Joffrey  Leevy

Joffrey Leevy

Visiting Instructor

Education

  • PhD (2022) Computer Science, Florida Atlantic University
  • MS (2012) Management Information Systems/Information Security, Nova Southeastern University
  • BS (1994) Civil Engineering, University of the West Indies

Intellectual Contributions

  • Leevy, Joffrey; Hancock, John; Khoshgoftaar, Taghi. Medicare fraud detection: a comparative study on the effectiveness of one-class and binary classification models (forthcoming), International Journal of Computers and Applications, 1-6
  • Leevy, Joffrey; Hancock, John; Khoshgoftaar, Taghi; Zadeh, Azadeh. (2025). One-class classification for credit card fraud detection: A detailed study with comparative insights from binary classification, Springer, 117-140
  • Lowe, Michael; Prusa, Joseph; Leevy, Joffrey; Khoshgoftaar, Taghi. (2024). Context-Relevant Denoising for Unsupervised Domain-Adapted Sentence Embeddings, 2024 IEEE International Conference on Information Reuse and Integration for Data Science (IRI), 13-18
  • Leevy, Joffrey; Khoshgoftaar, Taghi; Salekshahrezaee, Zahra. (2024). A Review of Unsupervised Anomaly Detection Techniques for Health Insurance Fraud, 2024 IEEE 10th International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService), 141-149
  • Lowe, Michael; Prusa, Joseph; Leevy, Joffrey; Khoshgoftaar, Taghi. (2024). Advancing machine learning with OCR2SEQ: an innovative approach to multi-modal data augmentation, Journal of Big Data, 11(1), Article: 86
  • Leevy, Joffrey; Hancock, John; Khoshgoftaar, Taghi; Zadeh, Azadeh. (2023). Investigating the effectiveness of one-class and binary classification for fraud detection, Journal of Big Data, 10(1), 1-16
  • Salekshahrezaee, Zahra; Leevy, Joffrey; Khoshgoftaar, Taghi. (2023). The effect of feature extraction and data sampling on credit card fraud detection, Journal of Big Data, 10(1), 1-17
  • Leevy, Joffrey; Khoshgoftaar, Taghi; Hancock, John. (2023). Using Random Undersampling and Ensemble Feature Selection for IoT Attack Prediction, International Journal of Reliability, Quality and Safety Engineering, 31(1)
  • Leevy, Joffrey; Hancock, John; Khoshgoftaar, Taghi; Zadeh, Azadeh. (2023). One-Class Classifier Performance: Comparing Majority versus Minority Class Training, 2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI), 86-91
  • Leevy, Joffrey; Hancock, John; Khoshgoftaar, Taghi. (2023). Assessing One-Class and Binary Classification Approaches for Identifying Medicare Fraud, 2023 IEEE 24th International Conference on Information Reuse and Integration for Data Science (IRI), 267-272
  • Leevy, Joffrey; Hancock, John; Khoshgoftaar, Taghi. (2023). Comparative analysis of binary and one-class classification techniques for credit card fraud data, Journal of Big Data, 10(1), Article: 118
  • Leevy, Joffrey; Johnson, Justin; Hancock, John; Khoshgoftaar, Taghi. (2023). Threshold optimization and random undersampling for imbalanced credit card data, Journal of Big Data, 10(1), Article: 58
  • Kemp, Cliff; Calvert, Chad; Khoshgoftaar, Taghi; Leevy, Joffrey. (2023). An approach to application-layer DoS detection, International Journal of Internet of Things and Cyber-Assurance, 10(1), Article: 22
  • Leevy, Joffrey; Hancock, John; Khoshgoftaar, Taghi; Peterson, Jared. (2022). IoT information theft prediction using ensemble feature selection, Journal of Big Data, 9(1), 1-48
  • Peterson, Jared; Khoshgoftaar, Taghi; Leevy, Joffrey. (2022). Composition analysis of the Bot-IoT dataset, International Journal of Internet of Things and Cyber-Assurance, 2(1), 31-44
  • Leevy, Joffrey; Khoshgoftaar, Taghi; Hancock, John. (2022). Feature evaluation for IoT botnet traffic classification, International Journal of Internet of Things and Cyber-Assurance, 2(1), 87-102
  • Leevy, Joffrey; Khoshgoftaar, Taghi; Hancock, John. (2022). IoT attack prediction using big Bot-IoT data, International Journal of Internet of Things and Cyber-Assurance, 2(1), 45-61
  • Leevy, Joffrey; Khoshgoftaar, Taghi; Hancock, John. (2022). Evaluating Performance Metrics for Credit Card Fraud Classification, 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI), 1336-1341
  • Salekshahrezaee, Zahra; Leevy, Joffrey; Khoshgoftaar, Taghi. (2022). A Class-Imbalanced Study with Feature Extraction via PCA and Convolutional Autoencoder, 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI), 63-68
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