Zobrazeno 1 - 10
of 3 713
pro vyhledávání: '"Loog M"'
Autor:
Puss KK; Institute of Bioengineering, Nooruse 1, Tartu, Estonia; Institute of Chemistry, University of Tartu, Ravila 14a, Tartu, Estonia. Electronic address: Kait.Kaarel.Puss@ut.ee., Paaver P; University of Tartu, Institute of Ecology and Earth Sciences, Ravila 14a, Tartu, Estonia., Loog M; Institute of Bioengineering, Nooruse 1, Tartu, Estonia., Salmar S; Institute of Chemistry, University of Tartu, Ravila 14a, Tartu, Estonia.
Publikováno v:
Ultrasonics sonochemistry [Ultrason Sonochem] 2024 Sep 14; Vol. 111, pp. 107071. Date of Electronic Publication: 2024 Sep 14.
Autor:
Blank HM; Department of Biochemistry and Biophysics, Texas A&M University, 2128 TAMU, College Station, TX 77843, USA., Alonso A; Department of Molecular and Cellular Biology, University of California, Davis, Davis, CA 95616, USA., Fabritius AS; Department of Molecular and Cellular Biology, University of California, Davis, Davis, CA 95616, USA., Valk E; Institute of Technology, University of Tartu, Tartu 50411, Estonia., Loog M; Institute of Technology, University of Tartu, Tartu 50411, Estonia., Winey M; Department of Molecular and Cellular Biology, University of California, Davis, Davis, CA 95616, USA., Polymenis M; Department of Biochemistry and Biophysics, Texas A&M University, 2128 TAMU, College Station, TX 77843, USA.
Publikováno v:
Genetics [Genetics] 2024 Jul 08; Vol. 227 (3).
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
Autor:
Valk E; Institute of Technology, University of Tartu, Tartu, 50411, Estonia., Örd M; Institute of Technology, University of Tartu, Tartu, 50411, Estonia., Faustova I; Institute of Technology, University of Tartu, Tartu, 50411, Estonia., Loog M; Institute of Technology, University of Tartu, Tartu, 50411, Estonia.
Publikováno v:
Molecular biology of the cell [Mol Biol Cell] 2023 Nov 01; Vol. 34 (12), pp. pe5.
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
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence [IEEE Trans Pattern Anal Mach Intell] 2023 Jun; Vol. 45 (6), pp. 7799-7819. Date of Electronic Publication: 2023 May 05.
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence [IEEE Trans Pattern Anal Mach Intell] 2023 Apr; Vol. 45 (4), pp. 4747-4767. Date of Electronic Publication: 2023 Mar 07.
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
Autor:
Venta R; Institute of Technology, University of Tartu, Tartu, 50411, Estonia., Valk E; Institute of Technology, University of Tartu, Tartu, 50411, Estonia., Örd M; Institute of Technology, University of Tartu, Tartu, 50411, Estonia., Košik O; Institute of Technology, University of Tartu, Tartu, 50411, Estonia., Pääbo K; Institute of Technology, University of Tartu, Tartu, 50411, Estonia., Maljavin A; Institute of Technology, University of Tartu, Tartu, 50411, Estonia., Kivi R; Institute of Technology, University of Tartu, Tartu, 50411, Estonia., Faustova I; Institute of Technology, University of Tartu, Tartu, 50411, Estonia., Shtaida N; Institute of Technology, University of Tartu, Tartu, 50411, Estonia., Lepiku M; Institute of Technology, University of Tartu, Tartu, 50411, Estonia., Möll K; Institute of Technology, University of Tartu, Tartu, 50411, Estonia., Doncic A; Department of Biology, Stanford University, Stanford, CA, 94305, USA., Kõivomägi M; Institute of Technology, University of Tartu, Tartu, 50411, Estonia.; Department of Biology, Stanford University, Stanford, CA, 94305, USA., Loog M; Institute of Technology, University of Tartu, Tartu, 50411, Estonia. mart.loog@ut.ee.
Publikováno v:
Nature communications [Nat Commun] 2020 Apr 15; Vol. 11 (1), pp. 1836. Date of Electronic Publication: 2020 Apr 15.
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