Loan Granting Knowledge System. - Boris Delibasic; Milija Suknovic (J. Decis. Syst., 2006)

A Pattern Based Data Mining Approach. - Boris Delibasic; Kathrin Kirchner; Johannes Ruhland (GfKl, 2007)

Reusable components for partitioning clustering algorithms. - Boris Delibasic; Kathrin Kirchner; Johannes Ruhland; Milos Jovanovic 002; Milan Vukicevic (Artif. Intell. Rev., 2009)

Internal Evaluation Measures as Proxies for External Indices in Clustering Gene Expression Data. - Milan Vukicevic; Boris Delibasic; Milos Jovanovic 002; Milija Suknovic; Zoran Obradovic (BIBM, 2011)

Component-based decision trees for classification. - Boris Delibasic; Milos Jovanovic 002; Milan Vukicevic; Milija Suknovic; Zoran Obradovic (Intell. Data Anal., 2011)

A method for design of data-tailored partitioning algorithms for optimizing the number of clusters in microarray analysis. - Milan Vukicevic; Boris Delibasic; Milos Jovanovic 002; Milija Suknovic; Zoran Obradovic (CIBCB, 2012)

Towards a DGSS Prototype for Early Warning for Ski Injuries. - Boris Delibasic; Zoran Obradovic (ICDE Workshops, 2012)

How Do Various Categorical Similarity Measures Influence the CBR Credit Scoring Model? - Sanja Vukovic; Boris Delibasic; Milija Suknovic (ICDM (Workshops), 2012)

Reusable components in decision tree induction algorithms. - Milija Suknovic; Boris Delibasic; Milos Jovanovic 002; Milan Vukicevic; Dragana Becejski-Vujaklija; Zoran Obradovic (Comput. Stat., 2012)

An architecture for component-based design of representative-based clustering algorithms. - Boris Delibasic; Milan Vukicevic; Milos Jovanovic 002; Kathrin Kirchner; Johannes Ruhland; Milija Suknovic (Data Knowl. Eng., 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)

Reusable Component-Based Architecture for Decision Tree Algorithm Design. - Milan Vukicevic; Milos Jovanovic 002; Boris Delibasic; Sonja Isljamovic; Milija Suknovic (Int. J. Artif. Intell. Tools, 2012)

Finding best algorithmic components for clustering microarray data. - Milan Vukicevic; Kathrin Kirchner; Boris Delibasic; Milos Jovanovic 002; Johannes Ruhland; Milija Suknovic (Knowl. Inf. Syst., 2013)

White-Box or Black-Box Decision Tree Algorithms: Which to Use in Education? - Boris Delibasic; Milan Vukicevic; Milos Jovanovic 002; Milija Suknovic (IEEE Trans. Educ., 2013)

Supplier Selection Using Interpolative Boolean Algebra and Logic Aggregation. - Ksenija Mandic; Boris Delibasic (IPMU (2), 2014)

Evolutionary approach for automated component-based decision tree algorithm design. - Milos Jovanovic 002; Boris Delibasic; Milan Vukicevic; Milija Suknovic; Milan Martic (Intell. Data Anal., 2014)

Data-Mining and Expert Models for Predicting Injury Risk in Ski Resorts. - Marko Bohanec; Boris Delibasic (ICDSST, 2015)

Modeling Interactions Among Criteria in MCDM Methods: A Review. - Ksenija Mandic; Vjekoslav Bobar; Boris Delibasic (ICDSST, 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)

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)

Facilitating data preprocessing by a generic framework: a proposal for clustering. - Kathrin Kirchner; Jelena Zec; Boris Delibasic (Artif. Intell. Rev., 2016)

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)

A Skiing Trace Clustering Model for Injury Risk Assessment. - Milan Dobrota; Boris Delibasic; Pavlos Delias (Int. J. Decis. Support Syst. Technol., 2016)

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

Sustainable knowledge-based decision support systems (DSS): perspectives, new challenges and recent advance. - Shaofeng Liu 001; Boris Delibasic; Lynne Butel; Xue Han (Ind. Manag. Data Syst., 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)

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)

Two Sides of Collective Decision Making - Votes from Crowd and Knowledge from Experts. - Zorica A. Dodevska; Ana Kovacevic; Milan Vukicevic; Boris Delibasic (ICDSST, 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)

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 001; Mirjana Ivanovic; Ivan Lukovic; Boris Delibasic; Jelica Protic; Dragan Jankovic (Comput. Sci. Inf. Syst., 2021)

Fair classification via Monte Carlo policy gradient method. - Andrija Petrovic; Mladen Nikolic; Milos Jovanovic 002; Milos Bijanic; Boris Delibasic (Eng. Appl. Artif. Intell., 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)

A machine learning approach for learning temporal point process. - Andrija Petrovic; Aleksa Bisercic; Boris Delibasic; Dimitrije Milenkovic (Comput. Sci. Inf. Syst., 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)

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)

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)

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)

Gaussian conditional random fields for classification. - Andrija Petrovic; Mladen Nikolic; Milos Jovanovic 002; Boris Delibasic (Expert Syst. Appl., 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)

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., 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)

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)

PISRuleGrowth: mining periodic intra-sequential rules common to multiple sequences. - Nevena Milenkovic; Boris Delibasic (Knowl. Inf. Syst., 2025)