John T. Hancock

44 papers B 3C 6Misc 8Journal 19Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	A New and Effective Technique for Unsupervised Labeling and Feature Selection with Applications in Healthcare Fraud Detection. IRI John T. Hancock, Robert K. L. Kennedy, Mary Anne Walauskis, Taghi M. Khoshgoftaar
2025	J	`jnl`	A problem-agnostic approach to feature selection and analysis using SHAP. J. Big Data John T. Hancock, Taghi M. Khoshgoftaar, Qianxin Liang
2025	J	`jnl`	Evaluating the Impact of Majority versus Minority Class Training for One-Class Classification. Int. J. Artif. Intell. Tools Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh
2025	J	`jnl`	SHAP as a Data Reduction Technique for Highly Imbalanced Big Data. Int. J. Artif. Intell. Tools John T. Hancock, Richard A. Bauder, Taghi M. Khoshgoftaar
2024	J	`jnl`	Data reduction techniques for highly imbalanced medicare Big Data. J. Big Data John T. Hancock, Huanjing Wang, Taghi M. Khoshgoftaar, Qianxin Liang
2024	J	`jnl`	Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods. J. Big Data Huanjing Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar
2023	—	`conf`	A Comparative Study of Model-Agnostic and Importance-Based Feature Selection Approaches. CogMI Huanjing Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar
2023	B	`conf`	A Model-Agnostic Feature Selection Technique to Improve the Performance of One-Class Classifiers. ICTAI John T. Hancock, Richard A. Bauder, Taghi M. Khoshgoftaar
2023	Misc	`conf`	Assessing One-Class and Binary Classification Approaches for Identifying Medicare Fraud. IRI Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar
2023	J	`jnl`	Comparative analysis of binary and one-class classification techniques for credit card fraud data. J. Big Data Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar
2023	C	`conf`	Data Reduction to Improve the Performance of One-Class Classifiers on Highly Imbalanced Big Data. ICMLA John T. Hancock, Taghi M. Khoshgoftaar
2023	Misc	`conf`	Enhancing Credit Card Fraud Detection Through a Novel Ensemble Feature Selection Technique. IRI Huanjing Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar
2023	J	`jnl`	Evaluating classifier performance with highly imbalanced Big Data. J. Big Data John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson
2023	J	`jnl`	Explainable machine learning models for Medicare fraud detection. J. Big Data John T. Hancock, Richard A. Bauder, Huanjing Wang, Taghi M. Khoshgoftaar
2023	J	`jnl`	Exploring Maximum Tree Depth and Random Undersampling in Ensemble Trees to Optimize the Classification of Imbalanced Big Data. SN Comput. Sci. John T. Hancock, Taghi M. Khoshgoftaar
2023	—	`conf`	Improving Medicare Fraud Detection through Big Data Size Reduction Techniques. SOSE Huanjing Wang, John T. Hancock, Taghi M. Khoshgoftaar
2023	J	`jnl`	Investigating the effectiveness of one-class and binary classification for fraud detection. J. Big Data Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh
2023	B	`conf`	One-Class Classifier Performance: Comparing Majority versus Minority Class Training. ICTAI Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Azadeh Abdollah Zadeh
2023	J	`jnl`	Threshold optimization and random undersampling for imbalanced credit card data. J. Big Data Joffrey L. Leevy, Justin M. Johnson, John T. Hancock, Taghi M. Khoshgoftaar
2022	—	`conf`	A Comparative Approach to Threshold Optimization for Classifying Imbalanced Data. CIC John T. Hancock, Justin M. Johnson, Taghi M. Khoshgoftaar
2022	J	`jnl`	A new feature popularity framework for detecting cyberattacks using popular features. J. Big Data Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
2022	B	`conf`	Evaluating Performance Metrics for Credit Card Fraud Classification. ICTAI Joffrey L. Leevy, Taghi M. Khoshgoftaar, John T. Hancock
2022	J	`jnl`	Hyperparameter Tuning for Medicare Fraud Detection in Big Data. SN Comput. Sci. John T. Hancock, Taghi M. Khoshgoftaar
2022	C	`conf`	Informative Evaluation Metrics for Highly Imbalanced Big Data Classification. ICMLA John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson
2022	J	`jnl`	IoT information theft prediction using ensemble feature selection. J. Big Data Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Jared M. Peterson
2022	Misc	`conf`	Optimizing Ensemble Trees for Big Data Healthcare Fraud Detection. IRI John T. Hancock, Taghi M. Khoshgoftaar
2022	—	`conf`	The Effects of Random Undersampling for Big Data Medicare Fraud Detection. SOSE John T. Hancock, Taghi M. Khoshgoftaar, Justin M. Johnson
2021	—	`conf`	An Easy-to-Classify Approach for the Bot-IoT Dataset. CogMI Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Jared M. Peterson
2021	C	`conf`	Detecting Information Theft Attacks in the Bot-IoT Dataset. ICMLA Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Jared M. Peterson
2021	Misc	`conf`	Detecting SQL Injection Web Attacks Using Ensemble Learners and Data Sampling. CSR Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
2021	C	`conf`	Detecting SSH and FTP Brute Force Attacks in Big Data. ICMLA John T. Hancock, Taghi M. Khoshgoftaar, Joffrey L. Leevy
2021	Misc	`conf`	Detecting Web Attacks in Severely Imbalanced Network Traffic Data. IRI Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
2021	J	`jnl`	Detecting cybersecurity attacks across different network features and learners. J. Big Data Joffrey L. Leevy, John T. Hancock, Richard Zuech, Taghi M. Khoshgoftaar
2021	J	`jnl`	Detecting web attacks using random undersampling and ensemble learners. J. Big Data Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
2021	C	`conf`	Feature Popularity Between Different Web Attacks with Supervised Feature Selection Rankers. ICMLA Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
2021	J	`jnl`	Gradient Boosted Decision Tree Algorithms for Medicare Fraud Detection. SN Comput. Sci. John T. Hancock, Taghi M. Khoshgoftaar
2021	Misc	`conf`	Impact of Hyperparameter Tuning in Classifying Highly Imbalanced Big Data. IRI John T. Hancock, Taghi M. Khoshgoftaar
2021	—	`conf`	IoT Reconnaissance Attack Classification with Random Undersampling and Ensemble Feature Selection. CIC Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Naeem Seliya
2021	—	`conf`	Leveraging LightGBM for Categorical Big Data. BigDataService John T. Hancock, Taghi M. Khoshgoftaar
2020	J	`jnl`	CatBoost for big data: an interdisciplinary review. J. Big Data John T. Hancock, Taghi M. Khoshgoftaar
2020	—	`conf`	Detecting Cybersecurity Attacks Using Different Network Features with LightGBM and XGBoost Learners. CogMI Joffrey L. Leevy, John T. Hancock, Richard Zuech, Taghi M. Khoshgoftaar
2020	Misc	`conf`	Medicare Fraud Detection using CatBoost. IRI John T. Hancock, Taghi M. Khoshgoftaar
2020	C	`conf`	Performance of CatBoost and XGBoost in Medicare Fraud Detection. ICMLA John T. Hancock, Taghi M. Khoshgoftaar
2020	J	`jnl`	Survey on categorical data for neural networks. J. Big Data John T. Hancock, Taghi M. Khoshgoftaar