| Detection and classification of anomalies in large datasets on the basis of information granules A Kiersztyn, P Karczmarek, K Kiersztyn, W Pedrycz IEEE Transactions on Fuzzy Systems 30 (8), 2850-2860, 2021 | 27 | 2021 |
| The Concept of Detecting and Classifying Anomalies in Large Data Sets on a Basis of Information Granules A Kiersztyn, P Karczmarek, K Kiersztyn, W Pedrycz 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2020 | 21 | 2020 |
| Choquet integral-based aggregation for the analysis of anomalies occurrence in sustainable transportation systems P Karczmarek, Ł Gałka, A Kiersztyn, M Dolecki, K Kiersztyn, W Pedrycz IEEE Transactions on Fuzzy Systems 31 (2), 536-546, 2022 | 7 | 2022 |
| A comprehensive analysis of the impact of selecting the training set elements on the correctness of classification for highly variable ecological data A Kiersztyn, R Lopucki, K Kiersztyn, P Karczmarek, P Powroźnik, ... 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2021 | 7 | 2021 |
| The use of information granules to detect anomalies in spatial behavior of animals A Kiersztyn, P Karczmarek, R Łopucki, K Kiersztyn, T Nowicki, ... Ecological Indicators 136, 108583, 2022 | 6 | 2022 |
| The concept of granular representation of the information potential of variables A Kiersztyn, P Karczmarek, K Kiersztyn, R Łopucki, S Grzegórski, ... 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2021 | 6 | 2021 |
| Intuitively adaptable outlier detector K Kiersztyn Statistical Analysis and Data Mining: The ASA Data Science Journal, 1 - 17, 2021 | 5 | 2021 |
| Fuzzy rule-based outlier detector K Kiersztyn, A Kiersztyn 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-7, 2022 | 3 | 2022 |
| Classification of complex ecological objects with the use of information granules A Kiersztyn, K Kiersztyn, P Karczmarek, M Kamiński, I Kitowski, A Zbyryt, ... 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2021 | 3 | 2021 |
| Fuzzy modification of analytic hierarchy process using GUI tools A Kiersztyn, K Kiersztyn 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2022 | 1 | 2022 |
| Random clustering-based outlier detector A Kiersztyn, D Pylak, M Horodelski, K Kiersztyn, P Urbanovich Information Sciences 667, 120498, 2024 | | 2024 |
| APPLICATION OF ASSOCIATION RULES IN FILLING GAPS IN SURVEY DATA. A RZEPKA, A KIERSZTYN, R MIŚKIEWICZ, K KIERSZTYN Scientific Papers of Silesian University of Technology. Organization …, 2023 | | 2023 |
| The Concept of a City Bike Network Management System Using Fuzzy Sets A Kiersztyn, K Kiersztyn, M Dolecki 2023 IEEE International Conference on Fuzzy Systems (FUZZ), 1-6, 2023 | | 2023 |
| An Application of Fuzzy Techniques to Predict the Polymorphism of Selected Microsatellite Sequences A Kiersztyn, K Kiersztyn, G Panasiewicz, M Bieniek-Kobuszewska International Conference on Artificial Intelligence and Soft Computing, 123-133, 2023 | | 2023 |
| Analysis of the Homozygosity of Microsatellite Markers by Using Fuzzy Sets A Kiersztyn, K Kiersztyn, M Bieniek-Kobuszewska, G Panasiewicz 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-5, 2022 | | 2022 |
| The Impact of Data Preprocessing on Prediction Effectiveness A Kiersztyn, K Kiersztyn International Conference on Artificial Intelligence and Soft Computing, 353-362, 2022 | | 2022 |
| An Application of Information Granules to Detect Anomalies in COVID-19 Reports A Kiersztyn, K Kiersztyn, R Łopucki, P Jedrzejewska-Rzezak International Conference on Artificial Intelligence and Soft Computing, 182-192, 2022 | | 2022 |
| Analysis of self-awareness of beginning programmers A Kiersztyn, K Kiersztyn, P Jędrzejewska-Rzezak, P Karczmarek, ... Information Systems and Data Mining, 153, 0 | | |
Adam KiersztynLublin University of TechnologyZweryfikowany adres z pollub.pl
