Adam Kiersztyn

According to our database, Adam Kiersztyn authored at least 45 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Random clustering-based outlier detector.

Adam Kiersztyn, Dorota Pylak, Michal Horodelski, Krystyna Kiersztyn, Pavel Urbanovich

Inf. Sci., 2024

Human Behavior Analysis Using Radar Data: A Survey.

Patrycja Miazek, Alicja Zmudzinska, Pawel Karczmarek, Adam Kiersztyn

IEEE Access, 2024

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., February, 2023

An Application of Fuzzy Techniques to Predict the Polymorphism of Selected Microsatellite Sequences.

Adam Kiersztyn, Krystyna Kiersztyn, Grzegorz Panasiewicz, Martyna Bieniek-Kobuszewska

Proceedings of the Artificial Intelligence and Soft Computing, 2023

The Concept of a City Bike Network Management System Using Fuzzy Sets.

Adam Kiersztyn, Krystyna Kiersztyn, Michal Dolecki

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

Modelling the Level of Sunlight by Using Fuzzy Sets.

Adam Kiersztyn, Dariusz Czerwinski, Pawel Karczmarek, Michal Dolecki, Marek Milosz

Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

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

An Application of Information Granules to Detect Anomalies in COVID-19 Reports.

Adam Kiersztyn, Krystyna Kiersztyn, Rafal Lopucki, Patrycja Jedrzejewska-Rzezak

Proceedings of the Artificial Intelligence and Soft Computing, 2022

The Impact of Data Preprocessing on Prediction Effectiveness.

Adam Kiersztyn, Krystyna Kiersztyn

Proceedings of the Artificial Intelligence and Soft Computing, 2022

Analysis of the Homozygosity of Microsatellite Markers by Using Fuzzy Sets.

Adam Kiersztyn, Krystyna Kiersztyn, Martyna Bieniek-Kobuszewska, Grzegorz Panasiewicz

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Fuzzy Modification of Analytic Hierarchy Process Using GUI Tools.

Adam Kiersztyn, Krystyna Kiersztyn

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Fuzzy Rule-based Outlier Detector.

Krystyna Kiersztyn, Adam Kiersztyn

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Classification of Companies Based on Fuzzy Levels of Innovation.

Adam Kiersztyn, Jakub Bis, Ewa Bojar, Matylda Bojar, Anna Zelazna

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Enhanced Tree-Based Anomaly Detection.

Pawel Karczmarek, Lukasz Galka, Michal Dolecki, Witold Pedrycz, Dariusz Czerwinski, Adam Kiersztyn, Rafal Stegierski

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Experimental evaluation of the accuracy of an ensemble of fuzzy methods for classification of episodes in bipolar disorder.

Katarzyna Kaczmarek-Majer, Adam Kiersztyn

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Fuzzy C-Means-based Isolation Forest.

Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Dariusz Czerwinski

Appl. Soft Comput., 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

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 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

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 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

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

K-Medoids Clustering and Fuzzy Sets for Isolation Forest.

Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Marcin Badurowicz, Dariusz Czerwinski, Jerzy Montusiewicz

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

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

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

2020

K-Means-based isolation forest.

Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Ebru Al

Knowl. Based Syst., 2020

n-ary Isolation Forest: An Experimental Comparative Analysis.

Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz

Proceedings of the Artificial Intelligence and Soft Computing, 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

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 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

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 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

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Fuzzy Set-Based Isolation Forest.

Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

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

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

Fuzzy Approach for Detection of Anomalies in Time Series.

Adam Kiersztyn, Pawel Karczmarek

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Generalizations of Aggregation Functions for Face Recognition.

Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz

Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018

Linguistic Descriptors in Face Recognition.

Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Michal Dolecki

Int. J. Fuzzy Syst., 2018

Generalized Choquet Integral for Face Recognition.

Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz

Int. J. Fuzzy Syst., 2018

Determination of a Matrix of the Dependencies Between Features Based on the Expert Knowledge.

Adam Kiersztyn, Pawel Karczmarek, Khrystyna Zhadkovska, Witold Pedrycz

Proceedings of the Artificial Intelligence and Soft Computing, 2018

Multi-level Aggregation in Face Recognition.

Adam Kiersztyn, Pawel Karczmarek, Witold Pedrycz

Proceedings of the Artificial Intelligence and Soft Computing, 2018

On Some Aspects of an Aggregation Mechanism in Face Recognition Problems.

Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz

Proceedings of the Artificial Intelligence and Soft Computing, 2018

An Application of Graphic Tools and Analytic Hierarchy Process to the Description of Biometric Features.

Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz

Proceedings of the Artificial Intelligence and Soft Computing, 2018

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 chain code-based local descriptor and its extension to face recognition.

Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Michal Dolecki

Pattern Recognit., 2017

An Evaluation of Fuzzy Measure for Face Recognition.

Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz

Proceedings of the Artificial Intelligence and Soft Computing, 2017

2016

Utility functions as aggregation functions in face recognition.

Michal Dolecki, Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Face recognition by humans performed on basis of linguistic descriptors and neural networks.

Michal Dolecki, Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Linguistic Descriptors and Analytic Hierarchy Process in Face Recognition Realized by Humans.

Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Michal Dolecki

Proceedings of the Artificial Intelligence and Soft Computing, 2016

Linguistic descriptors and fuzzy sets in face recognition realized by humans.

Adam Kiersztyn, Pawel Karczmarek, Michal Dolecki, Witold Pedrycz

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

Linguistic descriptors in face recognition: A literature survey and the perspectives of future development.

Pawel Karczmarek, Adam Kiersztyn, Przemyslaw Rutka, Witold Pedrycz

Proceedings of the Signal Processing: Algorithms, 2015

Chain Code-Based Local Descriptor for Face Recognition.

Pawel Karczmarek, Adam Kiersztyn, Witold Pedrycz, Przemyslaw Rutka

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015