Boris Delibasic

According to our database, Boris Delibasic authored at least 57 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Guest editorial: Computer science and information systems applied to management, innovation and sustainability.

Ernesto León-Castro, Boris Delibasic, Ivan Lukovic

Comput. Sci. Inf. Syst., 2024

2023

Extracting decision models for ski injury prediction from data.

Sandro Radovanovic, Marko Bohanec, Boris Delibasic

Int. Trans. Oper. Res., November, 2023

A fair classifier chain for multi-label bank marketing strategy classification.

Sandro Radovanovic, Andrija Petrovic, Boris Delibasic, Milija Suknovic

Int. Trans. Oper. Res., May, 2023

Controlling highway toll stations using deep learning, queuing theory, and differential evolution.

Andrija Petrovic, Mladen Nikolic, Ugljesa Bugaric, Boris Delibasic, Pietro Liò

Eng. Appl. Artif. Intell., March, 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

Appl. Soft Comput., January, 2023

FairAW - Additive weighting without discrimination.

Sandro Radovanovic, Andrija Petrovic, Zorica A. Dodevska, Boris Delibasic

Intell. Data Anal., 2023

Gaussian conditional random fields for classification.

Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Boris Delibasic

Expert Syst. Appl., 2023

CERN for AGI: A Theoretical Framework for Autonomous Simulation-Based Artificial Intelligence Testing and Alignment.

Ljubisa Bojic, Matteo Cinelli, Dubravko Culibrk, Boris Delibasic

CoRR, 2023

Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces.

Max Zhu, Katarzyna Kobalczyk, Andrija Petrovic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Petro Liò

CoRR, 2023

Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models.

Aleksa Bisercic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Pietro Liò, Andrija Petrovic

CoRR, 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

Multi-actor VIKOR Method for Highway Selection in Montenegro.

Boris Delibasic, Drazenko Glavic, Sandro Radovanovic, Andrija Petrovic, Marina Milenkovic, Milija Suknovic

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.

Andrija Petrovic, Mladen Nikolic, Sandro Radovanovic, Boris Delibasic, Milos Jovanovic

Neurocomputing, 2022

FairDEA - Removing disparate impact from efficiency scores.

Sandro Radovanovic, Gordana Savic, Boris Delibasic, Milija Suknovic

Eur. J. Oper. Res., 2022

A machine learning approach for learning temporal point process.

Andrija Petrovic, Aleksa Bisercic, Boris Delibasic, Dimitrije Milenkovic

Comput. Sci. Inf. Syst., 2022

Do we Reach Desired Disparate Impact with In-Processing Fairness Techniques?

Sandro Radovanovic, Boris Delibasic, Milija Suknovic

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

Achieving MAX-MIN Fair Cross-efficiency scores in Data Envelopment Analysis.

Sandro Radovanovic, Boris Delibasic, Aleksandar Markovic, Milija Suknovic

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Introduction to the Minitrack on Fairness in Algorithmic Decision Making.

Boris Delibasic, Sandro Radovanovic

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021

Fair classification via Monte Carlo policy gradient method.

Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Milos Bijanic, Boris Delibasic

Eng. Appl. Artif. Intell., 2021

Students' preferences in selection of computer science and informatics studies: A comprehensive empirical case studyStudents' preferences in selection of computer science and informatics studies: A comprehensive empirical case study.

Milos Savic, Mirjana Ivanovic, Ivan Lukovic, Boris Delibasic, Jelica Protic, Dragan Jankovic

Comput. Sci. Inf. Syst., 2021

Predicting dropout in online learning environments.

Sandro Radovanovic, Boris Delibasic, Milija Suknovic

Comput. Sci. Inf. Syst., 2021

Investigating Oversampling Techniques for Fair Machine Learning Models.

Sanja Rancic, Sandro Radovanovic, Boris Delibasic

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.

Sandro Radovanovic, Andrija Petrovic, Boris Delibasic, Milija Suknovic

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

Two Sides of Collective Decision Making - Votes from Crowd and Knowledge from Experts.

Zorica A. Dodevska, Ana Kovacevic, Milan Vukicevic, Boris Delibasic

Proceedings of the Decision Support Systems X: Cognitive Decision Support Systems and Technologies, 2020

CrEx-Wisdom Framework for Fusion of Crowd and Experts in Crowd Voting Environment - Machine Learning Approach.

Ana Kovacevic, Milan Vukicevic, Sandro Radovanovic, Boris Delibasic

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.

Sandro Radovanovic, Boris Delibasic, Milija Suknovic, Dajana Matovic

Oper. Res., 2019

A Framework for Integrating Domain Knowledge in Logistic Regression with Application to Hospital Readmission Prediction.

Sandro Radovanovic, Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic

Int. J. Artif. Intell. Tools, 2019

Ski Injury Predictions with Explanations.

Sandro Radovanovic, Andrija Petrovic, Boris Delibasic, Milija Suknovic

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.

Boris Delibasic, Sandro Radovanovic, Milos Jovanovic, Marko Bohanec, Milija Suknovic

J. Decis. Syst., 2018

Framework for integration of domain knowledge into logistic regression.

Sandro Radovanovic, Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic

Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

2017

Mining Skier Transportation Patterns From Ski Resort Lift Usage Data.

Boris Delibasic, Petar Markovic, Pavlos Delias, Zoran Obradovic

IEEE Trans. Hum. Mach. Syst., 2017

Sustainable knowledge-based decision support systems (DSS): perspectives, new challenges and recent advance.

Shaofeng Liu, Boris Delibasic, Lynne Butel, Xue Han

Ind. Manag. Data Syst., 2017

An Investigation of Human Trajectories in Ski Resorts.

Boris Delibasic, Sandro Radovanovic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic

Proceedings of the ICT Innovations 2017, 2017

2016

A Skiing Trace Clustering Model for Injury Risk Assessment.

Milan Dobrota, Boris Delibasic, Pavlos Delias

Int. J. Decis. Support Syst. Technol., 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

Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression.

Milos Jovanovic, Sandro Radovanovic, Milan Vukicevic, Sven Van Poucke, Boris Delibasic

Artif. Intell. Medicine, 2016

Facilitating data preprocessing by a generic framework: a proposal for clustering.

Kathrin Kirchner, Jelena Zec, Boris Delibasic

Artif. Intell. Rev., 2016

2015

An Application of the Integrated IBA-TOPSIS Model in Supplier Selection.

Ksenija Mandic, Boris Delibasic, Dragan G. Radojevic

Int. J. Decis. Support Syst. Technol., 2015

Towards a Collaborative Platform for Advanced Meta-Learning in Healthcare Predictive Analytics.

Milan Vukicevic, Sandro Radovanovic, Joaquin Vanschoren, Giulio Napolitano, Boris Delibasic

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

Modeling Interactions Among Criteria in MCDM Methods: A Review.

Ksenija Mandic, Vjekoslav Bobar, Boris Delibasic

Proceedings of the Decision Support Systems V - Big Data Analytics for Decision Making, 2015

Data-Mining and Expert Models for Predicting Injury Risk in Ski Resorts.

Marko Bohanec, Boris Delibasic

Proceedings of the Decision Support Systems V - Big Data Analytics for Decision Making, 2015

2014

Evolutionary approach for automated component-based decision tree algorithm design.

Milos Jovanovic, Boris Delibasic, Milan Vukicevic, Milija Suknovic, Milan Martic

Intell. Data Anal., 2014

Supplier Selection Using Interpolative Boolean Algebra and Logic Aggregation.

Ksenija Mandic, Boris Delibasic

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

2013

White-Box or Black-Box Decision Tree Algorithms: Which to Use in Education?

Boris Delibasic, Milan Vukicevic, Milos Jovanovic, Milija Suknovic

IEEE Trans. Educ., 2013

Finding best algorithmic components for clustering microarray data.

Milan Vukicevic, Kathrin Kirchner, Boris Delibasic, Milos Jovanovic, Johannes Ruhland, Milija Suknovic

Knowl. Inf. Syst., 2013

2012

Reusable Component-Based Architecture for Decision Tree Algorithm Design.

Milan Vukicevic, Milos Jovanovic, Boris Delibasic, Sonja Isljamovic, Milija Suknovic

Int. J. Artif. Intell. Tools, 2012

A case-based reasoning model that uses preference theory functions for credit scoring.

Sanja Vukovic, Boris Delibasic, Ana Uzelac, Milija Suknovic

Expert Syst. Appl., 2012

An architecture for component-based design of representative-based clustering algorithms.

Boris Delibasic, Milan Vukicevic, Milos Jovanovic, Kathrin Kirchner, Johannes Ruhland, Milija Suknovic

Data Knowl. Eng., 2012

Reusable components in decision tree induction algorithms.

Milija Suknovic, Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Dragana Becejski-Vujaklija, Zoran Obradovic

Comput. Stat., 2012

How Do Various Categorical Similarity Measures Influence the CBR Credit Scoring Model?

Sanja Vukovic, Boris Delibasic, Milija Suknovic

Proceedings of the Advances in Data Mining, 12th Industrial Conference, 2012

Towards a DGSS Prototype for Early Warning for Ski Injuries.

Boris Delibasic, Zoran Obradovic

Proceedings of the Workshops Proceedings of the IEEE 28th International Conference on Data Engineering, 2012

A method for design of data-tailored partitioning algorithms for optimizing the number of clusters in microarray analysis.

Milan Vukicevic, Boris Delibasic, Milos Jovanovic, Milija Suknovic, Zoran Obradovic

Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

2011

Component-based decision trees for classification.

Boris Delibasic, Milos Jovanovic, Milan Vukicevic, Milija Suknovic, Zoran Obradovic

Intell. Data Anal., 2011

Internal Evaluation Measures as Proxies for External Indices in Clustering Gene Expression Data.

Milan Vukicevic, Boris Delibasic, Milos Jovanovic, Milija Suknovic, Zoran Obradovic

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2009

Reusable components for partitioning clustering algorithms.

Boris Delibasic, Kathrin Kirchner, Johannes Ruhland, Milos Jovanovic, Milan Vukicevic

Artif. Intell. Rev., 2009

2007

A Pattern Based Data Mining Approach.

Boris Delibasic, Kathrin Kirchner, Johannes Ruhland

Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2006

Loan Granting Knowledge System.

Boris Delibasic, Milija Suknovic

J. Decis. Syst., 2006