A survey on addressing high-class imbalance in big data. - Joffrey L. Leevy; Taghi M. Khoshgoftaar; Richard A. Bauder; Naeem Seliya (J. Big Data, 2018)

Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data. - Tawfiq Hasanin; Taghi M. Khoshgoftaar; Joffrey L. Leevy; Naeem Seliya (BigDataService, 2019)

The Effect of Time on the Maintenance of a Predictive Model. - Joffrey L. Leevy; Taghi M. Khoshgoftaar; Richard A. Bauder; Naeem Seliya (ICMLA, 2019)

A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data. - Tawfiq Hasanin; Taghi M. Khoshgoftaar; Joffrey L. Leevy (IRI, 2019)

Severely imbalanced Big Data challenges: investigating data sampling approaches. - Tawfiq Hasanin; Taghi M. Khoshgoftaar; Joffrey L. Leevy; Richard A. Bauder (J. Big Data, 2019)

Examining characteristics of predictive models with imbalanced big data. - Tawfiq Hasanin; Taghi M. Khoshgoftaar; Joffrey L. Leevy; Naeem Seliya (J. Big Data, 2019)

Detecting Cybersecurity Attacks Using Different Network Features with LightGBM and XGBoost Learners. - Joffrey L. Leevy; John T. Hancock; Richard Zuech; Taghi M. Khoshgoftaar (CogMI, 2020)

A Short Survey of LSTM Models for De-identification of Medical Free Text. - Joffrey L. Leevy; Taghi M. Khoshgoftaar (CIC, 2020)

Investigating class rarity in big data. - Tawfiq Hasanin; Taghi M. Khoshgoftaar; Joffrey L. Leevy; Richard A. Bauder (J. Big Data, 2020)

A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data. - Joffrey L. Leevy; Taghi M. Khoshgoftaar (J. Big Data, 2020)

Investigating the relationship between time and predictive model maintenance. - Joffrey L. Leevy; Taghi M. Khoshgoftaar; Richard A. Bauder; Naeem Seliya (J. Big Data, 2020)

Survey on RNN and CRF models for de-identification of medical free text. - Joffrey L. Leevy; Taghi M. Khoshgoftaar; Flavio Villanustre (J. Big Data, 2020)

Mitigating Class Imbalance for IoT Network Intrusion Detection: A Survey. - Joffrey L. Leevy; Taghi M. Khoshgoftaar; Jared M. Peterson (BigDataService, 2021)

An Easy-to-Classify Approach for the Bot-IoT Dataset. - Joffrey L. Leevy; John T. Hancock; Taghi M. Khoshgoftaar; Jared M. Peterson (CogMI, 2021)

IoT Reconnaissance Attack Classification with Random Undersampling and Ensemble Feature Selection. - Joffrey L. Leevy; John T. Hancock; Taghi M. Khoshgoftaar; Naeem Seliya (CIC, 2021)

Detecting SSH and FTP Brute Force Attacks in Big Data. - John T. Hancock; Taghi M. Khoshgoftaar; Joffrey L. Leevy (ICMLA, 2021)

Detecting Information Theft Attacks in the Bot-IoT Dataset. - Joffrey L. Leevy; John T. Hancock; Taghi M. Khoshgoftaar; Jared M. Peterson (ICMLA, 2021)

Feature Extraction for Class Imbalance Using a Convolutional Autoencoder and Data Sampling. - Zahra Salekshahrezaee; Joffrey L. Leevy; Taghi M. Khoshgoftaar (ICTAI, 2021)

A Review and Analysis of the Bot-IoT Dataset. - Jared M. Peterson; Joffrey L. Leevy; Taghi M. Khoshgoftaar (SOSE, 2021)

Detecting cybersecurity attacks across different network features and learners. - Joffrey L. Leevy; John T. Hancock; Richard Zuech; Taghi M. Khoshgoftaar (J. Big Data, 2021)

A reconstruction error-based framework for label noise detection. - Zahra Salekshahrezaee; Joffrey L. Leevy; Taghi M. Khoshgoftaar (J. Big Data, 2021)

Evaluating Performance Metrics for Credit Card Fraud Classification. - Joffrey L. Leevy; Taghi M. Khoshgoftaar; John T. Hancock (ICTAI, 2022)

A Class-Imbalanced Study with Feature Extraction via PCA and Convolutional Autoencoder. - Zahra Salekshahrezaee; Joffrey L. Leevy; Taghi M. Khoshgoftaar (IRI, 2022)

IoT information theft prediction using ensemble feature selection. - Joffrey L. Leevy; John T. Hancock; Taghi M. Khoshgoftaar; Jared M. Peterson (J. Big Data, 2022)

One-Class Classifier Performance: Comparing Majority versus Minority Class Training. - Joffrey L. Leevy; John T. Hancock; Taghi M. Khoshgoftaar; Azadeh Abdollah Zadeh (ICTAI, 2023)

Assessing One-Class and Binary Classification Approaches for Identifying Medicare Fraud. - Joffrey L. Leevy; John T. Hancock; Taghi M. Khoshgoftaar (IRI, 2023)

The effect of feature extraction and data sampling on credit card fraud detection. - Zahra Salekshahrezaee; Joffrey L. Leevy; Taghi M. Khoshgoftaar (J. Big Data, 2023)

An approach to application-layer DoS detection. - Clifford Kemp; Chad Calvert; Taghi M. Khoshgoftaar; Joffrey L. Leevy (J. Big Data, 2023)

Comparative analysis of binary and one-class classification techniques for credit card fraud data. - Joffrey L. Leevy; John T. Hancock; Taghi M. Khoshgoftaar (J. Big Data, 2023)

Investigating the effectiveness of one-class and binary classification for fraud detection. - Joffrey L. Leevy; John T. Hancock; Taghi M. Khoshgoftaar; Azadeh Abdollah Zadeh (J. Big Data, 2023)

Threshold optimization and random undersampling for imbalanced credit card data. - Joffrey L. Leevy; Justin M. Johnson; John T. Hancock; Taghi M. Khoshgoftaar (J. Big Data, 2023)

A Review of Unsupervised Anomaly Detection Techniques for Health Insurance Fraud. - Joffrey L. Leevy; Zahra Salekshahrezaee; Taghi M. Khoshgoftaar (BigDataService, 2024)

Advancing machine learning with OCR2SEQ: an innovative approach to multi-modal data augmentation. - Michael Lowe; Joseph D. Prusa; Joffrey L. Leevy; Taghi M. Khoshgoftaar (J. Big Data, 2024)

A Survey on Statistical and ML-Based Demand Forecasting Methods for Spare Parts in Aviation. - Chelsea M. Zuvieta; Joffrey L. Leevy; Taghi M. Khoshgoftaar (IEEE Access, 2025)