Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. - Sandro Radovanovic; Milan Vukicevic; Ana Kovacevic; Gregor Stiglic; Zoran Obradovic (AIME, 2015)

Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples. - Milan Vukicevic; Sandro Radovanovic; Ana Kovacevic; Gregor Stiglic; Zoran Obradovic (KMO, 2015)

Towards a Collaborative Platform for Advanced Meta-Learning in Healthcare Predictive Analytics. - Milan Vukicevic; Sandro Radovanovic; Joaquin Vanschoren; Giulio Napolitano; Boris Delibasic (MetaSel@PKDD/ECML, 2015)

Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression. - Milos Jovanovic 002; Sandro Radovanovic; Milan Vukicevic; Sven Van Poucke; Boris Delibasic (Artif. Intell. Medicine, 2016)

Extending meta-learning framework for clustering gene expression data with component-based algorithm design and internal evaluation measures. - Milan Vukicevic; Sandro Radovanovic; Boris Delibasic; Milija Suknovic (Int. J. Data Min. Bioinform., 2016)

Optimal research team composition: data envelopment analysis of Fermilab experiments. - Slobodan Perovic; Sandro Radovanovic; Vlasta Sikimic; Andrea Berber (Scientometrics, 2016)

An Investigation of Human Trajectories in Ski Resorts. - Boris Delibasic; Sandro Radovanovic; Milos Jovanovic 002; Milan Vukicevic; Milija Suknovic (ICT Innovations, 2017)

Framework for integration of domain knowledge into logistic regression. - Sandro Radovanovic; Boris Delibasic; Milos Jovanovic 002; Milan Vukicevic; Milija Suknovic (WIMS, 2018)

Integrating knowledge from DEX hierarchies into a logistic regression stacking model for predicting ski injuries. - Boris Delibasic; Sandro Radovanovic; Milos Jovanovic 002; Marko Bohanec; Milija Suknovic (J. Decis. Syst., 2018)

Ski Injury Predictions with Explanations. - Sandro Radovanovic; Andrija Petrovic; Boris Delibasic; Milija Suknovic (ICT Innovations, 2019)

A Framework for Integrating Domain Knowledge in Logistic Regression with Application to Hospital Readmission Prediction. - Sandro Radovanovic; Boris Delibasic; Milos Jovanovic 002; Milan Vukicevic; Milija Suknovic (Int. J. Artif. Intell. Tools, 2019)

Where will the next ski injury occur? A system for visual and predictive analytics of ski injuries. - Sandro Radovanovic; Boris Delibasic; Milija Suknovic; Dajana Matovic (Oper. Res., 2019)

CrEx-Wisdom Framework for Fusion of Crowd and Experts in Crowd Voting Environment - Machine Learning Approach. - Ana Kovacevic; Milan Vukicevic; Sandro Radovanovic; Boris Delibasic (ADBIS/TPDL/EDA Workshops, 2020)

Enforcing fairness in logistic regression algorithm. - Sandro Radovanovic; Andrija Petrovic; Boris Delibasic; Milija Suknovic (INISTA, 2020)

Investigating Oversampling Techniques for Fair Machine Learning Models. - Sanja Rancic; Sandro Radovanovic; Boris Delibasic (ICDSST, 2021)

Predicting dropout in online learning environments. - Sandro Radovanovic; Boris Delibasic; Milija Suknovic (Comput. Sci. Inf. Syst., 2021)

Introduction to the Minitrack on Fairness in Algorithmic Decision Making. - Boris Delibasic; Sandro Radovanovic (HICSS, 2022)

Achieving MAX-MIN Fair Cross-efficiency scores in Data Envelopment Analysis. - Sandro Radovanovic; Boris Delibasic; Aleksandar Markovic 002; Milija Suknovic (HICSS, 2022)

Do we Reach Desired Disparate Impact with In-Processing Fairness Techniques? - Sandro Radovanovic; Boris Delibasic; Milija Suknovic (ITQM, 2022)

FairDEA - Removing disparate impact from efficiency scores. - Sandro Radovanovic; Gordana Savic; Boris Delibasic; Milija Suknovic (Eur. J. Oper. Res., 2022)

FAIR: Fair adversarial instance re-weighting. - Andrija Petrovic; Mladen Nikolic; Sandro Radovanovic; Boris Delibasic; Milos Jovanovic 002 (Neurocomputing, 2022)

Multi-actor VIKOR Method for Highway Selection in Montenegro. - Boris Delibasic; Drazenko Glavic; Sandro Radovanovic; Andrija Petrovic; Marina Milenkovic; Milija Suknovic (ICDSST, 2023)

Changing criteria weights to achieve fair VIKOR ranking: a postprocessing reranking approach. - Zorica A. Dodevska; Andrija Petrovic; Sandro Radovanovic; Boris Delibasic (Auton. Agents Multi Agent Syst., 2023)

FairAW - Additive weighting without discrimination. - Sandro Radovanovic; Andrija Petrovic; Zorica A. Dodevska; Boris Delibasic (Intell. Data Anal., 2023)

Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks. - Andrija Petrovic; Sandro Radovanovic; Mladen Nikolic; Boris Delibasic; Milos Jovanovic 002 (Appl. Soft Comput., 2023)

A fair classifier chain for multi-label bank marketing strategy classification. - Sandro Radovanovic; Andrija Petrovic; Boris Delibasic; Milija Suknovic (Int. Trans. Oper. Res., 2023)

Extracting decision models for ski injury prediction from data. - Sandro Radovanovic; Marko Bohanec; Boris Delibasic (Int. Trans. Oper. Res., 2023)

Co-Designing a Chatbot for Culturally Competent Clinical Communication: Experience and Reflections. - Sandro Radovanovic; Shuangyu Li (CoRR, 2025)