Research output per year
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
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Recent external collaboration on country level. Dive into details by clicking on the dots.
Research output
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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 › peer-review
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Parallel time series join using spark
Rong, C., Chen, L. & Silva, Y. N., May 10 2020, In: Concurrency Computation. 32, 9, e5622.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Pivot-based approximate k-NN similarity joins for big high-dimensional data
Čech, P., Lokoč, J. & Silva, Y. N., Jan 2020, In: Information Systems. 87, 101410.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Temporal Properties of Cyberbullying on Instagram
Gupta, A., Yang, W., Sivakumar, D., Silva, Y., Hall, D. & Nardini Barioni, M., Apr 20 2020, The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, p. 576-583 8 p. (The Web Conference 2020 - Companion of the World Wide Web Conference, WWW 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model
Cheng, L., Shu, K., Wu, S., Silva, Y. N., Hall, D. L. & Liu, H., Oct 19 2020, CIKM 2020 - Proceedings of the 29th ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, p. 185-194 10 p. (International Conference on Information and Knowledge Management, Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access2 Scopus citations
Projects
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SaTC: CORE: Medium: Interdisciplinary Models to Identify and Understand Cyberbullying
National Science Foundation (NSF)
1/1/21 → 12/31/24
Project: Research project
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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., Ball, B., Silva, Y., Hackney Price, J. & Nishimura, J.
National Science Foundation (NSF)
1/15/18 → 12/31/22
Project: Research project
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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., Bliss, N., McCarville, D., Escobedo, A. & Terrill, W.
US Department of Homeland Security (DHS)
9/1/17 → 6/30/21
Project: Research project
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EAGER: BullyBlocker - Identifying Cyberbullying in Social Networking Sites
NSF-CISE: Computer and Network Systems (CNS)
9/1/17 → 8/31/20
Project: Research project
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BullyBlocker: Identification of Cyberbullying in Facebook (ASUF 30005880)
Arizona State University Foundation (ASUF)
1/15/14 → 9/15/15
Project: Research project