Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ulrika Wickenberg"'
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3845af85eae44e88fc9bf19d584554f2
https://doi.org/10.1109/icmla55696.2022.00062
https://doi.org/10.1109/icmla55696.2022.00062
Publikováno v:
SemEval@NAACL-HLT
This paper describes the system used and results obtained for team FOI DSS at SemEval-2018 Task 1: Affect In Tweets. The team participated in all English language subtasks, with a method utilizing transfer learning from LSTM nets trained on large sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efb6c212deba6a785af07268c9dafe36
https://doi.org/10.18653/v1/s18-1014
https://doi.org/10.18653/v1/s18-1014
Autor:
Claes Andersson, Anders Isaksson, Mikael Wallman, Mats G. Gustafsson, Hanna Göransson, Ulrika Wickenberg Bolin, Mårten Fryknäs
Publikováno v:
Artificial intelligence in medicine. 49(2)
Objective: Successful use of classifiers that learn to make decisions from a set of patient examples require robust methods for performance estimation. Recently many promising approaches for determination of an upper bound for the error rate of a sin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de92e7655c7ddc6a583a48ae2b32eb43
https://pubmed.ncbi.nlm.nih.gov/20347582
https://pubmed.ncbi.nlm.nih.gov/20347582
Autor:
Thomas A. Rhomberg, Olof Karlberg, Thierry Mini, Ursula Zimny-Arndt, Ulrika Wickenberg, Marlene Rttgen, Peter R. Jungblut, Paul Jen, Siv G. E. Andersson, Christoph Dehio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebdebff2f98a6f3e4296f48821858459
https://doi.org/10.1002/9783527610099.ch11
https://doi.org/10.1002/9783527610099.ch11
Autor:
Gisela Barbany, Mats Bengtsson, Hanna Göransson, Ulrika Wickenberg-Bolin, Ulla Olsson-Strömberg, Martin Höglund, Anders Isaksson, Bengt Simonsson, Anette Hagberg
Publikováno v:
Leukemia research. 31(7)
Microarray-based gene expression analysis was performed on diagnostic chronic phase CML patient samples prior to interferon treatment. Fifteen patient samples corresponding to six cytogenetic responders and nine non-responders were included. Genes di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92e811626a114e840155c9df22b0215c
https://pubmed.ncbi.nlm.nih.gov/17207527
https://pubmed.ncbi.nlm.nih.gov/17207527
Autor:
Mårten Fryknäs, Ulrika Wickenberg-Bolin, Anders Isaksson, Mats G. Gustafsson, Hanna Göransson
Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 127 (2006)
BMC Bioinformatics
BMC Bioinformatics
Background Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm that the classifier is robust with good generalization performance to new e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33eb89610183c848ec765f5dec579a6b
http://www.biomedcentral.com/1471-2105/7/127
http://www.biomedcentral.com/1471-2105/7/127
Autor:
Theodoros Foukakis, Anders Höög, Jia-Jing Lee, Hanna Göransson, Göran Wallin, Anders Isaksson, Ulf Landegren, Catharina Larsson, Ulf Pettersson, Mats G. Gustafsson, Mårten Fryknäs, Ulrika Wickenberg-Bolin, Lars Grimelius
Publikováno v:
Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine. 27(4)
To identify molecular markers useful for the diagnostic discrimination of benign and malignant follicular thyroid tumors.A panel of thyroid tumors was characterized with expression profiling using cDNA microarrays. A robust algorithm for gene selecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd339c485092640cf028da84474a2b93
https://pubmed.ncbi.nlm.nih.gov/16675914
https://pubmed.ncbi.nlm.nih.gov/16675914
Autor:
Marlene Röttgen, Olof Karlberg, Ursula Zimny-Arndt, Christoph Dehio, Thierry Mini, Thomas A. Rhomberg, Paul Jenö, Ulrika Wickenberg, Siv G. E. Andersson, Peter R. Jungblut
Publikováno v:
Proteomics of Microbial Pathogens
Bartonella henselae is an emerging zoonotic pathogen causing a wide range of disease manifestations in humans. In this study, we report on the analysis of the sarcosine-insoluble outer membrane fraction of B. henselae ATCC 49882 Houston-1 by one-dime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f060644cd23e159b161524dfaf48d5a
https://pubmed.ncbi.nlm.nih.gov/15378747
https://pubmed.ncbi.nlm.nih.gov/15378747
Akademický článek
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Autor:
Thomas A. Rhomberg, Olof Karlberg, Thierry Mini, Ursula Zimny-Arndt, Ulrika Wickenberg, Marlene Röttgen, Peter R. Jungblut, Paul Jenö, Siv G. E. Andersson, Christoph Dehio
Publikováno v:
Proteomics; Oct2004, Vol. 4 Issue 10, p3021-3033, 13p