Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Alicja, Gosiewska"'
Publikováno v:
Sensors, Vol 23, Iss 18, p 7776 (2023)
Railway infrastructure monitoring is crucial for transportation reliability and travelers’ safety. However, it requires plenty of human resources that generate high costs and is limited to the efficiency of the human eye. Integrating machine learni
Externí odkaz:
https://doaj.org/article/0f963784f5154438b1fd206872c6908e
Autor:
Jacek Sokołowski, Adam Orłowski, Magdalena Lachowska, Alicja Gosiewska, Przemyslaw Biecek, Robert Bartoszewicz, Kazimierz Niemczyk
Publikováno v:
Otolaryngologia Polska. 77:1-5
Objective: In tympanoplasty, surgical reconstruction of the tympanic membrane and ossicular chain is well-established; however, its hearing results still require improvement. Custom 3D printing of individualized ossicular prostheses seems to be an at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8adbcb6e78d1dca41409a6f4251b2d3
https://doi.org/10.5604/01.3001.0016.2703
https://doi.org/10.5604/01.3001.0016.2703
Publikováno v:
Nature Machine Intelligence. 4:792-800
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b678e7b9be00c83e4d78c0984ccd4ba
https://doi.org/10.1038/s42256-022-00531-2
https://doi.org/10.1038/s42256-022-00531-2
Publikováno v:
Journal of the Operational Research Society. 73:70-90
A major requirement for credit scoring models is to provide a maximally accurate risk prediction. Additionally, regulators demand these models to be transparent and auditable. Thus, in credit scori...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e31abc74a2e3d3f73a4d00a29035a8d8
https://doi.org/10.1080/01605682.2021.1922098
https://doi.org/10.1080/01605682.2021.1922098
Autor:
Piotr, Rola, Adrian, Włodarczak, Magdalena, Łanocha, Mateusz, Barycki, Marek, Szudrowicz, Jan J, Kulczycki, Joanna, Jaroszewska-Pozorska, Alicja, Gosiewska, Katarzyna, Woźnica, Maciej, Lesiak, Adrian, Doroszko
Publikováno v:
Cardiology Journal.
Acute coronary syndrome (ACS) as a clinical manifestation of coronary artery disease (CAD) remains a significant cause of mortality and morbidity, as reported worldwide annually. The second generation of drug-eluting stents (DES) is a gold standard i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::089cdcc2e44f0b3b5a74de8d94b02a52
https://doi.org/10.5603/cj.a2022.0047
https://doi.org/10.5603/cj.a2022.0047
Autor:
Mateusz Barycki, Maciej Lesiak, Adrian Wlodarczak, Marek Szudrowicz, Jan Jakub Kulczycki, Adrian Doroszko, Magdalena Łanocha, Alicja Gosiewska, Piotr Rola, Karol Turkiewicz
Publikováno v:
Journal of Clinical Medicine, Vol 10, Iss 3768, p 3768 (2021)
Journal of Clinical Medicine
Volume 10
Issue 17
Journal of Clinical Medicine
Volume 10
Issue 17
Background: Despite the developments in percutaneous coronary interventions (PCI), women are still more likely than men to have unfavorable outcomes after PCI performed in Acute Coronary Syndrome (ACS). The mechanisms of this phenomena are not fully
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcd3fc6480a402b2bb931c507452d986
https://www.mdpi.com/2077-0383/10/17/3768
https://www.mdpi.com/2077-0383/10/17/3768
Autor:
Adrian Wlodarczak, Jan Jakub Kulczycki, Mateusz Barycki, Marek Szudrowicz, Maciej Lesiak, Adrian Doroszko, Magdalena Łanocha, Alicja Gosiewska, Piotr Rola
Publikováno v:
Journal of Clinical Medicine
Journal of Clinical Medicine, Vol 10, Iss 3166, p 3166 (2021)
Volume 10
Issue 14
Journal of Clinical Medicine, Vol 10, Iss 3166, p 3166 (2021)
Volume 10
Issue 14
Background: Diabetes mellitus (DM) is one of the major risk factors contributing to Acute Coronary Syndromes (ACS) and is associated with an increased risk of adverse clinical outcomes following percutaneous coronary intervention (PCI), even when the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::416ef83e371a2fbf40c83c16ff675ff5
http://europepmc.org/articles/PMC8304146
http://europepmc.org/articles/PMC8304146
Autor:
Alicja Gosiewska
A code for the article: Michael Bücker, Gero Szepannek, Alicja Gosiewska, Przemysław Biecek.Transparency, Auditability and eXplainability of Machine Learning Models in Credit Scoring.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e2c46d90844fa03556738cede6880a9
Publikováno v:
Decision Support Systems. 150:113556
Machine learning has proved to generate useful predictive models that can and should support decision makers in many areas. The availability of tools for AutoML makes it possible to quickly create an effective but complex predictive model. However, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::138323a2533f3a6d61837b39155da535
https://doi.org/10.1016/j.dss.2021.113556
https://doi.org/10.1016/j.dss.2021.113556
Publikováno v:
Neural Information Processing ISBN: 9783030367176
ICONIP (3)
ICONIP (3)
Natural Language Processing models lack a unified approach to robustness testing. In this paper we introduce WildNLP - a framework for testing model stability in a natural setting where text corruptions such as keyboard errors or misspelling occur. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f61b370992c5a64d3addb7c57a6c7f90
https://doi.org/10.1007/978-3-030-36718-3_20
https://doi.org/10.1007/978-3-030-36718-3_20