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ORCIDJoffrey L. Leevy
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Journal Articles
- 2024
[j16]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)- 2023
- [j15]Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar:
The effect of feature extraction and data sampling on credit card fraud detection. J. Big Data 10(1): 6 (2023) - [j14]Clifford Kemp, Chad Calvert, Taghi M. Khoshgoftaar, Joffrey L. Leevy:
An approach to application-layer DoS detection. J. Big Data 10(1): 22 (2023) - [j13]Joffrey L. Leevy, Justin M. Johnson, John T. Hancock, Taghi M. Khoshgoftaar:
Threshold optimization and random undersampling for imbalanced credit card data. J. Big Data 10(1): 58 (2023) - [j12]Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar:
Comparative analysis of binary and one-class classification techniques for credit card fraud data. J. Big Data 10(1): 118 (2023) - [j11]Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh:
Investigating the effectiveness of one-class and binary classification for fraud detection. J. Big Data 10(1): 157 (2023) - 2022
- [j10]Joffrey L. Leevy
, John T. Hancock, Taghi M. Khoshgoftaar, Jared M. Peterson:
IoT information theft prediction using ensemble feature selection. J. Big Data 9(1): 6 (2022) - 2021
- [j9]Joffrey L. Leevy, John T. Hancock, Richard Zuech, Taghi M. Khoshgoftaar:
Detecting cybersecurity attacks across different network features and learners. J. Big Data 8(1): 1-29 (2021) - [j8]Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar:
A reconstruction error-based framework for label noise detection. J. Big Data 8(1): 1-16 (2021) - 2020
- [j7]Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Richard A. Bauder:
Investigating class rarity in big data. J. Big Data 7(1): 23 (2020) - [j6]Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya:
Investigating the relationship between time and predictive model maintenance. J. Big Data 7(1): 36 (2020) - [j5]Joffrey L. Leevy, Taghi M. Khoshgoftaar, Flavio Villanustre:
Survey on RNN and CRF models for de-identification of medical free text. J. Big Data 7(1): 73 (2020) - [j4]Joffrey L. Leevy, Taghi M. Khoshgoftaar:
A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data. J. Big Data 7(1): 104 (2020) - 2019
- [j3]Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Naeem Seliya:
Examining characteristics of predictive models with imbalanced big data. J. Big Data 6: 69 (2019) - [j2]Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Richard A. Bauder:
Severely imbalanced Big Data challenges: investigating data sampling approaches. J. Big Data 6: 107 (2019) - 2018
- [j1]Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya:
A survey on addressing high-class imbalance in big data. J. Big Data 5: 42 (2018)
Conference and Workshop Papers
- 2024
- [c17]Joffrey L. Leevy, Zahra Salekshahrezaee, Taghi M. Khoshgoftaar:
A Review of Unsupervised Anomaly Detection Techniques for Health Insurance Fraud. BigDataService 2024: 141-149 - 2023
- [c16]Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh:
One-Class Classifier Performance: Comparing Majority versus Minority Class Training. ICTAI 2023: 86-91 - [c15]Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar:
Assessing One-Class and Binary Classification Approaches for Identifying Medicare Fraud. IRI 2023: 267-272 - 2022
- [c14]Joffrey L. Leevy, Taghi M. Khoshgoftaar, John T. Hancock:
Evaluating Performance Metrics for Credit Card Fraud Classification. ICTAI 2022: 1336-1341 - [c13]Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar:
A Class-Imbalanced Study with Feature Extraction via PCA and Convolutional Autoencoder. IRI 2022: 63-68 - 2021
- [c12]Joffrey L. Leevy, Taghi M. Khoshgoftaar, Jared M. Peterson:
Mitigating Class Imbalance for IoT Network Intrusion Detection: A Survey. BigDataService 2021: 143-148 - [c11]Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Jared M. Peterson:
An Easy-to-Classify Approach for the Bot-IoT Dataset. CogMI 2021: 172-179 - [c10]Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Naeem Seliya:
IoT Reconnaissance Attack Classification with Random Undersampling and Ensemble Feature Selection. CIC 2021: 41-49 - [c9]John T. Hancock, Taghi M. Khoshgoftaar, Joffrey L. Leevy:
Detecting SSH and FTP Brute Force Attacks in Big Data. ICMLA 2021: 760-765 - [c8]Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Jared M. Peterson:
Detecting Information Theft Attacks in the Bot-IoT Dataset. ICMLA 2021: 807-812 - [c7]Zahra Salekshahrezaee, Joffrey L. Leevy, Taghi M. Khoshgoftaar:
Feature Extraction for Class Imbalance Using a Convolutional Autoencoder and Data Sampling. ICTAI 2021: 217-223 - [c6]Jared M. Peterson, Joffrey L. Leevy, Taghi M. Khoshgoftaar:
A Review and Analysis of the Bot-IoT Dataset. SOSE 2021: 20-27 - 2020
- [c5]Joffrey L. Leevy, John T. Hancock, Richard Zuech, Taghi M. Khoshgoftaar:
Detecting Cybersecurity Attacks Using Different Network Features with LightGBM and XGBoost Learners. CogMI 2020: 190-197 - [c4]Joffrey L. Leevy, Taghi M. Khoshgoftaar:
A Short Survey of LSTM Models for De-identification of Medical Free Text. CIC 2020: 117-124 - 2019
- [c3]Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Naeem Seliya:
Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data. BigDataService 2019: 346-356 - [c2]Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya:
The Effect of Time on the Maintenance of a Predictive Model. ICMLA 2019: 1891-1896 - [c1]Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy:
A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data. IRI 2019: 83-88
Coauthor Index
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last updated on 2024-11-08 20:30 CET by the dblp team
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