Machine Learning

Transforming Machine Learning Models to Decision Support Systems
We present a systematic approach for transforming machine learning (ML) models into decision support systems (DSS) suitable for …
Boris Delibašić, Sandro Radovanović, Milija Suknović
Cite Project Source Document
A comparison between DSS and ML models for churn prediction
This paper compares the accuracy and convenience of a classical machine learning algorithm, a decision tree, and a classical decision …
Boris Delibašić, Sandro Radovanović, Marko Bohanec, Milija Suknović
Cite Project Source Document
Industrial Early Warning Composite Index (IEWCI)
A predictive tool leveraging machine learning to help Serbian SMEs anticipate industrial market fluctuations.
Sandro Radovanović
Last updated on Feb 9, 2025 1 min read Predictive Analytics, Economic Indicators
Industrial Early Warning Composite Index (IEWCI)
Fairness and Equity in Algorithmic Decision-Making
This chapter explores the issue of algorithmic fairness, particularly in the context of automated decision-making systems and machine …
Sandro Radovanović, Andrija Petrović, Boris Delibašić, Milija Suknović
PDF Cite Project Source Document
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
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
PDF Cite Project Source Document
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
PDF Cite Project Source Document
Effect of argon plasma abutment activation on soft tissue healing: RCT with histological assessment
To assess the peri-implant soft tissue profiles between argon plasma treatment (PT) and non-treated (NPT) healing abutments by …
Luigi Canullo, Antonacci Donato, Paolo Savadori, Sandro Radovanović, Roberta Iacono, Mia Rakić
PDF Cite Project Source Document DOI
Diagnostic value of VEGF in peri-implantitis and its correlation with titanium particles: A controlled clinical study
VEGF is prototypic marker of neovascularization, repeatedly proposed as intrinsic characteristic of peri-implantitis. This study aimed …
Mia Rakić, Luigi Canullo, Sandro Radovanović, Zoran Tatic, Milena Radunovic, Assem Souedain, Pierre Weiss, Xavier Struillou, Danilo Vojvodic
Cite Project Source Document DOI
Developing a machine learning model for bleeding prediction in patients with cancer-associated thrombosis receiving anticoagulation therapy
Only 1 conventional score is available for assessing bleeding risk in patients with cancer-associated thrombosis (CAT) the CAT-BLEED …
Aleksandra Grdinic Galovic, Sandro Radovanović, Jostein Gleditsch, Camilla Tøvik Jørgensen, Elia Asady, Heidi Hassel Pettersen, Boris Delibašić, Waleed Ghanima
Cite Project Source Document DOI