Joffrey L. Leevy

发表

Examining characteristics of predictive models with imbalanced big data

Taghi M. Khoshgoftaar, Naeem Seliya, Tawfiq Hasanin, 2019, Journal of Big Data.

A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data

Taghi M. Khoshgoftaar, Joffrey L. Leevy, T. Khoshgoftaar, 2020, J. Big Data.

Taghi M. Khoshgoftaar, Tawfiq Hasanin, Joffrey L. Leevy, 2020, Journal of Big Data.

A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data

Taghi M. Khoshgoftaar, Tawfiq Hasanin, Joffrey L. Leevy, 2019, 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI).

Severely imbalanced Big Data challenges: investigating data sampling approaches

Taghi M. Khoshgoftaar, Richard A. Bauder, Tawfiq Hasanin, 2019, Journal of Big Data.

A Short Survey of LSTM Models for De-identification of Medical Free Text

Taghi M. Khoshgoftaar, Joffrey L. Leevy, T. Khoshgoftaar, 2020, 2020 IEEE 6th International Conference on Collaboration and Internet Computing (CIC).

Detecting Cybersecurity Attacks Using Different Network Features with LightGBM and XGBoost Learners

Taghi M. Khoshgoftaar, Joffrey L. Leevy, Richard Zuech, 2020, 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI).

A survey on addressing high-class imbalance in big data

Taghi M. Khoshgoftaar, Naeem Seliya, Richard A. Bauder, 2018, Journal of Big Data.

Survey on RNN and CRF models for de-identification of medical free text

Taghi M. Khoshgoftaar, Flavio Villanustre, Joffrey L. Leevy, 2020, J. Big Data.

Investigating the relationship between time and predictive model maintenance

Taghi M. Khoshgoftaar, Naeem Seliya, Joffrey L. Leevy, 2020, Journal of Big Data.

A Review and Analysis of the Bot-IoT Dataset

Taghi M. Khoshgoftaar, Joffrey L. Leevy, Jared M. Peterson, 2021, 2021 IEEE International Conference on Service-Oriented System Engineering (SOSE).

A reconstruction error-based framework for label noise detection

Taghi M. Khoshgoftaar, Joffrey L. Leevy, Zahra Salekshahrezaee, 2021, J. Big Data.

Detecting cybersecurity attacks across different network features and learners

Taghi M. Khoshgoftaar, Joffrey L. Leevy, Richard Zuech, 2021, Journal of Big Data.

Feature Extraction for Class Imbalance Using a Convolutional Autoencoder and Data Sampling

Taghi M. Khoshgoftaar, Joffrey L. Leevy, Zahra Salekshahrezaee, 2021, 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI).

IoT information theft prediction using ensemble feature selection

Taghi M. Khoshgoftaar, Joffrey L. Leevy, John Hancock, 2022, Journal of Big Data.

Mitigating Class Imbalance for IoT Network Intrusion Detection: A Survey

Taghi M. Khoshgoftaar, Joffrey L. Leevy, Jared M. Peterson, 2021, 2021 IEEE Seventh International Conference on Big Data Computing Service and Applications (BigDataService).

High-Flux, Low-Fouling Membrane System for Wastewater Recycle in Space Missions

Joffrey L. Leevy, Kimberly L. Jones, Samantha LaHee, 2004 .

Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data

Taghi M. Khoshgoftaar, Naeem Seliya, Tawfiq Hasanin, 2019, 2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService).

A survey on addressing high-class imbalance in big data

Richard A. Bauder, Joffrey L. Leevy, T. Khoshgoftaar, 2018, Journal of Big Data.

Investigating the relationship between time and predictive model maintenance

Richard A. Bauder, Joffrey L. Leevy, T. Khoshgoftaar, 2020, Journal of Big Data.

The Effect of Time on the Maintenance of a Predictive Model

Naeem Seliya, Richard A. Bauder, Joffrey L Leevy, 2019, 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA).

Severely imbalanced Big Data challenges: investigating data sampling approaches

Richard A. Bauder, Joffrey L. Leevy, T. Khoshgoftaar, 2019, Journal of Big Data.

The effect of feature extraction and data sampling on credit card fraud detection

Joffrey L. Leevy, T. Khoshgoftaar, Zahra Salekshahrezaee, 2023, Journal of Big Data.

Investigating class rarity in big data

Richard A. Bauder, Joffrey L. Leevy, T. Khoshgoftaar, 2020, Journal of Big Data.

Comparative analysis of binary and one-class classification techniques for credit card fraud data

Joffrey L. Leevy, John T. Hancock, T. Khoshgoftaar, 2023, Journal of Big Data.

An approach to application-layer DoS detection

Joffrey L. Leevy, Chad L. Calvert, T. Khoshgoftaar, 2023, Journal of Big Data.

Examining characteristics of predictive models with imbalanced big data

Joffrey L. Leevy, T. Khoshgoftaar, Naeem Seliya, 2019, Journal of Big Data.

A Class-Imbalanced Study with Feature Extraction via PCA and Convolutional Autoencoder

Joffrey L. Leevy, T. Khoshgoftaar, Zahra Salekshahrezaee, 2022, 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI).

Threshold optimization and random undersampling for imbalanced credit card data

Joffrey L. Leevy, John T. Hancock, T. Khoshgoftaar, 2023, Journal of Big Data.

Detecting Information Theft Attacks in the Bot-IoT Dataset

Joffrey L. Leevy, John T. Hancock, Jared M. Peterson, 2021, 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).

Assessing One-Class and Binary Classification Approaches for Identifying Medicare Fraud

Joffrey L. Leevy, John T. Hancock, T. Khoshgoftaar, 2023, 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI).

A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data

Joffrey L. Leevy, T. Khoshgoftaar, 2020, Journal of Big Data.