Sandro Radovanovic

Orcid: 0000-0002-9975-8844

According to our database1, Sandro Radovanovic authored at least 27 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Extracting decision models for ski injury prediction from data.
Int. Trans. Oper. Res., November, 2023

A fair classifier chain for multi-label bank marketing strategy classification.
Int. Trans. Oper. Res., May, 2023

Structured prediction of sparse dependent variables for traffic state estimation in large-scale networks.
Appl. Soft Comput., January, 2023

FairAW - Additive weighting without discrimination.
Intell. Data Anal., 2023

Changing criteria weights to achieve fair VIKOR ranking: a postprocessing reranking approach.
Auton. Agents Multi Agent Syst., 2023

Multi-actor VIKOR Method for Highway Selection in Montenegro.
Proceedings of the Decision Support Systems XIII. Decision Support Systems in An Uncertain World: The Contribution of Digital Twins, 2023

2022
FAIR: Fair adversarial instance re-weighting.
Neurocomputing, 2022

FairDEA - Removing disparate impact from efficiency scores.
Eur. J. Oper. Res., 2022

Do we Reach Desired Disparate Impact with In-Processing Fairness Techniques?
Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

Achieving MAX-MIN Fair Cross-efficiency scores in Data Envelopment Analysis.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Introduction to the Minitrack on Fairness in Algorithmic Decision Making.
Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021
Predicting dropout in online learning environments.
Comput. Sci. Inf. Syst., 2021

Investigating Oversampling Techniques for Fair Machine Learning Models.
Proceedings of the Decision Support Systems XI: Decision Support Systems, Analytics and Technologies in Response to Global Crisis Management, 2021

2020
Enforcing fairness in logistic regression algorithm.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

CrEx-Wisdom Framework for Fusion of Crowd and Experts in Crowd Voting Environment - Machine Learning Approach.
Proceedings of the ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, 2020

2019
Where will the next ski injury occur? A system for visual and predictive analytics of ski injuries.
Oper. Res., 2019

A Framework for Integrating Domain Knowledge in Logistic Regression with Application to Hospital Readmission Prediction.
Int. J. Artif. Intell. Tools, 2019

Ski Injury Predictions with Explanations.
Proceedings of the ICT Innovations 2019. Big Data Processing and Mining, 2019

2018
Integrating knowledge from DEX hierarchies into a logistic regression stacking model for predicting ski injuries.
J. Decis. Syst., 2018

Framework for integration of domain knowledge into logistic regression.
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

2017
An Investigation of Human Trajectories in Ski Resorts.
Proceedings of the ICT Innovations 2017, 2017

2016
Optimal research team composition: data envelopment analysis of Fermilab experiments.
Scientometrics, 2016

Extending meta-learning framework for clustering gene expression data with component-based algorithm design and internal evaluation measures.
Int. J. Data Min. Bioinform., 2016

Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression.
Artif. Intell. Medicine, 2016

2015
Towards a Collaborative Platform for Advanced Meta-Learning in Healthcare Predictive Analytics.
Proceedings of the 2015 International Workshop on Meta-Learning and Algorithm Selection co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2015 (ECMLPKDD 2015), 2015

Improving Hospital Readmission Prediction Using Domain Knowledge Based Virtual Examples.
Proceedings of the Knowledge Management in Organizations - 10th International Conference, 2015

Domain knowledge Based Hierarchical Feature Selection for 30-Day Hospital Readmission Prediction.
Proceedings of the Artificial Intelligence in Medicine, 2015


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