Publications

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

Cite Project Source Document DOI

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.

Cite Project Source Document DOI

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

PDF Cite Project Source Document DOI

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.

Cite Project Source Document DOI

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

Cite Project Source Document DOI

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.

Cite Project Source Document

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

Cite Project Source Document

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.

PDF Cite Project Source Document

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.

PDF Cite Project Source Document

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.

PDF Cite Project Source Document

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

PDF Cite Project Source Document DOI

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

PDF Cite Project Source Document

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

PDF Cite Project Source Document

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

Cite Project Source Document DOI

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

Cite Project Source Document

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

PDF Cite Project Source Document DOI

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

PDF Cite Project Source Document DOI

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

Cite Project Source Document DOI

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

PDF Cite Project Source Document DOI

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

PDF Cite Project Source Document DOI

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.

PDF Cite Project Source Document DOI

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

PDF Cite Project Source Document DOI

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.

PDF Cite Project Source Document DOI

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.

PDF Cite Project Source Document DOI

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

PDF Cite Project Source Document DOI

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.

PDF Cite Project Source Document DOI

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

Cite Project Source Document DOI

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.

Cite Project Source Document DOI

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.

PDF Cite Project Source Document DOI

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.

PDF Cite Project Source Document DOI

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

PDF Cite Project Source Document DOI

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

PDF Cite Project Source Document DOI

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

PDF Cite Project Source Document DOI

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.

PDF Cite Project Source Document DOI

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.

PDF Cite Project Source Document DOI

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.

Cite Project Source Document DOI

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.

PDF Cite Project Source Document

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.

PDF Cite Project Source Document DOI

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

PDF Cite Project Source Document DOI

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.

Cite Project Source Document DOI

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.

PDF Cite Project Source Document DOI

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.

PDF Cite Project Source Document DOI

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.

Cite Project Source Document DOI

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

PDF Cite Project Source Document DOI