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2010 – 2019
- 2018
[b1]Brian Heredia:
Machine Learning Algorithms for the Analysis of Social Media and Detection of Malicious User Generated Content. Florida Atlantic University, Boca Raton, USA, 2018- [j2]Brian Heredia
, Joseph D. Prusa, Taghi M. Khoshgoftaar:
Social media for polling and predicting United States election outcome. Soc. Netw. Anal. Min. 8(1): 48:1-48:16 (2018) - [c8]Brian Heredia, Joseph D. Prusa, Taghi M. Khoshgoftaar:
The Impact of Malicious Accounts on Political Tweet Sentiment. CIC 2018: 197-202 - [c7]Brian Heredia, Joseph D. Prusa, Taghi M. Khoshgoftaar:
Location-Based Twitter Sentiment Analysis for Predicting the U.S. 2016 Presidential Election. FLAIRS 2018: 265-270 - 2017
- [j1]Brian Heredia, Taghi M. Khoshgoftaar, Joseph D. Prusa, Michael Crawford:
Improving detection of untrustworthy online reviews using ensemble learners combined with feature selection. Soc. Netw. Anal. Min. 7(1): 37:1-37:18 (2017) - [c6]Brian Heredia, Joseph D. Prusa, Taghi M. Khoshgoftaar:
Exploring the Effectiveness of Twitter at Polling the United States 2016 Presidential Election. CIC 2017: 283-290 - 2016
- [c5]Brian Heredia, Taghi M. Khoshgoftaar, Joseph D. Prusa, Michael Crawford:
Integrating Multiple Data Sources to Enhance Sentiment Prediction. CIC 2016: 285-291 - [c4]Brian Heredia, Taghi M. Khoshgoftaar, Joseph D. Prusa, Michael Crawford:
An Investigation of Ensemble Techniques for Detection of Spam Reviews. ICMLA 2016: 127-133 - [c3]Brian Heredia, Taghi M. Khoshgoftaar, Joseph D. Prusa, Michael Crawford:
Cross-Domain Sentiment Analysis: An Empirical Investigation. IRI 2016: 160-165 - 2015
- [c2]Aaron N. Richter, Michael Crawford, Brian Heredia, Taghi M. Khoshgoftaar:
Efficient Modeling of User-Entity Preference in Big Social Networks. ICTAI 2015: 982-988 - [c1]Brian Heredia, Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman:
Building an Effective Classification Model for Breast Cancer Patient Response Data. IRI 2015: 229-235
Coauthor Index
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