Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Kinga Glinka"'
Publikováno v:
Computers in Biology and Medicine. 100:279-288
The medical diagnostic process may be supported by computational classification techniques. In many cases, patients are affected by multiple illnesses, and more than one classification label is required to improve medical decision-making. In this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8edcb69099845a5965f2f8988eca4b2
https://doi.org/10.1016/j.compbiomed.2017.07.006
https://doi.org/10.1016/j.compbiomed.2017.07.006
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030197377
CORES
CORES
Multi-label classification problems very often concern multidimensional datasets, thus, performance of the method is problematic in many cases. Exploiting label dependencies may ameliorate classification results. In the paper, new effective problem t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9df92157bcecc74bb54ea431e109fb7b
https://doi.org/10.1007/978-3-030-19738-4_7
https://doi.org/10.1007/978-3-030-19738-4_7
Publikováno v:
FedCSIS
The paper describes the study on the problem of missing values in medical data collected to discover new dependencies between parameters in children born with intrauterine growth restriction disorder. The aim of the research is to propose a procedure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::631bdb4cc88d3efce4e08b7153e61a36
https://doi.org/10.15439/2018f196
https://doi.org/10.15439/2018f196
Publikováno v:
WETICE
Multi-label text classification plays a significant role in information retrieval area. The effectiveness of the techniques is especially important in the case of medical documents. In the paper, application of feature selection methods for improving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59668b9b92cbd932a3c9fe274906f9a0
https://doi.org/10.1109/wetice.2017.42
https://doi.org/10.1109/wetice.2017.42
Autor:
Kinga Glinka, Danuta Zakrzewska
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319439815
In multi-label classification tasks, very often labels are correlated and to not lose important information, methods should take into account existing dependencies. Such situation especially takes place in the case of multimedia datasets. In the pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c71efe9d62fe78b7c72a7c0ad0ca434b
https://doi.org/10.1007/978-3-319-43982-2_5
https://doi.org/10.1007/978-3-319-43982-2_5
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319397955
ITIB (1)
ITIB (1)
Using intelligent computational methods may support children diagnostics process. As in many cases patients are affected by multiple illnesses, multi-perspective view on patient data is necessary to improve medical decision making. In the paper, mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7325f5a8a2ee36bd93ff4d039584564a
https://doi.org/10.1007/978-3-319-39796-2_21
https://doi.org/10.1007/978-3-319-39796-2_21
Autor:
Kinga Glinka, Danuta Zakrzewska
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319261539
FQAS
FQAS
Multi-label classification, contrarily to the traditional single-label one, aims at predicting more than one predefined class label for data instances. Multi-label classification problems very often concern multidimensional datasets where number of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7081f6f0ef6d1a1d6071173eb1525be1
https://doi.org/10.1007/978-3-319-26154-6_10
https://doi.org/10.1007/978-3-319-26154-6_10