Milosz Kadzinski
Orcid: 0000-0003-1806-3715
According to our database1,
Milosz Kadzinski
authored at least 71 papers
between 2010 and 2024.
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Bibliography
2024
Deep dive into RNA: a systematic literature review on RNA structure prediction using machine learning methods.
Artif. Intell. Rev., September, 2024
Outranking-based approaches for multiple criteria partially ordered clustering: A review of existing algorithms, new proposals, and experimental comparison.
Inf. Sci., 2024
Attaining robust performance targets in data envelopment analysis with application to efficiency evaluation of airports.
Comput. Ind. Eng., 2024
Evolutionary algorithms for solving single- and multiple-objective political redistricting problems: The case study of Poland.
Appl. Soft Comput., 2024
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Interactive tool for visualizing the comprehensive performance of evolutionary multi-objective algorithms applied to problems with two or three objectives.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024
2023
Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences.
Eur. J. Oper. Res., December, 2023
Preface to the Special Issue on Decision Support: Combining Technology and Algorithms to Solve Complex Problems.
Int. Trans. Oper. Res., November, 2023
Selection of a representative sorting model in a preference disaggregation setting: A review of existing procedures, new proposals, and experimental comparison.
Knowl. Based Syst., October, 2023
Exact and stochastic methods for robustness analysis in the context of Imprecise Data Envelopment Analysis.
Oper. Res., March, 2023
Performance evaluation of emergency department physicians using robust value-based additive efficiency model.
Int. Trans. Oper. Res., 2023
Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach.
INFORMS J. Comput., 2023
Eur. J. Oper. Res., 2023
Co-evolution improves the efficiency of preference learning methods when the Decision Maker's aspirations develop over time.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Metaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examples.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
2022
Interactive co-evolutionary multiple objective optimization algorithms for finding consensus solutions for a group of Decision Makers.
Inf. Sci., 2022
Eur. J. Oper. Res., 2022
Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system.
Eur. J. Oper. Res., 2022
Decis. Support Syst., 2022
Learning the parameters of an outranking-based sorting model with characteristic class profiles from large sets of assignment examples.
Appl. Soft Comput., 2022
Embedding carbon impact assessment in multi-criteria supplier segmentation using ELECTRE TRI-rC.
Ann. Oper. Res., 2022
2021
Preference disaggregation method for value-based multi-decision sorting problems with a real-world application in nanotechnology.
Knowl. Based Syst., 2021
Decomposition-based co-evolutionary algorithm for interactive multiple objective optimization.
Inf. Sci., 2021
Heuristic algorithms for aggregation of incomplete rankings in multiple criteria group decision making.
Inf. Sci., 2021
Data-Driven Preference Learning Methods for Value-Driven Multiple Criteria Sorting with Interacting Criteria.
INFORMS J. Comput., 2021
Experimental comparison of results provided by ranking methods in Data Envelopment Analysis.
Expert Syst. Appl., 2021
Active learning strategies for interactive elicitation of assignment examples for threshold-based multiple criteria sorting.
Eur. J. Oper. Res., 2021
Ann. Oper. Res., 2021
Interactive evolutionary multiple objective optimization algorithm using a fast calculation of holistic acceptabilities.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
Decomposition-Based Interactive Evolutionary Algorithm for Multiple Objective Optimization.
IEEE Trans. Evol. Comput., 2020
Preference-based cone contraction algorithms for interactive evolutionary multiple objective optimization.
Swarm Evol. Comput., 2020
Preference disaggregation for multiple criteria sorting with partial monotonicity constraints: Application to exposure management of nanomaterials.
Int. J. Approx. Reason., 2020
Expert Syst. Appl., 2020
A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples.
Eur. J. Oper. Res., 2020
Eur. J. Oper. Res., 2020
On the elicitation of indirect preferences in interactive evolutionary multiple objective optimization.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
2019
Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria.
Eur. J. Oper. Res., 2019
EMOSOR: Evolutionary multiple objective optimization guided by interactive stochastic ordinal regression.
Comput. Oper. Res., 2019
Robust indicator-based algorithm for interactive evolutionary multiple objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
2018
Co-constructive development of a green chemistry-based model for the assessment of nanoparticles synthesis.
Eur. J. Oper. Res., 2018
Eur. J. Oper. Res., 2018
Predictive analytics and disused railways requalification: Insights from a Post Factum Analysis perspective.
Decis. Support Syst., 2018
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018
2017
Heuristics for selecting pair-wise elicitation questions in multiple criteria choice problems.
Eur. J. Oper. Res., 2017
Expressiveness and robustness measures for the evaluation of an additive value function in multiple criteria preference disaggregation methods: An experimental analysis.
Comput. Oper. Res., 2017
2016
Dominance-Based Rough Set Approach to Multiple Criteria Ranking with Sorting-Specific Preference Information.
Proceedings of the Challenges in Computational Statistics and Data Mining, 2016
Inducing probability distributions on the set of value functions by Subjective Stochastic Ordinal Regression.
Knowl. Based Syst., 2016
J. Glob. Optim., 2016
Inf. Sci., 2016
Integrated framework for preference modeling and robustness analysis for outranking-based multiple criteria sorting with ELECTRE and PROMETHEE.
Inf. Sci., 2016
Scoring procedures for multiple criteria decision aiding with robust and stochastic ordinal regression.
Comput. Oper. Res., 2016
2015
Multiple criteria ranking and choice with all compatible minimal cover sets of decision rules.
Knowl. Based Syst., 2015
Modeling assignment-based pairwise comparisons within integrated framework for value-driven multiple criteria sorting.
Eur. J. Oper. Res., 2015
Decis. Support Syst., 2015
Using Ordinal Regression for Interactive Evolutionary Multiple Objective Optimization with Multiple Decision Makers.
Proceedings of the Outlooks and Insights on Group Decision and Negotiation, 2015
2014
OR Spectr., 2014
Robust Ordinal Regression for Dominance-based Rough Set Approach to multiple criteria sorting.
Inf. Sci., 2014
Proceedings of the Rough Sets and Intelligent Systems Paradigms, 2014
2013
DIS-CARD: a new method of multiple criteria sorting to classes with desired cardinality.
J. Glob. Optim., 2013
Robust multi-criteria ranking with additive value models and holistic pair-wise preference statements.
Eur. J. Oper. Res., 2013
Decis. Support Syst., 2013
2012
Interactive Robust Cone Contraction Method for Multiple Objective Optimization Problems.
Int. J. Inf. Technol. Decis. Mak., 2012
Selection of a representative value function in robust multiple criteria ranking and choice.
Eur. J. Oper. Res., 2012
Robust ordinal regression for multiple criteria group decision: UTA<sup>GMS</sup>-GROUP and UTADIS<sup>GMS</sup>-GROUP.
Decis. Support Syst., 2012
Selection of a representative set of parameters for robust ordinal regression outranking methods.
Comput. Oper. Res., 2012
2011
Eur. J. Oper. Res., 2011
Comput. Oper. Res., 2011
2010
Studying the impact of a single dose of methadone on the ability of psychomotor function in opioid-addicted individuals on methadone maintenance.
Bio Algorithms Med Syst., 2010
Usage of the graphics tablet to study of impact of a single dose of methadone on the ability of psychographomotor function in opioid-addicted individuals on methadone maintenance.
Bio Algorithms Med Syst., 2010