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Adam Kiersztyn
Adam Kiersztyn
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Tytuł
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Cytowane przez
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K-means-based isolation forest
P Karczmarek, A Kiersztyn, W Pedrycz, E Al
Knowledge-based systems 195, 105659, 2020
1222020
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
772017
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
452017
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
442015
Generalized Choquet integral for face recognition
P Karczmarek, A Kiersztyn, W Pedrycz
International Journal of Fuzzy Systems 20, 1047-1055, 2018
392018
Fuzzy c-means-based isolation forest
P Karczmarek, A Kiersztyn, W Pedrycz, D Czerwiński
Applied Soft Computing 106, 107354, 2021
362021
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
312021
Changes in the social behavior of urban animals: more aggression or tolerance?
R Łopucki, D Klich, A Kiersztyn
Mammalian Biology 101, 1-10, 2021
292021
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
272021
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
222020
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
212020
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
212020
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
182015
Fuzzy analytic hierarchy process in a graphical approach
P Karczmarek, W Pedrycz, A Kiersztyn
Group Decision and Negotiation 30, 463-481, 2021
172021
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
152016
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
142017
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
142017
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
132019
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
122020
Face recognition by humans performed on basis of linguistic descriptors and neural networks
M Dolecki, P Karczmarek, A Kiersztyn, W Pedrycz
2016 International Joint Conference on Neural Networks (IJCNN), 5135-5140, 2016
122016
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