Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Caro Fuchs"'
Autor:
Krzysztof Dyczkowski, Piotr Grochowalski, Dawid Kosior, Dorota Gil, Wojciech Kozioł, Barbara Pękala, Uzay Kaymak, Caro Fuchs, Marco S. Nobile
Publikováno v:
SoftwareX, Vol 26, Iss , Pp 101730- (2024)
Uncertainty is an essential feature of many concepts, data sets, and operations encountered in various applications related to computer science and engineering, and medical diagnostics. This paper introduces an extension to the Simpful library, enhan
Externí odkaz:
https://doaj.org/article/8ae3df138585491baaae119007678505
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S2, Pp 1-17 (2021)
Abstract Background Tremor severity assessment is an important step for the diagnosis and treatment decision-making of essential tremor (ET) patients. Traditionally, tremor severity is assessed by using questionnaires (e.g., ETRS and QUEST surveys).
Externí odkaz:
https://doaj.org/article/169308312abf4f70b6123bad5d34fc02
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 13, Iss 1 (2020)
Many researchers have used fuzzy set theory and fuzzy logic in a variety of applications related to computer science and engineering, given the capability of fuzzy inference systems to deal with uncertainty, represent vague concepts, and connect huma
Externí odkaz:
https://doaj.org/article/f52a1bcc701d460e9b5ac32042d2e102
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0210743 (2019)
Emergency care in elderly patients has gained attention by researchers due to high utilization rate and the importance of emergency services in elderly care. We examine if there is a clear age threshold between young and old patients at which there i
Externí odkaz:
https://doaj.org/article/bbc13b199085425d94fc2c3a2c73b747
Publikováno v:
2022 IEEE International Conference on Fuzzy Systems, FUZZ 2022-Proceedings
Nowadays, the growing amounts of collected data enable the training of machine learning models that can be used to extract insights from the data and make better-informed decisions. Among the possible models that can be learned from data are fuzzy ru
Autor:
Chiara Gallese, Caro Fuchs, Simone G. Riva, Emanuela Foglia, Fabrizio Schettini, Lucrezia Ferrario, Elena Falletti, Marco S. Nobile
Publikováno v:
2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022
In this paper we propose a fuzzy logic-based approach to analyze UK National Health Service (NHS) public administrative data related to pre-and post-pandemic claims filed by patients, analyzing the legal and ethical issues connected to the use of Art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0feae70acff4c0ccde4d986cc17694e
https://research.tue.nl/en/publications/dd984266-d2b6-438d-bc07-fae3fbdee229
https://research.tue.nl/en/publications/dd984266-d2b6-438d-bc07-fae3fbdee229
Autor:
Mohsen Abbaspour Onari, Marco S. Nobile, Isel Grau, Caro Fuchs, Yingqian Zhang, Arjen-Kars Boer, Volkher Scharnhorst
Publikováno v:
2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022, 1-8
STARTPAGE=1;ENDPAGE=8;TITLE=2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022
STARTPAGE=1;ENDPAGE=8;TITLE=2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022
Machine Learning (ML) models play an important role in healthcare thanks to their remarkable performance in predicting complex phenomena. During the COVID-19 pandemic, different ML models were implemented to support decisions in the medical settings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd1c3d1139919d308ebb0721d59d221a
https://hdl.handle.net/10278/5007341
https://hdl.handle.net/10278/5007341
Publikováno v:
2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
Data transformation is an important step in Machine Learning pipelines which can strongly improve their performance. For instance, min-max normalization is often used to make all variables lie in the same range, while log-transformation is used to ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d8aeb2bc323a1972bc2e0426df981e3
http://hdl.handle.net/10278/5003620
http://hdl.handle.net/10278/5003620
Autor:
Uzay Kaymak, Caro Fuchs, Marco S. Nobile, Guillaume Zamora, Aurélie Degeneffe, Pieter L. Kubben
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, 22:57. BioMed Central Ltd
BMC bioinformatics, 22
BMC Bioinformatics, Vol 22, Iss S2, Pp 1-17 (2021)
BMC Bioinformatics, 22(Suppl 2):57. BioMed Central
BMC Bioinformatics, 22:57. BioMed Central Ltd
BMC bioinformatics, 22
BMC Bioinformatics, Vol 22, Iss S2, Pp 1-17 (2021)
BMC Bioinformatics, 22(Suppl 2):57. BioMed Central
Background: Tremor severity assessment is an important step for the diagnosis and treatment decision-making of essential tremor (ET) patients. Traditionally, tremor severity is assessed by using questionnaires (e.g. ETRS and QUEST surveys). In this w
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 13, Iss 1 (2020)
International Journal of Computational Intelligence Systems, 13(1), 1687-1698. Atlantis Press
International Journal of Computational Intelligence Systems, 13(1), 1687-1698. Atlantis Press
Many researchers have used fuzzy set theory and fuzzy logic in a variety of applications related to computer science and engineering, given the capability of fuzzy inference systems to deal with uncertainty, represent vague concepts, and connect huma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1ec502e2fd7c8448fc0df946cda79cb
http://hdl.handle.net/10278/5004791
http://hdl.handle.net/10278/5004791