Publications

Sandro Radovanović, Boris Delibašić, Svetlana Vukanović (2024). Combining LLM and DIDEX method to predict Internal Migrations in Serbia. In ICDSST 2024.

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Luigi Canullo, Antonacci Donato, Paolo Savadori, Sandro Radovanović, Roberta Iacono, Mia Rakić (2024). Effect of argon plasma abutment activation on soft tissue healing: RCT with histological assessment. In CIDRR.

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Mia Rakić, Luigi Canullo, Sandro Radovanović, Zoran Tatic, Milena Radunovic, Assem Souedain, Pierre Weiss, Xavier Struillou, Danilo Vojvodic (2024). Diagnostic value of VEGF in peri-implantitis and its correlation with titanium particles: A controlled clinical study. In Dental Materials.

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Aleksandra Grdinic Galovic, Sandro Radovanović, Jostein Gleditsch, Camilla Tøvik Jørgensen, Elia Asady, Heidi Hassel Pettersen, Boris Delibašić, Waleed Ghanima (2024). Developing a machine learning model for bleeding prediction in patients with cancer-associated thrombosis receiving anticoagulation therapy. In JTH.

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Mia Rakić, Zoran Tatic, Sandro Radovanović, Aleksandra Petkovic-Curcin, Danilo Vojvodic, Alberto Monje (2023). Resolution of peri-implant mucositis following standard treatment: A prospective split-mouth study. In JPER.

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Miloš Milosavljević, Sandro Radovanović, Boris Delibašić (2023). What drives the performance of tax administrations? Evidence from selected European countries. In Economic Modelling.

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Boris Delibašić, Draženko Glavić, Sandro Radovanović, Andrija Petrović, Marina Milenković, Milija Suknović (2023). Multi-actor VIKOR Method for Highway Selection in Montenegro. In ICDSST 2023.

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Boris Delibašić, Sandro Radovanović, Svetlana Vukanović (2023). A Decision Support System For Internal Migration Policy-Making. In IPSI TIR.

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Luka Ivanović, Sandro Radovanović, Gordana Savić, Boris Delibašić, Milena Popović (2023). Team-Bounded DEA Efficiency Scores: The Case of UEFA Champions League Players. In YUJOR.

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Sandro Radovanović, Marko Bohanec, Boris Delibašić (2023). Extracting decision models for ski injury prediction from data. In ITOR.

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Andrija Petrović, Sandro Radovanović, Mladen Nikolić, Boris Delibašić, Miloš Jovanović (2022). Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks. In ASC.

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Zorica Dodevska, Andrija Petrović, Sandro Radovanović, Boris Delibašić (2022). Changing criteria weights to achieve fair VIKOR ranking: a postprocessing reranking approach. In AAMAS.

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Boris Delibašić, Sandro Radovanović, Miloš Jovanović, Zoran Obradović, Milija Suknović, Ranko Lojić (2022). A study on ski groups size and their relationship to the risk of injury. In JSET.

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Vlasta Sikimić, Sandro Radovanović (2022). Machine learning in scientific grant review: algorithmically predicting project efficiency in high energy physics. In European Journal for Philosophy of Science.

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Ana Vukićević, Milan Vukićević, Sandro Radovanović, Boris Delibašić (2022). BargCrEx: A System for Bargaining Based Aggregation of Crowd and Expert Opinions in Crowdsourcing. In Group Decision and Negotiation.

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Sandro Radovanović, Boris Delibašić, Milija Suknović (2022). Do we Reach Desired Disparate Impact with In-Processing Fairness Techniques?. In Procedia.

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Sandro Radovanović, Boris Delibašić, Aleksandar Marković, Milija Suknović (2022). Achieving MAX-MIN Fair Cross-efficiency scores in Data Envelopment Analysis. In HICSS-55.

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Andrija Petrović, Mladen Nikolić, Sandro Radovanović, Boris Delibašić, Miloš Jovanović (2022). FAIR: Fair Adversarial Instance Re-weighting. In Neurocomputing.

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Sandro Radovanović, Gordana Savić, Boris Delibašić, Milija Suknović (2021). FairDEA - Removing Disparate Impact from Efficiency Scores. In EJOR.

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Miloš Milosavljević, Sandro Radovanović, Boris Delibašić (2021). Evaluation of public procurement efficiency of the EU countries using preference learning TOPSIS method. In ECECSR.

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Sandro Radovanović, Andrija Petrović, Boris Delibašić, Milija Suknović (2021). Eliminating Disparate Impact in MCDM: The case of TOPSIS. In CECIIS 2021.

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Sanja Rančić, Sandro Radovanović, Boris Delibašić (2021). Investigating Oversampling Techniques for Fair Machine Learning Models. In ICDSST 2021.

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Sandro Radovanović, Andrija Petrović, Boris Delibašić, Milija Suknović (2021). A fair classifier chain for multi-label bank marketing strategy classification. In ITOR.

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Sandro Radovanović, Marko Ivić (2021). Enabling Equal Opportunity in Logistic Regression Algorithm. In Management.

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Sandro Radovanović, Boris Delibašić, Milija Suknović (2021). Predicting Dropout in Online Learning Environments. In COMSIS.

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Boris Delibašić, Sandro Radovanović, Miloš Jovanović, Milija Suknović (2020). Improving Decision-Making in Ski Resorts by Analysing Ski Lift Transportation—A Review. In BALCOR 2019.

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Sandro Radovanović, Andrija Petrović, Boris Delibašić, Milija Suknović (2020). Enforcing fairness in logistic regression algorithm. In INISTA 2020.

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Mia Rakić, Alberto Monje, Sandro Radovanović, Petković-Ćurčin Aleksandra, Vojvodić Danilo, Tatić Zoran (2020). Is the personalized approach the key to improve clinical diagnosis of peri-implant conditions? The role of bone markers. In Journal of periodontology.

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Ana Kovačević, Milan Vukićević, Sandro Radovanović, Boris Delibašić (2020). CrEx-Wisdom Framework for Fusion of Crowd and Experts in Crowd Voting Environment – Machine Learning Approach. In MADEIST 2020.

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Sandro Radovanović, Andrija Petrović, Boris Delibašić, Milija Suknović (2019). Making hospital readmission classifier fair – What is the cost?. In CECIIS 2019.

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Sandro Radovanović, Boris Delibašić, Milija Suknović (2019). Where will the next ski injury occur? A system for visual and predictive analytics of ski injuries. In Operational Research.

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Sandro Radovanović, Andrija Petrović, Boris Delibašić, Milija Suknović (2019). Ski Injury Predictions with Explanations. In ICT Innovations 2019.

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Sandro Radovanović, Boris Delibašić, Miloš Jovanović, Milan Vukićević, Milija Suknović (2019). A Framework for Integrating Domain Knowledge in Logistic Regression with Application to Hospital Readmission Prediction. In IJAIT.

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Boris Delibašić, Sandro Radovanović, Miloš Jovanović, Marko Bohanec, Milija Suknović (2018). Integrating knowledge from DEX hierarchies into a logistic regression stacking model for predicting ski injuries. In Journal of Decision Systems.

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Vladimir Perović, Neven Šumonja, Linsey Marsh, Sandro Radovanović, Milan Vukićević, Stefan Roberts, Nevena Veljković (2018). IDPPi: Protein-Protein Interaction Analyses of Human Intrinsically Disordered Proteins. In Nature Scientific Reports.

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Sandro Radovanović, Boris Delibašić, Miloš Jovanović, Milan Vukićević, Milija Suknović (2018). Framework for integration of domain knowledge into logistic regression. In WIMS 2018.

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Boris Delibašić, Sandro Radovanović, Miloš Jovanović, Zoran Obradović, Milija Suknović (2017). Ski injury predictive analytics from massive ski lift transportation data. In JSET.

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Boris Delibašić, Sandro Radovanović, Miloš Jovanović, Milan Vukićević, Milija Suknović (2017). An investigation of human trajectories in Ski Resorts. In ICT Innovations 2017.

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Mia Rakić, Pablo Galindo-Moreno, Alberto Monje, Sandro Radovanović, Hom-Lay Wang, David Cochran, Anton Sculean, Luigi Canullo (2017). How frequently does Peri-implantitis occur? A Systematic Review and Meta-Analysis. In Clinical Oral Investigation.

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Luigi Canullo, Sandro Radovanović, Boris Delibašić, Juan Antonio Blaya, David Penarrocha, Mia Rakić (2017). How frequently does Peri-implantitis occur? A Systematic Review and Meta-Analysis. In Clinical Oral Investigation.

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Miloš Jovanović, Sandro Radovanović, Milan Vukićević, Sven Van Poucke, Milija Suknović (2016). Building interpretable predictive models for pediatric hospital readmission using tree-lasso logistic regression. In AIIM.

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Milan Vukićević, Sandro Radovanović, Gregor Štiglic, Boris Delibašić, Sven Van Poucke, Zoran Obradović (2016). A Data and Knowledge Driven Randomization Technique for Privacy-Preserving Data Enrichment in Hospital Readmission Prediction. In SDM DMMH Workshop 2016.

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Milan Vukićević, Sandro Radovanović, Boris Delibašić, Milija Suknović (2016). Extending meta-learning framework for clustering gene expression data with component-based algorithm design and internal evaluation measures. In IJDMB.

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Slobodan Perović, Sandro Radovanović, Vlasta Sikimić, Andrea Berber (2016). Optimal research team composition: data envelopment analysis of Fermilab experiments. In Scientometrics.

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Luigi Canullo, Marco Tallarico, Sandro Radovanović, Boris Delibašić, Ugo Covani, Mia Rakić (2016). Distinguishing predictive profiles for patientbased risk assessment and diagnostics of plaque induced, surgically and prosthetically triggered peri-implantitis. In Clinical Oral Investigation.

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Milan Vukićević, Sandro Radovanović, Ana Kovačević, Gregor Štiglic, Zoran Obradović (2015). Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples. In Knowledge Management in Organizations 2015.

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Sandro Radovanović, Milan Vukićević, Ana Kovačević, Gregor Štiglic, Zoran Obradović (2015). Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. In AIME 2015.

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Milan Radojičić, Gordana Savić, Sandro Radovanović, Veljko Jeremić (2015). A Novel Bootstrap DBA-DEA Approach in Evaluating Efficiency of Banks. In BALCOR 2015.

Sandro Radovanović, Milan Radojičić, Gordana Savić (2014). Two-phased DEA-MLA approach for predicting efficiency of NBA players. In YUJOR.

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Sandro Radovanović, Milan Radojičić, Veljko Jeremić, Gordana Savić (2013). A Novel Approach in Evaluating Efficiency of Basketball Players. In Management.

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