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Krystyna Kiersztyn

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2020 – today

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2024
[j4]
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Adam Kiersztyn, Dorota Pylak, Michal Horodelski, Krystyna Kiersztyn, Pavel Urbanovich:
Random clustering-based outlier detector. Inf. Sci. 667: 120498 (2024)
2023
[j3]
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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): 536-546 (2023)
[c11]
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Adam Kiersztyn, Krystyna Kiersztyn, Michal Dolecki:
The Concept of a City Bike Network Management System Using Fuzzy Sets. FUZZ 2023: 1-6
[c10]
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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: 123-133
2022
[j2]
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Krystyna Kiersztyn:
Intuitively adaptable outlier detector. Stat. Anal. Data Min. 15(4): 463-479 (2022)
[j1]
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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): 2850-2860 (2022)
[c9]
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Krystyna Kiersztyn, Adam Kiersztyn:
Fuzzy Rule-based Outlier Detector. FUZZ-IEEE 2022: 1-7
[c8]
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Adam Kiersztyn, Krystyna Kiersztyn:
Fuzzy Modification of Analytic Hierarchy Process Using GUI Tools. FUZZ-IEEE 2022: 1-6
[c7]
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Adam Kiersztyn, Krystyna Kiersztyn, Martyna Bieniek-Kobuszewska, Grzegorz Panasiewicz:
Analysis of the Homozygosity of Microsatellite Markers by Using Fuzzy Sets. FUZZ-IEEE 2022: 1-5
[c6]
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Adam Kiersztyn, Krystyna Kiersztyn, Rafal Lopucki, Patrycja Jedrzejewska-Rzezak:
An Application of Information Granules to Detect Anomalies in COVID-19 Reports. ICAISC (1) 2022: 182-192
[c5]
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Adam Kiersztyn, Krystyna Kiersztyn:
The Impact of Data Preprocessing on Prediction Effectiveness. ICAISC (1) 2022: 353-362
2021
[c4]
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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: 1-6
[c3]
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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: 1-6
[c2]
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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: 1-6
2020
[c1]
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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: 1-7

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