Výsledky vyhledávání - "Erika Mináriková"

Akademický článek

Actionable Explainable AI (AxAI): A Practical Example with Aggregation Functions for Adaptive Classification and Textual Explanations for Interpretable Machine Learning

Autor: Anna Saranti, Miroslav Hudec, Erika Mináriková, Zdenko Takáč, Udo Großschedl, Christoph Koch, Bastian Pfeifer, Alessa Angerschmid, Andreas Holzinger

Publikováno v: Machine Learning and Knowledge Extraction, Vol 4, Iss 4, Pp 924-953 (2022)

In many domains of our daily life (e.g., agriculture, forestry, health, etc.), both laymen and experts need to classify entities into two binary classes (yes/no, good/bad, sufficient/insufficient, benign/malign, etc.). For many entities, this decisio

Externí odkaz: https://doaj.org/article/ec0de37f48924e4c8364acae29f28630

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Criteria for Fuzzy Rule-Based Systems and Its Applicability on Examples

Autor: Erika Mináriková

Publikováno v: EDAMBA 2021 : COVID-19 Recovery: The Need for Speed : Conference Proceedings.

Classification allows us to handle the large amount of data that is available nowadays. In our work, we use the classification features to divide employees into the several classes and examine the differences between the classical and flexible classi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::283c5ce76a672e8dcf762eea54173edf
https://doi.org/10.53465/edamba.2021.9788022549301.327-337

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Aggregation Functions in Flexible Classification by Ordinal Sums

Autor: Miroslav Hudec, Erika Mináriková, Radko Mesiar

Publikováno v: Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783031089701

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4df220e0a34cbac1010d70200531e77f
https://doi.org/10.1007/978-3-031-08971-8_31

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Classification by ordinal sums of conjunctive and disjunctive functions for explainable AI and interpretable machine learning solutions

Autor: Radko Mesiar, Miroslav Hudec, Anna Saranti, Andreas Holzinger, Erika Mináriková

Publikováno v: Knowledge-Based Systems. 220:106916

We propose a novel classification according to aggregation functions of mixed behaviour by variability in ordinal sums of conjunctive and disjunctive functions. Consequently, domain experts are empowered to assign only the most important observations

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cf18161bb693e773a731275eef9b1cb3
https://doi.org/10.1016/j.knosys.2021.106916

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