The Concept of Detecting and Classifying Anomalies in Large Data Sets on a Basis of Information Granules. - Adam Kiersztyn; Pawel Karczmarek; Krystyna Kiersztyn; Witold Pedrycz (FUZZ-IEEE, 2020)

Classification of Complex Ecological Objects with the Use of Information Granules. - Adam Kiersztyn; Krystyna Kiersztyn; Pawel Karczmarek; Marek Kaminski; Ignacy Kitowski; Adam Zbyryt; Rafal Lopucki; Grzegorz Pitucha; Witold Pedrycz (FUZZ-IEEE, 2021)

The Concept of Granular Representation of the Information Potential of Variables. - Adam Kiersztyn; Pawel Karczmarek; Krystyna Kiersztyn; Rafal Lopucki; Stanislaw M. Grzegórski; Witold Pedrycz (FUZZ-IEEE, 2021)

A Comprehensive Analysis of the Impact of Selecting the Training Set Elements on the Correctness of Classification for Highly Variable Ecological Data. - Adam Kiersztyn; Rafal Lopucki; Krystyna Kiersztyn; Pawel Karczmarek; Pawel Powroznik; Dariusz Czerwinski; Witold Pedrycz (FUZZ-IEEE, 2021)

Fuzzy Rule-based Outlier Detector. - Krystyna Kiersztyn; Adam Kiersztyn (FUZZ-IEEE, 2022)

Fuzzy Modification of Analytic Hierarchy Process Using GUI Tools. - Adam Kiersztyn; Krystyna Kiersztyn (FUZZ-IEEE, 2022)

Analysis of the Homozygosity of Microsatellite Markers by Using Fuzzy Sets. - Adam Kiersztyn; Krystyna Kiersztyn; Martyna Bieniek-Kobuszewska; Grzegorz Panasiewicz (FUZZ-IEEE, 2022)

The Impact of Data Preprocessing on Prediction Effectiveness. - Adam Kiersztyn; Krystyna Kiersztyn (ICAISC (1), 2022)

An Application of Information Granules to Detect Anomalies in COVID-19 Reports. - Adam Kiersztyn; Krystyna Kiersztyn; Rafal Lopucki; Patrycja Jedrzejewska-Rzezak (ICAISC (1), 2022)

Intuitively adaptable outlier detector. - Krystyna Kiersztyn (Stat. Anal. Data Min., 2022)

Detection and Classification of Anomalies in Large Datasets on the Basis of Information Granules. - Adam Kiersztyn; Pawel Karczmarek; Krystyna Kiersztyn; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2022)

The Concept of a City Bike Network Management System Using Fuzzy Sets. - Adam Kiersztyn; Krystyna Kiersztyn; Michal Dolecki (FUZZ, 2023)

An Application of Fuzzy Techniques to Predict the Polymorphism of Selected Microsatellite Sequences. - Adam Kiersztyn; Krystyna Kiersztyn; Grzegorz Panasiewicz; Martyna Bieniek-Kobuszewska (ICAISC (2), 2023)

Choquet Integral-Based Aggregation for the Analysis of Anomalies Occurrence in Sustainable Transportation Systems. - Pawel Karczmarek; Lukasz Galka; Adam Kiersztyn; Michal Dolecki; Krystyna Kiersztyn; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2023)

The Use of Fuzzy Sets in the Classification of Metagenomic Data. - Adam Kiersztyn; Krystyna Kiersztyn; Rafal Lopucki; Patrycja Jedrzejewska-Rzezak; Ewa Sajnaga (ICAISC (3), 2024)

Random clustering-based outlier detector. - Adam Kiersztyn; Dorota Pylak; Michal Horodelski; Krystyna Kiersztyn; Pavel Urbanovich (Inf. Sci., 2024)

Novel Evaluation Techniques for Outlier Detection Methods: A Case Study With RCOD. - Adam Kiersztyn; Krystyna Kiersztyn; Michal Horodelski; Dorota Pylak (IEEE Access, 2025)

Money Cannot Buy Happiness: Emotions in the IT Industry. - Adam Kiersztyn; Lukasz Galka; Krystyna Wojciechowska; Krystyna Kiersztyn; Agnieszka Rzepka; Kamil Jonak; Pawel Karczmarek (IEEE Trans. Fuzzy Syst., 2025)