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Sahely Bhadra

20172019

Research output per year

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Personal profile

Education/Academic qualification

Doctor of Philosophy, Technology

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Research Output

  • 3 Article
  • 2 Conference contribution
  • 1 Chapter

Large-Scale Sparse Kernel Canonical Correlation Analysis

Uurtio, V., Bhadra, S. & Rousu, J., 2019, 36th International Conference on Machine Learning, ICML 2019. p. 6383-6391 9 p. (Proceedings of Machine Learning Research; vol. 97).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Open Access
File
  • 6 Downloads (Pure)

    Analysis of fluxomic experiments with principal metabolic flux mode analysis

    Bhadra, S. & Rousu, J., 1 Jan 2018, Methods in Molecular Biology. Mamitsuka, H. (ed.). p. 141-161 21 p. (Methods in Molecular Biology; vol. 1807).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

  • Principal metabolic flux mode analysis

    Bhadra, S., Blomberg, P., Castillo, S. & Rousu, J., 2018, In : Bioinformatics. 34, 14, p. 2409-2417

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 132 Downloads (Pure)

    Sparse Non-linear CCA through Hilbert-Schmidt Independence Criterion

    Uurtio, V., Bhadra, S. & Rousu, J., 2018, 2018 IEEE International Conference on Data Mining, ICDM 2018. IEEE, p. 1278-1283 6 p. 8594981

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    1 Citation (Scopus)
    148 Downloads (Pure)

    Multi-view kernel completion

    Bhadra, S., Kaski, S. & Rousu, J., May 2017, In : Machine Learning. 106, 5, p. 713–739

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 14 Citations (Scopus)
    200 Downloads (Pure)