Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Jakub Klikowski"'
Autor:
Jakub Klikowski
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1c79743e442b53a7263a5420dab07be
https://doi.org/10.1109/ijcnn55064.2022.9892399
https://doi.org/10.1109/ijcnn55064.2022.9892399
Autor:
Jakub Klikowski, Robert Burduk
Publikováno v:
Progress in Image Processing, Pattern Recognition and Communication Systems ISBN: 9783030815226
CORES/IP&C/ACS
CORES/IP&C/ACS
One of the current challenges for the supervised classification methods is to obtain acceptable values of the performance measures for an imbalanced dataset. There is a significant disproportion in the number of objects from different class labels in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f52201ca4afc06d8fb9fa79e51eb7582
https://doi.org/10.1007/978-3-030-81523-3_3
https://doi.org/10.1007/978-3-030-81523-3_3
Autor:
Michal Wozniak, Jakub Klikowski
Publikováno v:
Applied Soft Computing. 122:108855
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a506aa17e732897d785bee71679ec12c
https://doi.org/10.1016/j.asoc.2022.108855
https://doi.org/10.1016/j.asoc.2022.108855
The imbalanced data classification remains a vital problem. The key is to find such methods that classify both the minority and majority class correctly. The paper presents the classifier ensemble for classifying binary, non-stationary and imbalanced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4048155327d7c95fb533f9002d134e5
Autor:
Michał Woźniak, Jakub Klikowski
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030504229
ICCS (4)
ICCS (4)
The classification of imbalanced data streams is gaining more and more interest. However, apart from the problem that one of the class is not well represented, there are problems typical for data stream classification, such as limited resources, lack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33e00b2c8abefc0b8db74f12b07c6489
https://doi.org/10.1007/978-3-030-50423-6_9
https://doi.org/10.1007/978-3-030-50423-6_9
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030438869
PKDD/ECML Workshops (2)
PKDD/ECML Workshops (2)
Imbalanced data streams have gained significant popularity among the researchers in recent years. This area of research is not only still greatly underdeveloped, but there are also numerous inherent difficulties that need to be addressed when creatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b811933a5992d7820d5bb1cff90cd5d8
https://doi.org/10.1007/978-3-030-43887-6_33
https://doi.org/10.1007/978-3-030-43887-6_33
Autor:
Jakub Klikowski, Michał Woźniak
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030197377
CORES
CORES
The classification of data streams is a frequently considered problem. The data coming in over time has a tendency to change its characteristics over time and usually we also encounter some difficulties in data distributions as inequality of the numb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd170c86d739a86abd04c2f9f439469d
https://doi.org/10.1007/978-3-030-19738-4_36
https://doi.org/10.1007/978-3-030-19738-4_36
Publikováno v:
Intelligent Data Engineering and Automated Learning – IDEAL 2019 ISBN: 9783030336165
IDEAL (2)
IDEAL (2)
Imbalanced data classification is still a focus of intense research, due to its ever-growing presence in the real-life decision tasks. In this article, we focus on a classifier ensemble for imbalanced data classification. The ensemble is formed on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9631160bbda591ec75f5c4f4dd712c8d
https://doi.org/10.1007/978-3-030-33617-2_35
https://doi.org/10.1007/978-3-030-33617-2_35
Autor:
Martyna Poslednik, Andrzej Kasprzak, Iwona Pozniak-Koszalka, Jakub Klikowski, Lukasz Karnicki, Leszek Koszalka
Publikováno v:
Computational Collective Intelligence ISBN: 9783319984452
ICCCI (2)
ICCCI (2)
This paper concentrates on the algorithm based on simulated annealing approach. The algorithm was implemented for solving the formulated chess problem. The properties of the algorithm were analyzed taking into account the results of experiments made
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ef178b1faca55bb5b2e1b379f512b34
https://doi.org/10.1007/978-3-319-98446-9_3
https://doi.org/10.1007/978-3-319-98446-9_3
Autor:
Pablo García Bringas, Hilde Pérez García, Francisco Javier Martínez de Pisón, Francisco Martínez Álvarez, Alicia Troncoso Lora, Álvaro Herrero, José Luis Calvo Rolle, Héctor Quintián, Emilio Corchado
This book of Lecture Notes in Networks and Systems contains accepted papers presented at the 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) and the 14th International Conference on EU