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. - Wojciech Lason; Piotr Walecki; Paulina Andryszak; Krzysztof Wlodarczyk; Slawomir Biedrzycki; Marcin Ziolkowski; Milosz Kadzinski; Edward Jacek Gorzelanczyk (Bio Algorithms Med Syst., 2010)

Studying the impact of a single dose of methadone on the ability of psychomotor function in opioid-addicted individuals on methadone maintenance. - Krzysztof Wlodarczyk; Paulina Andryszak; Wojciech Lason; Piotr Walecki; Milosz Kadzinski; Marcin Ziolkowski; Slawomir Biedrzycki; Edward Jacek Gorzelanczyk (Bio Algorithms Med Syst., 2010)

Selection of a representative value function in robust multiple criteria sorting. - Salvatore Greco; Milosz Kadzinski; Roman Slowinski (Comput. Oper. Res., 2011)

ELECTREGKMS: Robust ordinal regression for outranking methods. - Salvatore Greco; Milosz Kadzinski; Vincent Mousseau; Roman Slowinski (Eur. J. Oper. Res., 2011)

Selection of a representative set of parameters for robust ordinal regression outranking methods. - Milosz Kadzinski; Salvatore Greco; Roman Slowinski (Comput. Oper. Res., 2012)

Robust ordinal regression for multiple criteria group decision: UTAGMS-GROUP and UTADISGMS-GROUP. - Salvatore Greco; Milosz Kadzinski; Vincent Mousseau; Roman Slowinski (Decis. Support Syst., 2012)

Selection of a representative value function in robust multiple criteria ranking and choice. - Milosz Kadzinski; Salvatore Greco; Roman Slowinski (Eur. J. Oper. Res., 2012)

Interactive Robust Cone Contraction Method for Multiple Objective Optimization Problems. - Milosz Kadzinski; Roman Slowinski (Int. J. Inf. Technol. Decis. Mak., 2012)

Stochastic ordinal regression for multiple criteria sorting problems. - Milosz Kadzinski; Tommi Tervonen (Decis. Support Syst., 2013)

Robust multi-criteria ranking with additive value models and holistic pair-wise preference statements. - Milosz Kadzinski; Tommi Tervonen (Eur. J. Oper. Res., 2013)

DIS-CARD: a new method of multiple criteria sorting to classes with desired cardinality. - Milosz Kadzinski; Roman Slowinski (J. Glob. Optim., 2013)

Robust ordinal regression in preference learning and ranking. - Salvatore Corrente; Salvatore Greco; Milosz Kadzinski; Roman Slowinski (Mach. Learn., 2013)

Robust Ordinal Regression for Dominance-Based Rough Set Approach under Uncertainty. - Roman W. Slowinski; Milosz Kadzinski; Salvatore Greco (RSEISP, 2014)

Robust Ordinal Regression for Dominance-based Rough Set Approach to multiple criteria sorting. - Milosz Kadzinski; Salvatore Greco; Roman Slowinski (Inf. Sci., 2014)

Preferential reducts and constructs in robust multiple criteria ranking and sorting. - Milosz Kadzinski; Salvatore Corrente; Salvatore Greco; Roman Slowinski (OR Spectr., 2014)

Using Ordinal Regression for Interactive Evolutionary Multiple Objective Optimization with Multiple Decision Makers. - Milosz Kadzinski; Michal Tomczyk (GDN, 2015)

Parametric evaluation of research units with respect to reference profiles. - Milosz Kadzinski; Roman Slowinski (Decis. Support Syst., 2015)

Modeling assignment-based pairwise comparisons within integrated framework for value-driven multiple criteria sorting. - Milosz Kadzinski; Krzysztof Ciomek; Roman Slowinski (Eur. J. Oper. Res., 2015)

Multiple criteria ranking and choice with all compatible minimal cover sets of decision rules. - Milosz Kadzinski; Roman Slowinski; Salvatore Greco (Knowl. Based Syst., 2015)

Scoring procedures for multiple criteria decision aiding with robust and stochastic ordinal regression. - Milosz Kadzinski; Marcin Michalski (Comput. Oper. Res., 2016)

Integrated framework for preference modeling and robustness analysis for outranking-based multiple criteria sorting with ELECTRE and PROMETHEE. - Milosz Kadzinski; Krzysztof Ciomek (Inf. Sci., 2016)

Robustness analysis for decision under uncertainty with rule-based preference model. - Milosz Kadzinski; Roman Slowinski; Salvatore Greco (Inf. Sci., 2016)

Post factum analysis for robust multiple criteria ranking and sorting. - Milosz Kadzinski; Krzysztof Ciomek; Pawel Rychly; Roman Slowinski (J. Glob. Optim., 2016)

Inducing probability distributions on the set of value functions by Subjective Stochastic Ordinal Regression. - Salvatore Corrente; Salvatore Greco; Milosz Kadzinski; Roman Slowinski (Knowl. Based Syst., 2016)

Dominance-Based Rough Set Approach to Multiple Criteria Ranking with Sorting-Specific Preference Information. - Milosz Kadzinski; Roman Slowinski; Marcin Szelag (Challenges in Computational Statistics and Data Mining, 2016)

Expressiveness and robustness measures for the evaluation of an additive value function in multiple criteria preference disaggregation methods: An experimental analysis. - Milosz Kadzinski; Mohammad Ghaderi; Jakub Wasikowski; Núria Agell (Comput. Oper. Res., 2017)

Heuristics for selecting pair-wise elicitation questions in multiple criteria choice problems. - Krzysztof Ciomek; Milosz Kadzinski; Tommi Tervonen (Eur. J. Oper. Res., 2017)

Interactive Cone Contraction for Evolutionary Mutliple Objective Optimization. - Milosz Kadzinski; Michal K. Tomczyk; Roman Slowinski (Advances in Data Analysis with Computational Intelligence Methods, 2018)

Predictive analytics and disused railways requalification: Insights from a Post Factum Analysis perspective. - Krzysztof Ciomek; Valentina Ferretti 001; Milosz Kadzinski (Decis. Support Syst., 2018)

Feature cluster: Learning perspectives in Multiple Criteria Decision Analysis. - Salvatore Greco; Milosz Kadzinski (Eur. J. Oper. Res., 2018)

Co-constructive development of a green chemistry-based model for the assessment of nanoparticles synthesis. - Milosz Kadzinski; Marco Cinelli; Krzysztof Ciomek; Stuart R. Coles; Mallikarjuna N. Nadagouda; Rajender S. Varma; Kerry Kirwan (Eur. J. Oper. Res., 2018)

Robust indicator-based algorithm for interactive evolutionary multiple objective optimization. - Michal K. Tomczyk; Milosz Kadzinski (GECCO, 2019)

EMOSOR: Evolutionary multiple objective optimization guided by interactive stochastic ordinal regression. - Michal K. Tomczyk; Milosz Kadzinski (Comput. Oper. Res., 2019)

Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria. - Jiapeng Liu; Xiuwu Liao; Milosz Kadzinski; Roman Slowinski (Eur. J. Oper. Res., 2019)

On the elicitation of indirect preferences in interactive evolutionary multiple objective optimization. - Michal K. Tomczyk; Milosz Kadzinski (GECCO, 2020)

Contingent preference disaggregation model for multiple criteria sorting problem. - Milosz Kadzinski; Mohammad Ghaderi; Maciej Dabrowski (Eur. J. Oper. Res., 2020)

A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples. - Jiapeng Liu; Milosz Kadzinski; Xiuwu Liao; Xiaoxin Mao; Yao Wang 003 (Eur. J. Oper. Res., 2020)

Using a segmenting description approach in multiple criteria decision aiding. - Milosz Kadzinski; Jan Badura; José Rui Figueira (Expert Syst. Appl., 2020)

Preference disaggregation for multiple criteria sorting with partial monotonicity constraints: Application to exposure management of nanomaterials. - Milosz Kadzinski; Krzysztof Martyn; Marco Cinelli; Roman Slowinski; Salvatore Corrente; Salvatore Greco (Int. J. Approx. Reason., 2020)

Preference-based cone contraction algorithms for interactive evolutionary multiple objective optimization. - Milosz Kadzinski; Michal K. Tomczyk; Roman Slowinski (Swarm Evol. Comput., 2020)

Decomposition-Based Interactive Evolutionary Algorithm for Multiple Objective Optimization. - Michal K. Tomczyk; Milosz Kadzinski (IEEE Trans. Evol. Comput., 2020)

Interactive evolutionary multiple objective optimization algorithm using a fast calculation of holistic acceptabilities. - Michal K. Tomczyk; Milosz Kadzinski (GECCO, 2021)

Enriched preference modeling and robustness analysis for the ELECTRE Tri-B method. - Milosz Kadzinski; Magdalena Martyn (Ann. Oper. Res., 2021)

Active learning strategies for interactive elicitation of assignment examples for threshold-based multiple criteria sorting. - Milosz Kadzinski; Krzysztof Ciomek (Eur. J. Oper. Res., 2021)

Experimental comparison of results provided by ranking methods in Data Envelopment Analysis. - Anna Labijak-Kowalska; Milosz Kadzinski (Expert Syst. Appl., 2021)

Data-Driven Preference Learning Methods for Value-Driven Multiple Criteria Sorting with Interacting Criteria. - Jiapeng Liu; Milosz Kadzinski; Xiuwu Liao; Xiaoxin Mao (INFORMS J. Comput., 2021)

Heuristic algorithms for aggregation of incomplete rankings in multiple criteria group decision making. - Grzegorz Miebs; Milosz Kadzinski (Inf. Sci., 2021)

Decomposition-based co-evolutionary algorithm for interactive multiple objective optimization. - Michal K. Tomczyk; Milosz Kadzinski (Inf. Sci., 2021)

Preference disaggregation method for value-based multi-decision sorting problems with a real-world application in nanotechnology. - Milosz Kadzinski; Krzysztof Martyn; Marco Cinelli; Roman Slowinski; Salvatore Corrente; Salvatore Greco (Knowl. Based Syst., 2021)

Embedding carbon impact assessment in multi-criteria supplier segmentation using ELECTRE TRI-rC. - Jafar Rezaei 001; Milosz Kadzinski; Chrysoula Vana; Lori Tavasszy (Ann. Oper. Res., 2022)

Learning the parameters of an outranking-based sorting model with characteristic class profiles from large sets of assignment examples. - Milosz Kadzinski; Adam Szczepanski (Appl. Soft Comput., 2022)

Proper and improper uses of MCDA methods in energy systems analysis. - Marco Cinelli; Peter Burgherr; Milosz Kadzinski; Roman Slowinski (Decis. Support Syst., 2022)

Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system. - Marco Cinelli; Milosz Kadzinski; Grzegorz Miebs; Michael Gonzalez 001; Roman Slowinski (Eur. J. Oper. Res., 2022)

Bayesian ordinal regression for multiple criteria choice and ranking. - Zice Ru; Jiapeng Liu; Milosz Kadzinski; Xiuwu Liao (Eur. J. Oper. Res., 2022)

Interactive co-evolutionary multiple objective optimization algorithms for finding consensus solutions for a group of Decision Makers. - Michal K. Tomczyk; Milosz Kadzinski (Inf. Sci., 2022)

Metaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examples. - Adam Handke; Damian Józwiak; Piotr Kaminski; Michal Wisniewski; Milosz Kadzinski (GECCO Companion, 2023)

Co-evolution improves the efficiency of preference learning methods when the Decision Maker's aspirations develop over time. - Michal Tomczyk; Milosz Kadzinski (GECCO, 2023)

Deep preference learning for multiple criteria decision analysis. - Krzysztof Martyn; Milosz Kadzinski (Eur. J. Oper. Res., 2023)

Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach. - Jiapeng Liu; Milosz Kadzinski; Xiuwu Liao (INFORMS J. Comput., 2023)

Performance evaluation of emergency department physicians using robust value-based additive efficiency model. - Anna Labijak-Kowalska; Milosz Kadzinski; Inga Spychala; Luis C. Dias; Javier Fiallos; Jonathan Patrick; Wojtek Michalowski; Ken Farion (Int. Trans. Oper. Res., 2023)

Exact and stochastic methods for robustness analysis in the context of Imprecise Data Envelopment Analysis. - Anna Labijak-Kowalska; Milosz Kadzinski (Oper. Res., 2023)

Selection of a representative sorting model in a preference disaggregation setting: A review of existing procedures, new proposals, and experimental comparison. - Michal Wójcik; Milosz Kadzinski; Krzysztof Ciomek (Knowl. Based Syst., 2023)

Preface to the Special Issue on Decision Support: Combining Technology and Algorithms to Solve Complex Problems. - Milosz Kadzinski; Rudolf Vetschera; Pascale Zaraté (Int. Trans. Oper. Res., 2023)

Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences. - Zice Ru; Jiapeng Liu; Milosz Kadzinski; Xiuwu Liao (Eur. J. Oper. Res., 2023)

Interactive tool for visualizing the comprehensive performance of evolutionary multi-objective algorithms applied to problems with two or three objectives. - Michal Tomczyk; Milosz Kadzinski (GECCO Companion, 2024)

Nature-inspired Preference Learning Algorithms Using the Choquet Integral. - Michal Wójcik; Milosz Kadzinski (GECCO, 2024)

Evolutionary algorithms for solving single- and multiple-objective political redistricting problems: The case study of Poland. - Michal K. Tomczyk; Milosz Kadzinski (Appl. Soft Comput., 2024)

Attaining robust performance targets in data envelopment analysis with application to efficiency evaluation of airports. - Dariusz Grynia; Milosz Kadzinski; Mladen Stamenkovic (Comput. Ind. Eng., 2024)

Outranking-based approaches for multiple criteria partially ordered clustering: A review of existing algorithms, new proposals, and experimental comparison. - Dariusz Grynia; Klaudia Dobrogojska; Milosz Kadzinski (Inf. Sci., 2024)

robustDEA: A Java library for robust efficiency analysis. - Anna Labijak-Kowalska; Milosz Kadzinski (SoftwareX, 2024)

Deep dive into RNA: a systematic literature review on RNA structure prediction using machine learning methods. - Michal Budnik; Jakub Wawrzyniak; Lukasz Grala; Milosz Kadzinski; Natalia Szostak (Artif. Intell. Rev., 2024)

Data-driven preference learning methods for sorting problems with multiple temporal criteria. - Yijun Li 005; Mengzhuo Guo; Milosz Kadzinski; Qingpeng Zhang; Chenxi Xu (Eur. J. Oper. Res., 2025)

A Bayesian network approach for dynamic behavior analysis: Real-time intention recognition. - Jiaxuan Jiang; Jiapeng Liu; Milosz Kadzinski; Xiuwu Liao (Inf. Fusion, 2025)

Preference Construction: A Bayesian Interactive Preference Elicitation Framework Based on Monte Carlo Tree Search. - Yan Wang; Jiapeng Liu; Milosz Kadzinski; Xiuwu Liao (CoRR, 2025)

Integrating Response Time and Attention Duration in Bayesian Preference Learning for Multiple Criteria Decision Aiding. - Jiaxuan Jiang; Jiapeng Liu; Milosz Kadzinski; Xiuwu Liao; Jingyu Dong (CoRR, 2025)