Joseph D. Prusa

发表

Investigation of Maxout Activations on Convolutional Neural Networks for Big Data Text Sentiment Analysis

Taghi M. Khoshgoftaar, Paul Morris, Gabriel Castaneda Oscos, 2019, FLAIRS.

Survey of review spam detection using machine learning techniques

Taghi M. Khoshgoftaar, Joseph D. Prusa, Aaron N. Richter, 2015, Journal of Big Data.

Exploring the Effectiveness of Twitter at Polling the United States 2016 Presidential Election

Taghi M. Khoshgoftaar, Joseph D. Prusa, Brian Heredia, 2017, 2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC).

Impact of Feature Selection Techniques for Tweet Sentiment Classification

Taghi M. Khoshgoftaar, Joseph D. Prusa, David J. Dittman, 2015, FLAIRS.

Deep Neural Network Architecture for Character-Level Learning on Short Text

Taghi M. Khoshgoftaar, Joseph D. Prusa, 2017, FLAIRS Conference.

Location-Based Twitter Sentiment Analysis for Predicting the U.S. 2016 Presidential Election

Taghi M. Khoshgoftaar, Joseph D. Prusa, Brian Heredia, 2018, FLAIRS Conference.

Using Random Undersampling to Alleviate Class Imbalance on Tweet Sentiment Data

Taghi M. Khoshgoftaar, Amri Napolitano, Joseph D. Prusa, 2015, 2015 IEEE International Conference on Information Reuse and Integration.

Enhancing Ensemble Learners with Data Sampling on High-Dimensional Imbalanced Tweet Sentiment Data

Taghi M. Khoshgoftaar, Naeem Seliya, Joseph D. Prusa, 2016, FLAIRS.

Using Feature Selection in Combination with Ensemble Learning Techniques to Improve Tweet Sentiment Classification Performance

Taghi M. Khoshgoftaar, Amri Napolitano, Joseph D. Prusa, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Extracting Knowledge from Technical Reports for the Valuation of West Texas Intermediate Crude Oil Futures

Taghi M. Khoshgoftaar, Joseph D. Prusa, Ryan Sagul, 2017, 2017 IEEE International Conference on Information Reuse and Integration (IRI).

An evaluation of machine learning algorithms for tweet sentiment analysis

Joseph D. Prusa, 2015 .

Social media for polling and predicting United States election outcome

Taghi M. Khoshgoftaar, Joseph D. Prusa, Brian Heredia, 2018, Social Network Analysis and Mining.

The Impact of Malicious Accounts on Political Tweet Sentiment

Taghi M. Khoshgoftaar, Joseph D. Prusa, Brian Heredia, 2018, 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC).

Improving detection of untrustworthy online reviews using ensemble learners combined with feature selection

Taghi M. Khoshgoftaar, Joseph D. Prusa, Brian Heredia, 2017, Social Network Analysis and Mining.

Extracting Knowledge from Technical Reports for the Valuation of West Texas Intermediate Crude Oil Futures

Taghi M. Khoshgoftaar, Joseph D. Prusa, Ryan Sagul, 2019, Inf. Syst. Frontiers.

An Investigation of Ensemble Techniques for Detection of Spam Reviews

Taghi M. Khoshgoftaar, Joseph D. Prusa, Brian Heredia, 2016, 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA).

Training Convolutional Networks on Truncated Text

Taghi M. Khoshgoftaar, Joseph D. Prusa, 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).

Integrating Multiple Data Sources to Enhance Sentiment Prediction

Taghi M. Khoshgoftaar, Joseph D. Prusa, Brian Heredia, 2016, 2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC).

Using Ensemble Learners to Improve Classifier Performance on Tweet Sentiment Data

Taghi M. Khoshgoftaar, Joseph D. Prusa, David J. Dittman, 2015, 2015 IEEE International Conference on Information Reuse and Integration.

Cross-Domain Sentiment Analysis: An Empirical Investigation

Taghi M. Khoshgoftaar, Joseph D. Prusa, Brian Heredia, 2016, 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI).

Improving deep neural network design with new text data representations

Taghi M. Khoshgoftaar, Joseph D. Prusa, T. Khoshgoftaar, 2017, Journal of Big Data.

Utilizing Ensemble, Data Sampling and Feature Selection Techniques for Improving Classification Performance on Tweet Sentiment Data

Taghi M. Khoshgoftaar, Amri Napolitano, Joseph D. Prusa, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Comparing Approaches for Combining Data Sampling and Feature Selection to Address Key Data Quality Issues in Tweet Sentiment Analysis

Taghi M. Khoshgoftaar, Joseph D. Prusa, 2016, FLAIRS Conference.

Reducing Feature Set Explosion to Facilitate Real-World Review Spam Detection

Taghi M. Khoshgoftaar, Joseph D. Prusa, Michael Crawford, 2016, FLAIRS Conference.

Necessity of Feature Selection when Augmenting Tweet Sentiment Feature Spaces with Emoticons

Taghi M. Khoshgoftaar, Amri Napolitano, Joseph D. Prusa, 2016, FLAIRS.

Designing a Better Data Representation for Deep Neural Networks and Text Classification

Joseph D. Prusa, Taghi M. Khoshgoftaar, T. Khoshgoftaar, 2016, 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI).

The Effect of Dataset Size on Training Tweet Sentiment Classifiers

Taghi M. Khoshgoftaar, Naeem Seliya, Joseph D. Prusa, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Extracting Knowledge from Technical Reports for the Valuation of West Texas Intermediate Crude Oil Futures

Joseph D. Prusa, T. Khoshgoftaar, Ryan Sagul, 2018, Information Systems Frontiers.

Social media for polling and predicting United States election outcome

Joseph D. Prusa, T. Khoshgoftaar, Brian Heredia, 2018, Social Network Analysis and Mining.

Survey of review spam detection using machine learning techniques

Joseph D. Prusa, Aaron N. Richter, Hamzah Al Najada, 2015, Journal of Big Data.

Improving deep neural network design with new text data representations

Joseph D. Prusa, T. Khoshgoftaar, 2017, Journal of Big Data.

Low-shot learning and class imbalance: a survey

Joseph D. Prusa, T. Khoshgoftaar, Preston Billion Polak, 2024, J. Big Data.