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ORCIDJoseph D. Prusa
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2020 – today
- 2024
[j7]Preston Billion Polak, Joseph D. Prusa, Taghi M. Khoshgoftaar:
Low-shot learning and class imbalance: a survey. J. Big Data 11(1): 1 (2024)- [j6]Michael Lowe, Joseph D. Prusa, Joffrey L. Leevy, Taghi M. Khoshgoftaar:
Advancing machine learning with OCR2SEQ: an innovative approach to multi-modal data augmentation. J. Big Data 11(1): 86 (2024)
2010 – 2019
- 2019
- [j5]Joseph D. Prusa, Ryan Sagul
, Taghi M. Khoshgoftaar:
Extracting Knowledge from Technical Reports for the Valuation of West Texas Intermediate Crude Oil Futures. Inf. Syst. Frontiers 21(1): 109-123 (2019) - [c21]Gabriel Castaneda, Paul Morris, Joseph D. Prusa, Taghi M. Khoshgoftaar:
Investigation of Maxout Activations on Convolutional Neural Networks for Big Data Text Sentiment Analysis. FLAIRS 2019: 250-256 - 2018
- [b1]Joseph D. Prusa:
Enhancement of Deep Neural Networks and Their Application to Text Mining. Florida Atlantic University, Boca Raton, USA, 2018 - [j4]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) - [c20]Brian Heredia, Joseph D. Prusa, Taghi M. Khoshgoftaar:
The Impact of Malicious Accounts on Political Tweet Sentiment. CIC 2018: 197-202 - [c19]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
- [j3]Joseph D. Prusa, Taghi M. Khoshgoftaar:
Improving deep neural network design with new text data representations. J. Big Data 4: 7 (2017) - [j2]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) - [c18]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 - [c17]Joseph D. Prusa, Taghi M. Khoshgoftaar:
Deep Neural Network Architecture for Character-Level Learning on Short Text. FLAIRS 2017: 353-358 - [c16]Joseph D. Prusa, Taghi M. Khoshgoftaar:
Training Convolutional Networks on Truncated Text. ICTAI 2017: 330-335 - [c15]Joseph D. Prusa, Ryan Sagul, Taghi M. Khoshgoftaar, Michael Sterling:
Extracting Knowledge from Technical Reports for the Valuation of West Texas Intermediate Crude Oil Futures. IRI 2017: 42-48 - 2016
- [c14]Brian Heredia, Taghi M. Khoshgoftaar, Joseph D. Prusa, Michael Crawford:
Integrating Multiple Data Sources to Enhance Sentiment Prediction. CIC 2016: 285-291 - [c13]Michael Crawford, Taghi M. Khoshgoftaar, Joseph D. Prusa:
Reducing Feature Set Explosion to Facilitate Real-World Review Spam Detection. FLAIRS 2016: 304-309 - [c12]Joseph D. Prusa, Taghi M. Khoshgoftaar, Naeem Seliya:
Enhancing Ensemble Learners with Data Sampling on High-Dimensional Imbalanced Tweet Sentiment Data. FLAIRS 2016: 322-328 - [c11]Joseph D. Prusa, Taghi M. Khoshgoftaar:
Comparing Approaches for Combining Data Sampling and Feature Selection to Address Key Data Quality Issues in Tweet Sentiment Analysis. FLAIRS 2016: 608-613 - [c10]Joseph D. Prusa, Taghi M. Khoshgoftaar, Amri Napolitano:
Necessity of Feature Selection when Augmenting Tweet Sentiment Feature Spaces with Emoticons. FLAIRS 2016: 614-620 - [c9]Brian Heredia, Taghi M. Khoshgoftaar, Joseph D. Prusa, Michael Crawford:
An Investigation of Ensemble Techniques for Detection of Spam Reviews. ICMLA 2016: 127-133 - [c8]Brian Heredia, Taghi M. Khoshgoftaar, Joseph D. Prusa, Michael Crawford:
Cross-Domain Sentiment Analysis: An Empirical Investigation. IRI 2016: 160-165 - [c7]Joseph D. Prusa, Taghi M. Khoshgoftaar:
Designing a Better Data Representation for Deep Neural Networks and Text Classification. IRI 2016: 411-416 - 2015
- [j1]Michael Crawford, Taghi M. Khoshgoftaar, Joseph D. Prusa, Aaron N. Richter, Hamzah Al Najada:
Survey of review spam detection using machine learning techniques. J. Big Data 2: 23 (2015) - [c6]Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman:
Impact of Feature Selection Techniques for Tweet Sentiment Classification. FLAIRS 2015: 299-304 - [c5]Joseph D. Prusa, Taghi M. Khoshgoftaar, Naeem Seliya:
The Effect of Dataset Size on Training Tweet Sentiment Classifiers. ICMLA 2015: 96-102 - [c4]Joseph D. Prusa, Taghi M. Khoshgoftaar, Amri Napolitano:
Utilizing Ensemble, Data Sampling and Feature Selection Techniques for Improving Classification Performance on Tweet Sentiment Data. ICMLA 2015: 535-542 - [c3]Joseph D. Prusa, Taghi M. Khoshgoftaar, Amri Napolitano:
Using Feature Selection in Combination with Ensemble Learning Techniques to Improve Tweet Sentiment Classification Performance. ICTAI 2015: 186-193 - [c2]Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano:
Using Random Undersampling to Alleviate Class Imbalance on Tweet Sentiment Data. IRI 2015: 197-202 - [c1]Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman:
Using Ensemble Learners to Improve Classifier Performance on Tweet Sentiment Data. IRI 2015: 252-257
Coauthor Index
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