Applicability of Ordinal Sums of Conjunctive and Disjunctive Functions in Classification. - Miroslav Hudec; Radko Mesiar; Erika Mináriková (IFSA/EUSFLAT/AGOP, 2021)

Classification by ordinal sums of conjunctive and disjunctive functions for explainable AI and interpretable machine learning solutions. - Miroslav Hudec; Erika Mináriková; Radko Mesiar; Anna Saranti; Andreas Holzinger (Knowl. Based Syst., 2021)

Estimating linguistic summaries on the unit interval data. - Miroslav Hudec; Erika Mináriková; Daniel Schwarz; Jan Fivaz (FUZZ-IEEE, 2022)

Aggregation Functions in Flexible Classification by Ordinal Sums. - Miroslav Hudec; Erika Mináriková; Radko Mesiar (IPMU (1), 2022)

Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning. - Anna Saranti; Miroslav Hudec; Erika Mináriková; Zdenko Takác; Udo Großschedl; Christoph Koch 006; Bastian Pfeifer; Alessa Angerschmid; Andreas Holzinger (Mach. Learn. Knowl. Extr., 2022)

On an Edge Detector Based on Ordinal Sums of Conjunctive and Disjunctive Aggregation Functions. - Marc Munar; Miroslav Hudec; Sebastia Massanet; Erika Mináriková; Daniel Ruiz-Aguilera (EUSFLAT/AGOP, 2023)

The synergy of Linear Regression, Fuzzy Functional Dependencies and Linguistic Summaries: A Case of Heat Islands in Bratislava. - Erika Mináriková; Miljan Vucetic; Miroslav Hudec (ICAT, 2023)

Business Intelligence Reporting by Linguistic Summaries for Smart Cities: A Case on Explaining Bicycle Sharing Patterns. - Erika Mináriková; Galena Pisoni; Bálint Molnár; Hanna Kristín Skaftadottir (ICEIS (2), 2024)