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pro vyhledávání: '"Loog M"'
Autor:
Mourragui, S.M.C., Loog, M., van Nee, Mirrelijn, de Wiel, Mark A.van, Reinders, M.J.T., Wessels, L.F.A., Tang, Haixu
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031291180
Research in Computational Molecular Biology-27th Annual International Conference, RECOMB 2023, Proceedings
Research in Computational Molecular Biology-27th Annual International Conference, RECOMB 2023, Proceedings
Motivation: Anti-cancer drugs may elicit resistance or sensitivity through mechanisms which involve several genomic layers. Nevertheless, we have demonstrated that gene expression contains most of the predictive capacity compared to the remaining omi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::183fa41d60e47fc5fe4ec6222c54cc77
https://doi.org/10.1007/978-3-031-29119-7_8
https://doi.org/10.1007/978-3-031-29119-7_8
Akademický článek
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Akademický článek
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Autor:
Nielsen, M., Karemore, G., Loog, M., Raundahl, J., Karssemeijer, N., Otten, J.D.M., Karsdal, M.A., Vachon, C.M., Christiansen, C.
Publikováno v:
In Cancer Epidemiology 2011 35(4):381-387
Autor:
Yildiz, B., Hung, H.S., Krijthe, J.H., Liem, C.C.S., Loog, M., Migut, M.A., Oliehoek, F.A., Panichella, A., Pawełczak, Przemysław, Picek, S., de Weerdt, M.M., van Gemert, J.C., Kerautret, Bertrand, Colom, Miguel, Krähenbühl, Adrien, Lopresti, Daniel, Monasse, Pascal, Talbot, Hugues
Publikováno v:
Reproducible Research in Pattern Recognition-3rd International Workshop, RRPR 2021, Revised Selected Papers
Reproducible Research in Pattern Recognition ISBN: 9783030764227
RRPR
Reproducible Research in Pattern Recognition ISBN: 9783030764227
RRPR
We present ReproducedPapers.org : an open online repository for teaching and structuring machine learning reproducibility. We evaluate doing a reproduction project among students and the added value of an online reproduction repository among AI resea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fff990be267e8b5ff321d863bfd25979
http://resolver.tudelft.nl/uuid:2dcec1b3-db86-4b44-af1f-f287cf424b2c
http://resolver.tudelft.nl/uuid:2dcec1b3-db86-4b44-af1f-f287cf424b2c
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030445836
IDA
Advances in Intelligent Data Analysis XVIII-18th International Symposium on Intelligent Data Analysis, IDA 2020, Proceedings, 12080
IDA
Advances in Intelligent Data Analysis XVIII-18th International Symposium on Intelligent Data Analysis, IDA 2020, Proceedings, 12080
Learning performance can show non-monotonic behavior. That is, more data does not necessarily lead to better models, even on average. We propose three algorithms that take a supervised learning model and make it perform more monotone. We prove consis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86281c48a0d20d74b321d40abd0d3cfc
https://doi.org/10.1007/978-3-030-44584-3_42
https://doi.org/10.1007/978-3-030-44584-3_42
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030445836
IDA
Advances in Intelligent Data Analysis XVIII-18th International Symposium on Intelligent Data Analysis, IDA 2020, Proceedings, 12080
IDA
Advances in Intelligent Data Analysis XVIII-18th International Symposium on Intelligent Data Analysis, IDA 2020, Proceedings, 12080
Manifold regularization is a commonly used technique in semi-supervised learning. It enforces the classification rule to be smooth with respect to the data-manifold. Here, we derive sample complexity bounds based on pseudo-dimension for models that a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fdeafc5ca414e256fbab131bcb2f046
https://doi.org/10.1007/978-3-030-44584-3_26
https://doi.org/10.1007/978-3-030-44584-3_26
Publikováno v:
In Medical Image Analysis 2006 10(6):826-840
Akademický článek
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Publikováno v:
Magliacane, S. (ed.), Advances in Neural Information Processing Systems, pp. 1795-1804
31, 1795-1804. S.l. : Curran Associates, Inc
STARTPAGE=1795;ENDPAGE=1804;TITLE=31
31, 1795-1804. S.l. : Curran Associates, Inc
STARTPAGE=1795;ENDPAGE=1804;TITLE=31
Contains fulltext : 199900.pdf (Publisher’s version ) (Open Access)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::834604a52f9d736d257fd33da8aca0de
https://hdl.handle.net/2066/199900
https://hdl.handle.net/2066/199900