• 388 Citations
  • 12 h-Index
20072022

Research output per year

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Personal profile

Research interests

Dr. Silva’s research focuses on innovative ways to analyze and process data. His specific areas of interest include: social media analysis, online misbehavior detection, social computing, cyberbullying detection in social networks, big data, similarity-aware data analysis, scalable database systems, and fairness and transparency in AI.

Education/Academic qualification

PHD, Purdue University

… → 2010

MS, Purdue University

… → 2006

BS, Pontific Catholic University

… → 2001

Research interests

  • Social Media Analysis
  • Online Misbehavior Detection
  • Social Computing
  • Big Data
  • Scalable Database Systems
  • Similarity-aware Data Analysis
  • Cyberbullying Detection
  • Computer Science Education

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Research Output

  • 388 Citations
  • 12 h-Index
  • 29 Conference contribution
  • 8 Article
  • 2 Chapter
  • 2 Editorial

Introduction to Special Issue of the 11th International Conference on Similarity Search and Applications (SISAP 2018)

Silva, Y. N. & Marchand-Maillet, S., Jan 1 2020, (Accepted/In press) In : Information Systems. 101509.

Research output: Contribution to journalEditorial

Pivot-based approximate k-NN similarity joins for big high-dimensional data

Čech, P., Lokoč, J. & Silva, Y., Jan 1 2020, In : Information Systems. 87, 101410.

Research output: Contribution to journalArticle

  • Hierarchical attention networks for cyberbullying detection on the instagram social network

    Cheng, L., Guo, R., Silva, Y., Hall, D. & Liu, H., Jan 1 2019, SIAM International Conference on Data Mining, SDM 2019. Society for Industrial and Applied Mathematics Publications, p. 235-243 9 p. (SIAM International Conference on Data Mining, SDM 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Parallel time series join using spark

    Rong, C., Chen, L. & Silva, Y. N., Jan 1 2019, (Accepted/In press) In : Concurrency Computation. e5622.

    Research output: Contribution to journalArticle

  • Pi-Bully: Personalized cyberbullying detection with peer influence

    Cheng, L., Li, J., Silva, Y., Hall, D. & Liu, H., Jan 1 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 5829-5835 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Projects