Suknović
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Optimal research team composition: data envelopment analysis of Fermilab experiments
We employ data envelopment analysis on a series of experiments performed in Fermilab, one of the major high-energy physics laboratories …
Slobodan Perović, Sandro Radovanović, Vlasta Sikimić, Andrea Berber
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A Novel Bootstrap DBA-DEA Approach in Evaluating Efficiency of Banks
Efficiency evaluation has long been an issue of great concern for the banking sector (financial institutions and for the banks …
Milan Radojičić, Gordana Savić, Sandro Radovanović, Veljko Jeremić
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Two-phased DEA-MLA approach for predicting efficiency of NBA players
In sports, a calculation of efficiency is considered to be one of the most challenging tasks. In this paper, DEA is used to evaluate an …
Sandro Radovanović, Milan Radojičić, Gordana Savić
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A Novel Approach in Evaluating Efficiency of Basketball Players
Contemporary business, and thus sports, should take advantage of statistical and mathematical methods for the assessment of efficiency. …
Sandro Radovanović, Milan Radojičić, Veljko Jeremić, Gordana Savić
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