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Empirical analysis of Information Theory point of view on Equal Odds Fairness Measure
Algorithmic decision-making is facing a rising concern of unwanted discrimination. Biases that exist in decision-making, data …
Sandro Radovanović, Boris Delibašić, Milija Suknović
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Do we Reach Desired Disparate Impact with In-Processing Fairness Techniques?
Using machine learning algorithms in social environments and systems requires stricter and more detailed control. More specifically, …
Sandro Radovanović, Boris Delibašić, Milija Suknović
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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
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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
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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
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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
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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
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CrEx-Wisdom Framework for Fusion of Crowd and Experts in Crowd Voting Environment – Machine Learning Approach
In recent years crowd-voting and crowd-sourcing systems are attracting increased attention in research and industry. As a part of …
Ana Kovačević, Milan Vukićević, Sandro Radovanović, Boris Delibašić
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Making hospital readmission classifier fair – What is the cost?
Creating predictive models using machine learning algorithms is often understood as a job where Data Scientist provides data to the …
Sandro Radovanović, Andrija Petrović, Boris Delibašić, Milija Suknović
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Ski Injury Predictions with Explanations
Providing prediction models for ski injuries is a very challenging classification problem. We propose a model for injury prediction …
Sandro Radovanović, Andrija Petrović, Boris Delibašić, Milija Suknović
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