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Vasant Gajanan Honavar, PhD

 https://orcid.org/0000-0001-5399-3489
    • 5788 Citations
    • 34 h-Index
    1989 …2021
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    Classifiers Engineering & Materials Science
    Ontology Engineering & Materials Science
    Learning algorithms Engineering & Materials Science
    Proteins Engineering & Materials Science
    Learning systems Engineering & Materials Science
    Web services Engineering & Materials Science
    Taxonomies Engineering & Materials Science
    Classifier Mathematics

    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Projects 2003 2021

    Penn State Biomedical Big Data to Knowledge (B2D2K) Training Program

    Honavar, V. G., Ritchie, M. D., Li, R., Ritchie, M. D. & Broach, J.

    National Institutes of Health

    4/1/16 → 3/31/21

    Project: Research project

    Health
    Bioinformatics
    Statistics
    Information science
    Big data

    Protein Sequence Structure Function Relationships

    Honavar, V. G.

    National Institutes of Health

    6/10/03 → 5/31/08

    Project: Research project

    Proteins
    Signal transduction
    Bioinformatics
    Gene expression
    Antibodies

    Research Output 1989 2019

    Improving image captioning by leveraging knowledge graphs

    Zhou, Y., Sun, Y. & Honavar, V. G., Mar 4 2019, Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019. Institute of Electrical and Electronics Engineers Inc., p. 283-293 11 p. 8658870. (Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Experiments

    Multi-view network embedding via graph factorization clustering and co-regularized multi-view agreement

    Sun, Y., Bui, N., Hsieh, T. Y. & Honavar, V. G., Feb 7 2019, Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018. Yu, J., Li, Z., Tong, H. & Zhu, F. (eds.). IEEE Computer Society, p. 1006-1013 8 p. 8637384. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2018-November).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Factorization
    Labeling
    Labels
    Experiments

    The Virtual Data Collaboratory

    Parashar, M., Honavar, V. G., Simonet, A., Rodero, I., Ghahramani, F., Agnew, G. & Jantz, R., Jan 1 2019, (Accepted/In press) In : Computing in Science and Engineering.

    Research output: Contribution to journal › Article

    Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems

    Liang, J., Hu, J., Dong, S. & Honavar, V. G., Jan 22 2019, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Song, Y., Liu, B., Lee, K., Abe, N., Pu, C., Qiao, M., Ahmed, N., Kossmann, D., Saltz, J., Tang, J., He, J., Liu, H. & Hu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1052-1058 7 p. 8621994. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Recommender systems
    Computational complexity
    Feedback
    2 Citations (Scopus)

    A user similarity-based Top-N recommendation approach for mobile in-application advertising

    Hu, J., Liang, J., Kuang, Y. & Honavar, V. G., Nov 30 2018, In : Expert Systems With Applications. 111, p. 51-60 10 p.

    Research output: Contribution to journal › Article

    Recommender systems
    Scalability
    Marketing
    Feedback
    Experiments