Yasin Silva

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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Application programs Engineering & Materials Science

Costs Engineering & Materials Science

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Research Output 2007 2020

351 Citations
11 h-Index
27 Conference contribution
7 Article
2 Chapter
1 Editorial

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 journal › Article

Approximation algorithms

Electric sparks

Data mining

Scalability

Nearest neighbor search

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 proceeding › Conference contribution

Experiments

5 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 proceeding › Conference 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 journal › Article

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 proceeding › Conference contribution

Specifications

Computer science

programming

Education

instruction