1

A Counterfactual Approach to Measuring Impact of Policy Intervention on Efficiency – Synthetic Control Method and DEA
This paper investigates the combination of the Synthetic Control Method (SCM) and Data Envelopment Analysis (DEA) to evaluate the …
Ognjen Nikolić, Sandro Radovanović, Goran Savić
PDF Cite Project
Leveraging Large Language Models for Improved Medical Diagnostics through Structured Data Extraction
Tabular data, often hidden in medical diagnostic reports, poses challenges for traditional machine learning (ML) models. While …
Andrija Petrović, Milija Suknović, Sandro Radovanović, Boris Delibašić
PDF Cite Project
Adding counterfactual interpretation to DEA
This paper investigates the integration of the Synthetic Control Method (SCM), a proven method to analyze an impact of policy …
Goran Savić, Ognjen Nikolić, Sandro Radovanović
PDF Cite Project
Combining LLM and DIDEX method to predict Internal Migrations in Serbia
In this study, we explore the integration of vast knowledge from large language models to enhance the data-induced decision expert …
Sandro Radovanović, Boris Delibašić, Svetlana Vukanović
Cite Project Source Document
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
Cite Project Source Document DOI
Achieving MAX-MIN Fair Cross-efficiency scores in Data Envelopment Analysis
Algorithmic decision making is gaining popularity in today’s business. The need for fast, accurate, and complex decisions forces …
Sandro Radovanović, Boris Delibašić, Aleksandar Marković, Milija Suknović
PDF Cite Project Source Document
Eliminating Disparate Impact in MCDM: The case of TOPSIS
In today’s business, decision-making is heavily dependent on algorithms. Algorithms may originate from operational research, machine …
Sandro Radovanović, Andrija Petrović, Boris Delibašić, Milija Suknović
PDF Cite Project Source Document DOI
Investigating Oversampling Techniques for Fair Machine Learning Models
Applying machine learning in real-world applications may have various implications on companies, but individuals as well. Besides …
Sanja Rančić, Sandro Radovanović, Boris Delibašić
PDF Cite Project Source Document DOI
Improving Decision-Making in Ski Resorts by Analysing Ski Lift Transportation—A Review
This paper provides an overview of research on ski lift transportation data, a still heavily underused resource in ski resorts. To the …
Boris Delibašić, Sandro Radovanović, Miloš Jovanović, Milija Suknović
PDF Cite Project Source Document DOI
Enforcing fairness in logistic regression algorithm
Machine learning has been subject to discussion from the legal and ethical points of view in recent years. Automation of the …
Sandro Radovanović, Andrija Petrović, Boris Delibašić, Milija Suknović
PDF Cite Project Source Document DOI