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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
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Are we really addressing fairness in machine learning algorithms?
This study explores the effectiveness of neural network regularization functions in measuring fairness, particularly analyzing the …
Sandro Radovanović, Milan Vukićević, Milija Suknović
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Exploring the Impact of Preference Functions on Risk Perceptions in Promethee Method
This paper investigates the relationship between various PROMETHEE preference functions and risk attitudes in decision making. By …
Sandro Radovanović, Boris Delibašić, Milija Suknović
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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
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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
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Analyzing Disparities in Machine Learning-based Ski Injury Prediction: A Longitudinal Study for Mt. Kopaonik Ski Resort
Using machine learning algorithms to predict the occurrence of ski injuries in recreational skiing is not a novel task. Although the …
Sandro Radovanović, Andrija Petrović, Boris Delibašić, Milija Suknović
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Skiing and Injuries: Discovering Cause-Effect Relationships Between Characteristics of Skiing and Ski Injuries
Skiing is attracting a large number of people around the world as a sport and pastime for decades. Although skiing provides enjoyment …
Sandro Radovanović, Boris Delibašić, Milija Suknović
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Can we identify what are the causes and effects of internal migrations? The case of Serbia
Internal migrations within countries have significant implications for various socio-economic factors and regional development. …
Sandro Radovanović, Boris Delibašić, Milija Suknović, 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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Envy-free Fair Student Dropout Prediction
Algorithmic decision-making influences everyday life by proposing and automating decisions. Although these models are in general more …
Sandro Radovanović, Boris Delibašić, Milija Suknović
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