Sandro Radovanovic

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 25

Top Topics

Team Composition

Domain Knowledge

Predictive Analytics

Data Envelopment Analysis

Top Venues

ICT Innovations

Int. Trans. Oper. Res.

Publications

Andrija Petrovic, Sandro Radovanovic, Mladen Nikolic, Boris Delibasic, Milos Jovanovic
Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks. Appl. Soft Comput. 133 (2023)
Sandro Radovanovic, Andrija Petrovic, Zorica A. Dodevska, Boris Delibasic
FairAW - Additive weighting without discrimination. Intell. Data Anal. 27 (4) (2023)
Boris Delibasic, Drazenko Glavic, Sandro Radovanovic, Andrija Petrovic, Marina Milenkovic, Milija Suknovic
Multi-actor VIKOR Method for Highway Selection in Montenegro. ICDSST (2023)
Sandro Radovanovic, Marko Bohanec, Boris Delibasic
Extracting decision models for ski injury prediction from data. Int. Trans. Oper. Res. 30 (6) (2023)
Sandro Radovanovic, Andrija Petrovic, Boris Delibasic, Milija Suknovic
A fair classifier chain for multi-label bank marketing strategy classification. Int. Trans. Oper. Res. 30 (3) (2023)
Zorica A. Dodevska, Andrija Petrovic, Sandro Radovanovic, Boris Delibasic
Changing criteria weights to achieve fair VIKOR ranking: a postprocessing reranking approach. Auton. Agents Multi Agent Syst. 37 (1) (2023)
Boris Delibasic, Sandro Radovanovic
Introduction to the Minitrack on Fairness in Algorithmic Decision Making. HICSS (2022)
Sandro Radovanovic, Boris Delibasic, Aleksandar Markovic, Milija Suknovic
Achieving MAX-MIN Fair Cross-efficiency scores in Data Envelopment Analysis. HICSS (2022)
Sandro Radovanovic, Gordana Savic, Boris Delibasic, Milija Suknovic
FairDEA - Removing disparate impact from efficiency scores. Eur. J. Oper. Res. 301 (3) (2022)
Andrija Petrovic, Mladen Nikolic, Sandro Radovanovic, Boris Delibasic, Milos Jovanovic
FAIR: Fair adversarial instance re-weighting. Neurocomputing 476 (2022)
Sandro Radovanovic, Boris Delibasic, Milija Suknovic
Do we Reach Desired Disparate Impact with In-Processing Fairness Techniques? ITQM (2022)
Sanja Rancic, Sandro Radovanovic, Boris Delibasic
Investigating Oversampling Techniques for Fair Machine Learning Models. ICDSST (2021)
Sandro Radovanovic, Boris Delibasic, Milija Suknovic
Predicting dropout in online learning environments. Comput. Sci. Inf. Syst. 18 (3) (2021)
Ana Kovacevic, Milan Vukicevic, Sandro Radovanovic, Boris Delibasic
CrEx-Wisdom Framework for Fusion of Crowd and Experts in Crowd Voting Environment - Machine Learning Approach. ADBIS/TPDL/EDA Workshops (2020)
Sandro Radovanovic, Andrija Petrovic, Boris Delibasic, Milija Suknovic
Enforcing fairness in logistic regression algorithm. INISTA (2020)
Andrija Petrovic, Mladen Nikolic, Sandro Radovanovic, Boris Delibasic, Milos Jovanovic
FAIR: Fair Adversarial Instance Re-weighting. CoRR (2020)
Sandro Radovanovic, Andrija Petrovic, Boris Delibasic, Milija Suknovic
Ski Injury Predictions with Explanations. ICT Innovations (2019)
Sandro Radovanovic, Boris Delibasic, Milija Suknovic, Dajana Matovic
Where will the next ski injury occur? A system for visual and predictive analytics of ski injuries. Oper. Res. 19 (4) (2019)
Sandro Radovanovic, Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic
A Framework for Integrating Domain Knowledge in Logistic Regression with Application to Hospital Readmission Prediction. Int. J. Artif. Intell. Tools 28 (6) (2019)
Sandro Radovanovic, Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic
Framework for integration of domain knowledge into logistic regression. WIMS (2018)
Boris Delibasic, Sandro Radovanovic, Milos Jovanovic, Marko Bohanec, Milija Suknovic
Integrating knowledge from DEX hierarchies into a logistic regression stacking model for predicting ski injuries. J. Decis. Syst. 27 (Supp) (2018)
Boris Delibasic, Sandro Radovanovic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic
An Investigation of Human Trajectories in Ski Resorts. ICT Innovations (2017)
Slobodan Perovic, Sandro Radovanovic, Vlasta Sikimic, Andrea Berber
Optimal research team composition: data envelopment analysis of Fermilab experiments. Scientometrics 108 (1) (2016)
Milan Vukicevic, Sandro Radovanovic, Boris Delibasic, Milija Suknovic
Extending meta-learning framework for clustering gene expression data with component-based algorithm design and internal evaluation measures. Int. J. Data Min. Bioinform. 14 (2) (2016)
Milos Jovanovic, Sandro Radovanovic, Milan Vukicevic, Sven Van Poucke, Boris Delibasic
Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression. Artif. Intell. Medicine 72 (2016)
Milan Vukicevic, Sandro Radovanovic, Joaquin Vanschoren, Giulio Napolitano, Boris Delibasic
Towards a Collaborative Platform for Advanced Meta-Learning in Healthcare Predictive Analytics. MetaSel@PKDD/ECML (2015)
Sandro Radovanovic, Milan Vukicevic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic
Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction. AIME (2015)
Milan Vukicevic, Sandro Radovanovic, Ana Kovacevic, Gregor Stiglic, Zoran Obradovic
Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples. KMO (2015)