Mining Association Rules with Respect to Support and Anti-support-Experimental Results. - Roman Slowinski; Izabela Szczech; Miroslaw Urbanowicz; Salvatore Greco (RSEISP, 2007)

Assessing the Quality of Rules with a New Monotonic Interestingness Measure Z. - Salvatore Greco; Roman Slowinski; Izabela Szczech (ICAISC, 2008)

Analysis of monotonicity properties of some rule interestingness measures. - Salvatore Greco; Roman Slowinski; Izabela Szczech (Control. Cybern., 2009)

Multicriteria Attractiveness Evaluation of Decision and Association Rules. - Izabela Szczech (Trans. Rough Sets, 2009)

Alternative Normalization Schemas for Bayesian Confirmation Measures. - Salvatore Greco; Roman Slowinski; Izabela Szczech (IPMU, 2010)

New property for rule interestingness measures. - Izabela Szczech; Salvatore Greco; Roman Slowinski (FedCSIS, 2011)

Analysis of Symmetry Properties for Bayesian Confirmation Measures. - Salvatore Greco; Roman Slowinski; Izabela Szczech (RSKT, 2012)

Properties of rule interestingness measures and alternative approaches to normalization of measures. - Salvatore Greco; Roman Slowinski; Izabela Szczech (Inf. Sci., 2012)

The Property of $ chi^2_{01}$ -Concordance for Bayesian Confirmation Measures. - Robert Susmaga; Izabela Szczech (MDAI, 2013)

Finding Meaningful Bayesian Confirmation Measures. - Salvatore Greco; Roman Slowinski; Izabela Szczech (Fundam. Informaticae, 2013)

Visual-Based Detection of Properties of Confirmation Measures. - Robert Susmaga; Izabela Szczech (ISMIS, 2014)

Can Interestingness Measures be Usefully Visualized? - Robert Susmaga; Izabela Szczech (Int. J. Appl. Math. Comput. Sci., 2015)

Bayesian Confirmation Measures in Rule-Based Classification. - Dariusz Brzezinski; Zbigniew Grudzinski; Izabela Szczech (NFMCP@PKDD/ECML, 2016)

Increasing the Interpretability of Rules Induced from Imbalanced Data by Using Bayesian Confirmation Measures. - Krystyna Napierala; Jerzy Stefanowski; Izabela Szczech (NFMCP@PKDD/ECML, 2016)

Measures of rule interestingness in various perspectives of confirmation. - Salvatore Greco; Roman Slowinski; Izabela Szczech (Inf. Sci., 2016)

Selected group-theoretic aspects of confirmation measure symmetries. - Robert Susmaga; Izabela Szczech (Inf. Sci., 2016)

Tetrahedron: Barycentric Measure Visualizer. - Dariusz Brzezinski; Jerzy Stefanowski; Robert Susmaga; Izabela Szczech (ECML/PKDD (3), 2017)

Visual-Based Analysis of Classification Measures with Applications to Imbalanced Data. - Dariusz Brzezinski; Jerzy Stefanowski; Robert Susmaga; Izabela Szczech (CoRR, 2017)

Visual-based analysis of classification measures and their properties for class imbalanced problems. - Dariusz Brzezinski; Jerzy Stefanowski; Robert Susmaga; Izabela Szczech (Inf. Sci., 2018)

On the Dynamics of Classification Measures for Imbalanced and Streaming Data. - Dariusz Brzezinski; Jerzy Stefanowski; Robert Susmaga; Izabela Szczech (IEEE Trans. Neural Networks Learn. Syst., 2020)

confidence-planner: Easy-to-Use Prediction Confidence Estimation and Sample Size Planning. - Antoni Klorek; Karol Roszak; Izabela Szczech; Dariusz Brzezinski (CoRR, 2023)

MSD-space: Visualizing the inner-workings of TOPSIS aggregations. - Robert Susmaga; Izabela Szczech; Piotr Zielniewicz; Dariusz Brzezinski (Eur. J. Oper. Res., 2023)

Towards explainable TOPSIS: Visual insights into the effects of weights and aggregations on rankings. - Robert Susmaga; Izabela Szczech; Dariusz Brzezinski (Appl. Soft Comput., 2024)

Properties of Fairness Measures in the Context of Varying Class Imbalance and Protected Group Ratios. - Dariusz Brzezinski; Julia Stachowiak; Jerzy Stefanowski; Izabela Szczech; Robert Susmaga; Sofya Aksenyuk; Uladzimir Ivashka; Oleksandr Yasinskyi (ACM Trans. Knowl. Discov. Data, 2024)

Utility Inspired Generalizations of TOPSIS. - Robert Susmaga; Izabela Szczech (CoRR, 2025)