| K-means-based isolation forest P Karczmarek, A Kiersztyn, W Pedrycz, E Al Knowledge-based systems 195, 105659, 2020 | 153 | 2020 |
| An application of chain code-based local descriptor and its extension to face recognition P Karczmarek, A Kiersztyn, W Pedrycz, M Dolecki Pattern Recognition 65, 26-34, 2017 | 81 | 2017 |
| A study in facial features saliency in face recognition: an analytic hierarchy process approach P Karczmarek, W Pedrycz, A Kiersztyn, P Rutka Soft Computing 21, 7503-7517, 2017 | 50 | 2017 |
| Urban green space conservation and management based on biodiversity of terrestrial fauna–a decision support tool R Łopucki, A Kiersztyn Urban Forestry & Urban Greening 14 (3), 508-518, 2015 | 47 | 2015 |
| Fuzzy c-means-based isolation forest P Karczmarek, A Kiersztyn, W Pedrycz, D Czerwiński Applied Soft Computing 106, 107354, 2021 | 44 | 2021 |
| Generalized Choquet integral for face recognition P Karczmarek, A Kiersztyn, W Pedrycz International Journal of Fuzzy Systems 20, 1047-1055, 2018 | 42 | 2018 |
| K-medoids clustering and fuzzy sets for isolation forest P Karczmarek, A Kiersztyn, W Pedrycz, M Badurowicz, D Czerwiński, ... 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2021 | 38 | 2021 |
| Changes in the social behavior of urban animals: more aggression or tolerance? R Łopucki, D Klich, A Kiersztyn Mammalian Biology 101, 1-10, 2021 | 38 | 2021 |
| 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 | 34 | 2021 |
| The city changes the daily activity of urban adapters: Camera-traps study of Apodemus agrarius behaviour and new approaches to data analysis R Łopucki, A Kiersztyn Ecological Indicators 110, 105957, 2020 | 30 | 2020 |
| Urban size effect on biodiversity: The need for a conceptual framework for the implementation of urban policy for small cities R Łopucki, D Klich, I Kitowski, A Kiersztyn Cities 98, 102590, 2020 | 30 | 2020 |
| Fuzzy analytic hierarchy process in a graphical approach P Karczmarek, W Pedrycz, A Kiersztyn Group Decision and Negotiation 30, 463-481, 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 | 26 | 2020 |
| Handling missing data in ecological studies: Ignoring gaps in the dataset can distort the inference R Łopucki, A Kiersztyn, G Pitucha, I Kitowski Ecological Modelling 468, 109964, 2022 | 23 | 2022 |
| Linguistic descriptors in face recognition: a literature survey and the perspectives of future development P Karczmarek, A Kiersztyn, P Rutka, W Pedrycz 2015 Signal Processing: Algorithms, Architectures, Arrangements, and …, 2015 | 18 | 2015 |
| Utility functions as aggregation functions in face recognition M Dolecki, P Karczmarek, A Kiersztyn, W Pedrycz 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2016 | 16 | 2016 |
| Data imputation in related time series using fuzzy set-based techniques A Kiersztyn, P Karczmarek, R Łopucki, W Pedrycz, E Al, I Kitowski, ... 2020 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-8, 2020 | 15 | 2020 |
| A comprehensive experimental comparison of the aggregation techniques for face recognition P Karczmarek, W Pedrycz, A Kiersztyn, M Dolecki Iranian Journal of Fuzzy Systems 16 (4), 1-19, 2019 | 14 | 2019 |
| An evaluation of fuzzy measure for face recognition P Karczmarek, A Kiersztyn, W Pedrycz International Conference on Artificial Intelligence and Soft Computing, 668-676, 2017 | 14 | 2017 |
| On developing Sugeno fuzzy measure densities in problems of face recognition P Karczmarek, A Kiersztyn, W Pedrycz International Journal of Machine Intelligence and Sensory Signal Processing …, 2017 | 14 | 2017 |
Paweł KarczmarekLublin University of TechnologyΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα pollub.pl
