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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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

Health
Bioinformatics
Statistics
Information science
Big data
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 proceedingConference 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 proceedingConference 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 journalArticle

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 proceedingConference 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 journalArticle

Recommender systems
Scalability
Marketing
Feedback
Experiments