Machine Learning

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
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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
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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
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Resolution of peri-implant mucositis following standard treatment: A prospective split-mouth study
Peri-implant mucositis (PIM) is a pathological precursor of peri-implantitis, but its pattern of conversion to peri-implantitis is …
Mia Rakić, Zoran Tatic, Sandro Radovanović, Aleksandra Petkovic-Curcin, Danilo Vojvodic, Alberto Monje
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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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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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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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