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Krystyna Kiersztyn
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2020 – today
- 2024
- [j4]Adam Kiersztyn
, Dorota Pylak
, Michal Horodelski, Krystyna Kiersztyn
, Pavel Urbanovich
:
Random clustering-based outlier detector. Inf. Sci. 667: 120498 (2024) - 2023
- [j3]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]Adam Kiersztyn, Krystyna Kiersztyn, Michal Dolecki:
The Concept of a City Bike Network Management System Using Fuzzy Sets. FUZZ 2023: 1-6 - [c10]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]Krystyna Kiersztyn
:
Intuitively adaptable outlier detector. Stat. Anal. Data Min. 15(4): 463-479 (2022) - [j1]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]Krystyna Kiersztyn
, Adam Kiersztyn
:
Fuzzy Rule-based Outlier Detector. FUZZ-IEEE 2022: 1-7 - [c8]Adam Kiersztyn
, Krystyna Kiersztyn
:
Fuzzy Modification of Analytic Hierarchy Process Using GUI Tools. FUZZ-IEEE 2022: 1-6 - [c7]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]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]Adam Kiersztyn
, Krystyna Kiersztyn
:
The Impact of Data Preprocessing on Prediction Effectiveness. ICAISC (1) 2022: 353-362 - 2021
- [c4]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]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]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]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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last updated on 2024-06-03 01:00 CEST by the dblp team
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