Boris Delibasic

Orcid: 0000-0002-6153-5119

According to our database1, Boris Delibasic authored at least 56 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • 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

Controlling highway toll stations using deep learning, queuing theory, and differential evolution.
Eng. Appl. Artif. Intell., March, 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

Gaussian conditional random fields for classification.
Expert Syst. Appl., 2023

CERN for AGI: A Theoretical Framework for Autonomous Simulation-Based Artificial Intelligence Testing and Alignment.
CoRR, 2023

Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces.
CoRR, 2023

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

A machine learning approach for learning temporal point process.
Comput. Sci. Inf. Syst., 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
Fair classification via Monte Carlo policy gradient method.
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.
Comput. Sci. Inf. Syst., 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

Two Sides of Collective Decision Making - Votes from Crowd and Knowledge from Experts.
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.
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
Mining Skier Transportation Patterns From Ski Resort Lift Usage Data.
IEEE Trans. Hum. Mach. Syst., 2017

Sustainable knowledge-based decision support systems (DSS): perspectives, new challenges and recent advance.
Ind. Manag. Data Syst., 2017

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

2016
A Skiing Trace Clustering Model for Injury Risk Assessment.
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.
Int. J. Data Min. Bioinform., 2016

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

Facilitating data preprocessing by a generic framework: a proposal for clustering.
Artif. Intell. Rev., 2016

2015
An Application of the Integrated IBA-TOPSIS Model in Supplier Selection.
Int. J. Decis. Support Syst. Technol., 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

Modeling Interactions Among Criteria in MCDM Methods: A Review.
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.
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.
Intell. Data Anal., 2014

Supplier Selection Using Interpolative Boolean Algebra and Logic Aggregation.
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?
IEEE Trans. Educ., 2013

Finding best algorithmic components for clustering microarray data.
Knowl. Inf. Syst., 2013

2012
Reusable Component-Based Architecture for Decision Tree Algorithm Design.
Int. J. Artif. Intell. Tools, 2012

A case-based reasoning model that uses preference theory functions for credit scoring.
Expert Syst. Appl., 2012

An architecture for component-based design of representative-based clustering algorithms.
Data Knowl. Eng., 2012

Reusable components in decision tree induction algorithms.
Comput. Stat., 2012

How Do Various Categorical Similarity Measures Influence the CBR Credit Scoring Model?
Proceedings of the Advances in Data Mining, 12th Industrial Conference, 2012

Towards a DGSS Prototype for Early Warning for Ski Injuries.
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.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

2011
Component-based decision trees for classification.
Intell. Data Anal., 2011

Internal Evaluation Measures as Proxies for External Indices in Clustering Gene Expression Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2009
Reusable components for partitioning clustering algorithms.
Artif. Intell. Rev., 2009

2007
A Pattern Based Data Mining Approach.
Proceedings of the Data Analysis, Machine Learning and Applications, 2007

2006
Loan Granting Knowledge System.
J. Decis. Syst., 2006


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