Probabilistic Machine Learning

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  • 2022

    Rethinking Collaborative Clustering: A Practical and Theoretical Study Within the Realm of Multi-view Clustering

    Murena, P. A., Sublime, J. & Matei, B., 2022, Recent Advancements in Multi-View Data Analytics . Springer, p. 97-130 34 p. (Studies in Big Data; vol. 106).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

    Open Access
    2 Citations (Scopus)
  • 2021

    Machine Learning for Metabolic Identification

    Nguyen, D. H., Nguyen, C. H. & Mamitsuka, H., 2021, Creative Complex Systems. Springer, p. 329-350 22 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

    Open Access
    File
    90 Downloads (Pure)
  • 2019

    CalCleaveMKL: a Tool for Calpain Cleavage Prediction

    duVerle, D. A. & Mamitsuka, H., 1 Jan 2019, Calpain. Springer, p. 121-147 27 p. (Methods in molecular biology; vol. 1915).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

    10 Citations (Scopus)
  • 2018

    DrugE-rank: Predicting drug-target interactions by learning to rank

    Deng, J., Yuan, Q., Mamitsuka, H. & Zhu, S., 1 Jan 2018, Methods in Molecular Biology. Springer, p. 195-202 8 p. (Methods in Molecular Biology; vol. 1807).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

    3 Citations (Scopus)

  • MeSHLabeler and DeepMeSH: Recent progress in large-scale MeSH indexing

    Peng, S., Mamitsuka, H. & Zhu, S., 1 Jan 2018, Methods in Molecular Biology. Springer, p. 203-209 7 p. (Methods in Molecular Biology; vol. 1807).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

    2 Citations (Scopus)

  • SiBIC: A tool for generating a network of biclusters captured by maximal frequent itemset mining

    Takahashi, K. I., duVerle, D. A., Yotsukura, S., Takigawa, I. & Mamitsuka, H., 1 Jan 2018, Methods in Molecular Biology. Springer, p. 95-111 17 p. (Methods in Molecular Biology; vol. 1807).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

  • 2017

    Crowdsourcing for Information Visualization: Promises and Pitfalls

    Borgo, R., Lee, B., Bach, B., Fabrikant, S., Jianu, R., Kerren, A., Kobourov, S., McGee, F., Micallef, L., Landesberger, T. V., Ballweg, K., Diehl, S., Simonetto, P. & Zhou, M., 2017, Evaluation in the Crowd: Crowdsourcing and Human-Centered Experiments: Dagstuhl Seminar 15481, Dagstuhl Castle, Germany, November 22 – 27, 2015 Revised Contributions. Archambault, D., Purchase, H. & Hossfeld, T. (eds.). Springer, p. 96-138 (Lecture Notes in Computer Science; vol. 10264).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review