Chain Code-Based Local Descriptor for Face Recognition. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz; Przemyslaw Rutka (CORES, 2015)

Linguistic descriptors in face recognition: A literature survey and the perspectives of future development. - Pawel Karczmarek; Adam Kiersztyn; Przemyslaw Rutka; Witold Pedrycz (SPA, 2015)

Linguistic descriptors and fuzzy sets in face recognition realized by humans. - Adam Kiersztyn; Pawel Karczmarek; Michal Dolecki; Witold Pedrycz (FUZZ-IEEE, 2016)

Linguistic Descriptors and Analytic Hierarchy Process in Face Recognition Realized by Humans. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz; Michal Dolecki (ICAISC (1), 2016)

Face recognition by humans performed on basis of linguistic descriptors and neural networks. - Michal Dolecki; Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz (IJCNN, 2016)

Utility functions as aggregation functions in face recognition. - Michal Dolecki; Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz (SSCI, 2016)

An Evaluation of Fuzzy Measure for Face Recognition. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz (ICAISC (1), 2017)

An application of chain code-based local descriptor and its extension to face recognition. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz; Michal Dolecki (Pattern Recognit., 2017)

A study in facial features saliency in face recognition: an analytic hierarchy process approach. - Pawel Karczmarek; Witold Pedrycz; Adam Kiersztyn; Przemyslaw Rutka (Soft Comput., 2017)

An Application of Graphic Tools and Analytic Hierarchy Process to the Description of Biometric Features. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz (ICAISC (2), 2018)

On Some Aspects of an Aggregation Mechanism in Face Recognition Problems. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz (ICAISC (2), 2018)

Multi-level Aggregation in Face Recognition. - Adam Kiersztyn; Pawel Karczmarek; Witold Pedrycz (ICAISC (1), 2018)

Determination of a Matrix of the Dependencies Between Features Based on the Expert Knowledge. - Adam Kiersztyn; Pawel Karczmarek; Khrystyna Zhadkovska; Witold Pedrycz (ICAISC (2), 2018)

Generalized Choquet Integral for Face Recognition. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz (Int. J. Fuzzy Syst., 2018)

Linguistic Descriptors in Face Recognition. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz; Michal Dolecki (Int. J. Fuzzy Syst., 2018)

Generalizations of Aggregation Functions for Face Recognition. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz (ICAISC (2), 2019)

Fuzzy Approach for Detection of Anomalies in Time Series. - Adam Kiersztyn; Pawel Karczmarek (ICAISC (2), 2019)

An Application of Fuzzy C-Means, Fuzzy Cognitive Maps, and Fuzzy Rules to Forecasting First Arrival Date of Avian Spring Migrants. - Dariusz Czerwinski; Adam Kiersztyn; Rafal Lopucki; Pawel Karczmarek; Ignacy Kitowski; Adam Zbyryt (FUZZ-IEEE, 2020)

Fuzzy Set-Based Isolation Forest. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz (FUZZ-IEEE, 2020)

The Assessment of Importance of Selected Issues of Software Engineering, IT Project Management, and Programming Paradigms Based on Graphical AHP and Fuzzy C-Means. - Pawel Karczmarek; Witold Pedrycz; Dariusz Czerwinski; Adam Kiersztyn (FUZZ-IEEE, 2020)

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)

Data Imputation in Related Time Series Using Fuzzy Set-Based Techniques. - Adam Kiersztyn; Pawel Karczmarek; Rafal Lopucki; Witold Pedrycz; Ebru Al; Ignacy Kitowski; Adam Zbyryt (FUZZ-IEEE, 2020)

n-ary Isolation Forest: An Experimental Comparative Analysis. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz (ICAISC (2), 2020)

K-Means-based isolation forest. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz; Ebru Al (Knowl. Based Syst., 2020)

Influence of the Fuzzy Robust Gamma Rank Correlation, Fuzzy C-Means, and Fuzzy Cognitive Maps to Predict the Z Generation's Acceptance Attitudes Towards Internet Health Information. - Dariusz Czerwinski; Magdalena Czerwinska; Pawel Karczmarek; Adam Kiersztyn (FUZZ-IEEE, 2021)

K-Medoids Clustering and Fuzzy Sets for Isolation Forest. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz; Marcin Badurowicz; Dariusz Czerwinski; Jerzy Montusiewicz (FUZZ-IEEE, 2021)

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 C-Means-based Isolation Forest. - Pawel Karczmarek; Adam Kiersztyn; Witold Pedrycz; Dariusz Czerwinski (Appl. Soft Comput., 2021)

Experimental evaluation of the accuracy of an ensemble of fuzzy methods for classification of episodes in bipolar disorder. - Katarzyna Kaczmarek-Majer; Adam Kiersztyn (FUZZ-IEEE, 2022)

Enhanced Tree-Based Anomaly Detection. - Pawel Karczmarek; Lukasz Galka; Michal Dolecki; Witold Pedrycz; Dariusz Czerwinski; Adam Kiersztyn; Rafal Stegierski (FUZZ-IEEE, 2022)

Classification of Companies Based on Fuzzy Levels of Innovation. - Adam Kiersztyn; Jakub Bis; Ewa Bojar; Matylda Bojar; Anna Zelazna (FUZZ-IEEE, 2022)

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)

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)

Modelling the Level of Sunlight by Using Fuzzy Sets. - Adam Kiersztyn; Dariusz Czerwinski; Pawel Karczmarek; Michal Dolecki; Marek Milosz (FUZZ, 2023)

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)

Smooth Quadrature-Inspired Generalized Choquet Integral in an Application to Drone Engine Failures Detection. - Pawel Karczmarek; Rafal Stegierski; Bartlomiej Ambrozkiewicz; Andrzej Koszewnik; Daniel Oldziej; Arkadiusz Syta; Michal Dolecki; Adam Kiersztyn; Albert Rachwal; Konrad Smolinski; Witold Pedrycz (ICAISC (1), 2024)

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)

Human Behavior Analysis Using Radar Data: A Survey. - Patrycja Miazek; Alicja Zmudzinska; Pawel Karczmarek; Adam Kiersztyn (IEEE Access, 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)

Automated Detection of Schizophrenia Based on Retinal Measures and Neurological Soft Signs: Applications of Interpretable Classification Methods and the Choquet Integral Aggregation Function. - Pawel Krukow; Steven M. Silverstein; Pawel Karczmarek; Adam Domagala; Adam Kiersztyn; Malgorzata Plechawska-Wójcik; María García Gadañón; Kamil Jonak (IEEE Access, 2025)

Data integrity vs. inference accuracy in large AIS datasets. - Adam Kiersztyn; Dariusz Czerwinski; Aneta Oniszczuk-Jastrzabek; Ernest Czermanski; Agnieszka Rzepka (CoRR, 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)