Showing 1 - 20 results of 733 for search 'Rousu, Juho' Narrow Search
3
Academic Journal
4
Report

Contributors: Doctoral Programme in Chemistry and Molecular Sciences, Department of Chemistry, Doctoral Programme in Integrative Life Science, Helsinki Institute for Information Technology, Department of Computer Science

File Description: application/pdf

Relation: This project has received funding from the European Research Council under the European Union's Horizon 2020 research and innovation programme under Grant No. 101002728. The support from the Academy of Finland (334790, 339421, 345802, 346373, 346377, 353836, 358066) is greatly appreciated.; Sandstrom , H , Rissanen , M , Rousu , J & Rinke , P 2023 , ' Data-Driven Compound Identification in Atmospheric Mass Spectrometry ' . https://doi.org/10.1002/advs.202306235; 2a119236-88e9-4126-bd27-8768db04f376; http://hdl.handle.net/10138/569340; 001126433800001

7
Academic Journal

Authors: Astero, MaryamAff1, IDs13321024008410_cor1, Rousu, JuhoAff1, IDs13321024008410_cor2

Superior Title: Journal of Cheminformatics. 16(1)

8
Academic Journal

Contributors: Department of Applied Physics, Department of Computer Science, Computational Electronic Structure Theory, Computer Science Professors, Computer Science - Large-scale Computing and Data Analysis (LSCA), Computer Science - Artificial Intelligence and Machine Learning (AIML), Computer Science - Computational Life Sciences (CSLife), Helsinki Institute for Information Technology (HIIT), Professorship Rousu Juho, University of Helsinki, Aalto-yliopisto, Aalto University

File Description: application/pdf

Relation: Advanced Science; Volume 11, issue 8; Sandström, H, Rissanen, M P, Rousu, J & Rinke, P 2023, ' Data-driven compound identification in atmospheric mass spectrometry ', Advanced Science, vol. 11, no. 8 . https://doi.org/10.1002/advs.202306235; PURE UUID: b0267b0b-3969-4f76-bf28-32c247149beb; PURE ITEMURL: https://research.aalto.fi/en/publications/b0267b0b-3969-4f76-bf28-32c247149beb; PURE LINK: http://www.scopus.com/inward/record.url?scp=85179999729&partnerID=8YFLogxK; PURE FILEURL: https://research.aalto.fi/files/143051230/Advanced_Science_-_2023_-_Sandstr_m_-_Data_Driven_Compound_Identification_in_Atmospheric_Mass_Spectrometry.pdf; https://aaltodoc.aalto.fi/handle/123456789/127454; URN:NBN:fi:aalto-202404113077

14
Academic Journal

Contributors: Télécom Paris, Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom Paris (IMT)-Télécom Paris, Signal, Statistique et Apprentissage (S2A), Institut Mines-Télécom Paris (IMT)-Télécom Paris-Institut Mines-Télécom Paris (IMT)-Télécom Paris, Statistical Machine Learning and Parsimony (SIERRA), Département d'informatique - ENS Paris (DI-ENS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria), Université Paris sciences et lettres (PSL), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRAE), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Department of Computer Science Aalto, Aalto University, Chaire DSAIDIS Data Science & Artificial Intelligence for Digitalized Industry & Services

Superior Title: ISSN: 1532-4435.

18
Conference

Contributors: Helsinki Institute for Information Technology (HIIT), Centre of Excellence in Computational Inference, COIN, Professorship Rousu Juho, Department of Computer Science, Aalto-yliopisto, Aalto University

File Description: application/pdf

Relation: International Conference on Machine Learning; Proceedings of the 36th International Conference on Machine Learning; Proceedings of Machine Learning Research; Volume 97; Uurtio , V , Bhadra , S & Rousu , J 2019 , Large-Scale Sparse Kernel Canonical Correlation Analysis . in 36th International Conference on Machine Learning, ICML 2019 . Proceedings of Machine Learning Research , vol. 97 , JMLR , pp. 6383-6391 , International Conference on Machine Learning , Long Beach , California , United States , 09/06/2019 . < http://proceedings.mlr.press/v97/uurtio19a.html >; PURE UUID: 2976ff2a-04aa-4591-a3eb-7aacc6c7221b; PURE ITEMURL: https://research.aalto.fi/en/publications/2976ff2a-04aa-4591-a3eb-7aacc6c7221b; PURE LINK: http://proceedings.mlr.press/v97/uurtio19a.html; PURE FILEURL: https://research.aalto.fi/files/36898778/Uurtio_et.al_Large_Scale_Sparse.19a.pdf; https://aaltodoc.aalto.fi/handle/123456789/40288; URN:NBN:fi:aalto-201909205314

19
Academic Journal

Contributors: Department of Computer Science, Professorship Rousu Juho, Helsinki Institute for Information Technology (HIIT), Computer Science - Computational Life Sciences (CSLife), University of Helsinki, University of Turku, Aalto University, Aalto-yliopisto

File Description: application/pdf

Relation: Nature Communications; Volume 11, issue 1; Julkunen, H, Cichonska, A, Gautam, P, Szedmak, S, Douat, J, Pahikkala, T, Aittokallio, T & Rousu, J 2020, ' Leveraging multi-way interactions for systematic prediction of pre-clinical drug combination effects ', Nature Communications, vol. 11, no. 1, 6136 . https://doi.org/10.1038/s41467-020-19950-z; PURE UUID: 68ba7570-885c-40bc-98b3-f35fde41e81a; PURE ITEMURL: https://research.aalto.fi/en/publications/68ba7570-885c-40bc-98b3-f35fde41e81a; PURE LINK: http://www.scopus.com/inward/record.url?scp=85096960727&partnerID=8YFLogxK; PURE FILEURL: https://research.aalto.fi/files/53902254/Julkunen_Leveraging.s41467_020_19950_z.pdf; https://aaltodoc.aalto.fi/handle/123456789/101516; URN:NBN:fi:aalto-2020123160337

20
Academic Journal

Contributors: Professorship Rousu Juho, University of Glasgow, Helsinki Institute for Information Technology (HIIT), Department of Computer Science, Aalto-yliopisto, Aalto University

File Description: application/pdf

Relation: Bioinformatics; Bach , E , Rogers , S , Williamson , J & Rousu , J 2020 , ' Probabilistic Framework for Integration of Mass Spectrum and Retention Time Information in Small Molecule Identification ' , Bioinformatics , vol. 37 , no. 12 , pp. 1724-1731 . https://doi.org/10.1093/bioinformatics/btaa998; PURE UUID: 9e49d7a2-8796-4f7c-bb1b-493d7d73d3ec; PURE ITEMURL: https://research.aalto.fi/en/publications/9e49d7a2-8796-4f7c-bb1b-493d7d73d3ec; PURE LINK: https://github.com/aalto-ics-kepaco/msms_rt_score_integration; PURE FILEURL: https://research.aalto.fi/files/54082893/Bach_Probabilistic_Framework.btaa998.pdf; https://aaltodoc.aalto.fi/handle/123456789/101570; URN:NBN:fi:aalto-2020123160391