Adam Kiersztyn

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 42

Top Topics

Analytic Hierarchy Process

Choquet Integral

Face Recognition

Information Granules

Top Venues

Publications

Adam Kiersztyn, Dorota Pylak, Michal Horodelski, Krystyna Kiersztyn, Pavel Urbanovich
Random clustering-based outlier detector. Inf. Sci. 667 (2024)
Adam Kiersztyn, Dariusz Czerwinski, Pawel Karczmarek, Michal Dolecki, Marek Milosz
Modelling the Level of Sunlight by Using Fuzzy Sets. FUZZ (2023)
Adam Kiersztyn, Krystyna Kiersztyn, Grzegorz Panasiewicz, Martyna Bieniek-Kobuszewska
An Application of Fuzzy Techniques to Predict the Polymorphism of Selected Microsatellite Sequences. ICAISC (2) (2023)
Adam Kiersztyn, Krystyna Kiersztyn, Michal Dolecki
The Concept of a City Bike Network Management System Using Fuzzy Sets. FUZZ (2023)
Pawel Karczmarek, Lukasz Galka, Adam Kiersztyn, Michal Dolecki, Krystyna Kiersztyn, Witold Pedrycz
Choquet Integral-Based Aggregation for the Analysis of Anomalies Occurrence in Sustainable Transportation Systems. IEEE Trans. Fuzzy Syst. 31 (2) (2023)
Katarzyna Kaczmarek-Majer, Adam Kiersztyn
Experimental evaluation of the accuracy of an ensemble of fuzzy methods for classification of episodes in bipolar disorder. FUZZ-IEEE (2022)
Adam Kiersztyn, Krystyna Kiersztyn
The Impact of Data Preprocessing on Prediction Effectiveness. ICAISC (1) (2022)
Krystyna Kiersztyn, Adam Kiersztyn
Fuzzy Rule-based Outlier Detector. FUZZ-IEEE (2022)
Adam Kiersztyn, Jakub Bis, Ewa Bojar, Matylda Bojar, Anna Zelazna
Classification of Companies Based on Fuzzy Levels of Innovation. FUZZ-IEEE (2022)
Adam Kiersztyn, Krystyna Kiersztyn, Rafal Lopucki, Patrycja Jedrzejewska-Rzezak
An Application of Information Granules to Detect Anomalies in COVID-19 Reports. ICAISC (1) (2022)
Pawel Karczmarek, Lukasz Galka, Michal Dolecki, Witold Pedrycz, Dariusz Czerwinski, Adam Kiersztyn, Rafal Stegierski
Enhanced Tree-Based Anomaly Detection. FUZZ-IEEE (2022)
Adam Kiersztyn, Pawel Karczmarek, Krystyna Kiersztyn, Witold Pedrycz
Detection and Classification of Anomalies in Large Datasets on the Basis of Information Granules. IEEE Trans. Fuzzy Syst. 30 (8) (2022)
Adam Kiersztyn, Krystyna Kiersztyn
Fuzzy Modification of Analytic Hierarchy Process Using GUI Tools. FUZZ-IEEE (2022)
Adam Kiersztyn, Krystyna Kiersztyn, Martyna Bieniek-Kobuszewska, Grzegorz Panasiewicz
Analysis of the Homozygosity of Microsatellite Markers by Using Fuzzy Sets. FUZZ-IEEE (2022)
Adam Kiersztyn, Pawel Karczmarek, Krystyna Kiersztyn, Rafal Lopucki, Stanislaw M. Grzegórski, Witold Pedrycz
The Concept of Granular Representation of the Information Potential of Variables. FUZZ-IEEE (2021)
Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Marcin Badurowicz, Dariusz Czerwinski, Jerzy Montusiewicz
K-Medoids Clustering and Fuzzy Sets for Isolation Forest. FUZZ-IEEE (2021)
Adam Kiersztyn, Krystyna Kiersztyn, Pawel Karczmarek, Marek Kaminski, Ignacy Kitowski, Adam Zbyryt, Rafal Lopucki, Grzegorz Pitucha, Witold Pedrycz
Classification of Complex Ecological Objects with the Use of Information Granules. FUZZ-IEEE (2021)
Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Dariusz Czerwinski
Fuzzy C-Means-based Isolation Forest. Appl. Soft Comput. 106 (2021)
Adam Kiersztyn, Rafal Lopucki, Krystyna Kiersztyn, Pawel Karczmarek, Pawel Powroznik, Dariusz Czerwinski, Witold Pedrycz
A Comprehensive Analysis of the Impact of Selecting the Training Set Elements on the Correctness of Classification for Highly Variable Ecological Data. FUZZ-IEEE (2021)
Dariusz Czerwinski, Magdalena Czerwinska, Pawel Karczmarek, Adam Kiersztyn
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. FUZZ-IEEE (2021)
Dariusz Czerwinski, Adam Kiersztyn, Rafal Lopucki, Pawel Karczmarek, Ignacy Kitowski, Adam Zbyryt
An Application of Fuzzy C-Means, Fuzzy Cognitive Maps, and Fuzzy Rules to Forecasting First Arrival Date of Avian Spring Migrants. FUZZ-IEEE (2020)
Adam Kiersztyn, Pawel Karczmarek, Rafal Lopucki, Witold Pedrycz, Ebru Al, Ignacy Kitowski, Adam Zbyryt
Data Imputation in Related Time Series Using Fuzzy Set-Based Techniques. FUZZ-IEEE (2020)
Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Ebru Al
K-Means-based isolation forest. Knowl. Based Syst. 195 (2020)
Pawel Karczmarek, Witold Pedrycz, Dariusz Czerwinski, Adam Kiersztyn
The Assessment of Importance of Selected Issues of Software Engineering, IT Project Management, and Programming Paradigms Based on Graphical AHP and Fuzzy C-Means. FUZZ-IEEE (2020)
Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz
n-ary Isolation Forest: An Experimental Comparative Analysis. ICAISC (2) (2020)
Adam Kiersztyn, Pawel Karczmarek, Krystyna Kiersztyn, Witold Pedrycz
The Concept of Detecting and Classifying Anomalies in Large Data Sets on a Basis of Information Granules. FUZZ-IEEE (2020)
Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz
Fuzzy Set-Based Isolation Forest. FUZZ-IEEE (2020)
Adam Kiersztyn, Pawel Karczmarek
Fuzzy Approach for Detection of Anomalies in Time Series. ICAISC (2) (2019)
Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz
Generalizations of Aggregation Functions for Face Recognition. ICAISC (2) (2019)
Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz
Generalized Choquet Integral for Face Recognition. Int. J. Fuzzy Syst. 20 (3) (2018)
Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Michal Dolecki
Linguistic Descriptors in Face Recognition. Int. J. Fuzzy Syst. 20 (8) (2018)
Adam Kiersztyn, Pawel Karczmarek, Khrystyna Zhadkovska, Witold Pedrycz
Determination of a Matrix of the Dependencies Between Features Based on the Expert Knowledge. ICAISC (2) (2018)
Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz
An Application of Graphic Tools and Analytic Hierarchy Process to the Description of Biometric Features. ICAISC (2) (2018)
Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz
On Some Aspects of an Aggregation Mechanism in Face Recognition Problems. ICAISC (2) (2018)
Adam Kiersztyn, Pawel Karczmarek, Witold Pedrycz
Multi-level Aggregation in Face Recognition. ICAISC (1) (2018)
Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz
An Evaluation of Fuzzy Measure for Face Recognition. ICAISC (1) (2017)
Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Michal Dolecki
An application of chain code-based local descriptor and its extension to face recognition. Pattern Recognit. 65 (2017)
Pawel Karczmarek, Witold Pedrycz, Adam Kiersztyn, Przemyslaw Rutka
A study in facial features saliency in face recognition: an analytic hierarchy process approach. Soft Comput. 21 (24) (2017)
Adam Kiersztyn, Pawel Karczmarek, Michal Dolecki, Witold Pedrycz
Linguistic descriptors and fuzzy sets in face recognition realized by humans. FUZZ-IEEE (2016)
Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Michal Dolecki
Linguistic Descriptors and Analytic Hierarchy Process in Face Recognition Realized by Humans. ICAISC (1) (2016)
Michal Dolecki, Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz
Face recognition by humans performed on basis of linguistic descriptors and neural networks. IJCNN (2016)
Michal Dolecki, Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz
Utility functions as aggregation functions in face recognition. SSCI (2016)
Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Przemyslaw Rutka
Chain Code-Based Local Descriptor for Face Recognition. CORES (2015)
Pawel Karczmarek, Adam Kiersztyn, Przemyslaw Rutka, Witold Pedrycz
Linguistic descriptors in face recognition: A literature survey and the perspectives of future development. SPA (2015)