Machine Learning

BargCrEx: A System for Bargaining Based Aggregation of Crowd and Expert Opinions in Crowdsourcing
Crowdsourcing and crowd voting systems are being increasingly used in societal, industry, and academic problems (labeling, …
Ana Vukićević, Milan Vukićević, Sandro Radovanović, Boris Delibašić
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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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Is the personalized approach the key to improve clinical diagnosis of peri-implant conditions? The role of bone markers
Background - Study objectives were 1) to estimate diagnostic capacity of clinical parameters, receptor activator of nuclear factor …
Mia Rakić, Alberto Monje, Sandro Radovanović, Petković-Ćurčin Aleksandra, Vojvodić Danilo, Tatić Zoran
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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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IDPPi: Protein-Protein Interaction Analyses of Human Intrinsically Disordered Proteins
Intrinsically disordered proteins (IDPs) are characterized by the lack of a fixed tertiary structure and are involved in the regulation …
Vladimir Perović, Neven Šumonja, Linsey Marsh, Sandro Radovanović, Milan Vukićević, Stefan Roberts, Nevena Veljković
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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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