Research Output per year
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
Fingerprint Dive into the research topics where Yasin Silva is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 3 Similar Profiles
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output
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 journal › 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
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
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 journal › Article
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 proceeding › Conference contribution
Projects
Collaborative Research: TRAIN (TRAnsfer to Interdisciplinary Natural sciences): A Community College-University Consortium to Increase Community College Student Transfer and Success
Marshall, P., Broatch, J., Dietrich, S., Ferry, L., Camacho, E., Sandrin, T., Sandrin, S., Ball, B., Silva, Y. & Hackney Price, J.
National Science Foundation (NSF)
1/15/18 → 12/31/22
Project: Research project
Center of Excellence for Accelerating Operational Efficiency (CAOE)
Maciejewski, R., Roe-Sepowitz, D., Liu, H., Askin, R., Kull, T., Ahn, G., Mirchandani, P., Mancenido, M., Sefair, J., Chiou, E., Pedrielli, G., Silva, Y. & Pavlic, T.
US Department of Homeland Security (DHS)
9/1/17 → 6/30/20
Project: Research project
EAGER: BullyBlocker - Identifying Cyberbullying in Social Networking Sites
NSF-CISE: Computer and Network Systems (CNS)
9/1/17 → 8/31/20
Project: Research project
BullyBlocker: Identification of Cyberbullying in Facebook (ASUF 30005880)
Arizona State University Foundation (ASUF)
1/15/14 → 9/15/15
Project: Research project