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Personal profile

Research interests

Dr. Silva’s research focuses on innovate 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

Keywords

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

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.

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Join Mathematics
MapReduce Mathematics
Semantics Engineering & Materials Science
Processing Engineering & Materials Science
networking Social Sciences
Scalability Engineering & Materials Science
Application programs Engineering & Materials Science
Costs Engineering & Materials Science

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Research Output 2007 2019

  • 336 Citations
  • 11 h-Index
  • 27 Conference contribution
  • 6 Article
  • 2 Chapter
  • 1 Editorial

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

Experiments
3 Citations (Scopus)

XBully: Cyberbullying detection within a multi-modal context

Cheng, L., Li, J., Silva, Y., Hall, D. & Liu, H., Jan 30 2019, WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 339-347 9 p. (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining).

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

Heterogeneous networks
Identification (control systems)
2 Citations (Scopus)

BullyBlocker: toward an interdisciplinary approach to identify cyberbullying

Silva, Y., Hall, D. & Rich, C., Dec 1 2018, In : Social Network Analysis and Mining. 8, 1, 18.

Research output: Contribution to journalArticle

Identification (control systems)
psychology
Application programs
computer science
Computer science

DBSnap++: Creating data-driven programs by snapping blocks

Silva, Y., Schenk, T. G., Nieuwenhuyse, A. & Symons, A., Jul 2 2018, ITiCSE 2018 - Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education. Andreou, P., Armoni, M., Read, J. C. & Polycarpou, I. (eds.). Association for Computing Machinery, p. 170-175 6 p.

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

Specifications
Computer science
programming
Education
instruction

Preface

Marchand-Maillet, S., Silva, Y. & Chávez, E., Jan 1 2018, In : Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 11223 LNCS, p. V-VI

Research output: Contribution to journalEditorial

Projects 2014 2022