Intrusion detection using neuarl networks trained by differential evaluation algorithm. - Zahra Salek; Fariborz Mousavi Madani; Reza Azmi (ISCISC, 2013)

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

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

A Novel Approach for Unsupervised Learning of Highly-Imbalanced Data. - Robert K. L. Kennedy; Zahra Salekshahrezaee; Taghi M. Khoshgoftaar (CogMI, 2022)

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

COVID-19 Classification Using Deep Learning Two-Stage Approach. - Mostapha Alsaidi; Ali Salem Altaher; Muhammad Tanveer Jan; Ahmed Altaher; Zahra Salekshahrezaee (CoRR, 2022)

Unsupervised Anomaly Detection of Class Imbalanced Cognition Data Using an Iterative Cleaning Method. - Robert K. L. Kennedy; Zahra Salekshahrezaee; 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)

Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning. - Robert K. L. Kennedy; Zahra Salekshahrezaee; Flavio Villanustre; 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)

Synthesizing class labels for highly imbalanced credit card fraud detection data. - Robert K. L. Kennedy; Flavio Villanustre; Taghi M. Khoshgoftaar; Zahra Salekshahrezaee (J. Big Data, 2024)