Classification using first-stage rank nearest neighbor rule for multiple classes. - Subhash C. Bagui (Pattern Recognit. Lett., 1993)

Classification of multiple observations using a rank nearest neighbor rule. - Subhash C. Bagui (Pattern Recognit. Lett., 1993)

A multistage generalization of the rank nearest neighbor classification rule. - Subhash C. Bagui; Nikhil R. Pal (Pattern Recognit. Lett., 1995)

Breast cancer detection using rank nearest neighbor classification rules. - Subhash C. Bagui; Sikha Bagui; Kuhu Pal; Nikhil R. Pal (Pattern Recognit., 2003)

Combining Pattern Classifiers: Methods and Algorithms. - Subhash C. Bagui (Technometrics, 2005)

Deriving strong association mining rules using a dependency criterion, the lift measure. - Sikha Bagui; Jiri Just; Subhash C. Bagui (Int. J. Data Anal. Tech. Strateg., 2009)

Using a cosine-type measure to derive strong association mining rules. - Sikha Bagui; Jiri Just; Subhash C. Bagui; Rohan Hemasinha (Int. J. Knowl. Eng. Data Min., 2010)

An Architecture for Query Optimization Using Association Rule Mining. - Sikha Bagui; Mohammad Islam; Subhash C. Bagui (Int. J. Knowl. Based Organ., 2011)

Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning models. - Xingang Fang; Sikha Bagui; Subhash C. Bagui (Comput. Biol. Chem., 2017)

Optimal Structure (k) Designs for Comparing Test Treatments with a Control. - M. A. Chowdhury; Saumen Mandal; D. K. Ghosh; Subhash C. Bagui (J. Stat. Theory Appl., 2017)

Using locality sensitive hashing to improve the KNN algorithm in the mapreduce framework. - Sikha Bagui; Arup Kumar Mondal; Subhash C. Bagui (ACM Southeast Regional Conference, 2018)

A hybrid genetic algorithm for network intrusion detection. - Sikha Bagui; Debarghya Nandi; Subhash C. Bagui (ACM Southeast Regional Conference, 2018)

A Parallel Implementation of Information Gain Using Hive in Conjunction with MapReduce for Continuous Features. - Sikha Bagui; Sharon K. John; John P. Baggs; Subhash C. Bagui (PAKDD (Workshops), 2018)

Classifying Phishing Email Using Machine Learning and Deep Learning. - Sikha Bagui; Debarghya Nandi; Subhash C. Bagui; Robert Jamie White (Cyber Security, 2019)

Improving the Performance of kNN in the MapReduce Framework Using Locality Sensitive Hashing. - Sikha Bagui; Arup Kumar Mondal; Subhash C. Bagui (Int. J. Distributed Syst. Technol., 2019)

Using machine learning techniques to identify rare cyber-attacks on the UNSW-NB15 dataset. - Sikha Bagui; Ezhil Kalaimannan; Subhash C. Bagui; Debarghya Nandi; Anthony Pinto (Secur. Priv., 2019)

Classifying UNSW-NB15 Network Traffic in the Big Data Framework Using Random Forest in Spark. - Sikha Bagui; Jason Simonds; Russell Plenkers; Timothy A. Bennett; Subhash C. Bagui (Int. J. Big Data Intell. Appl., 2021)

Binary Classification of Network-Generated Flow Data Using a Machine Learning Algorithm. - Sikha Bagui; Keenal M. Shah; Yizhi Hu; Subhash C. Bagui (Int. J. Inf. Secur. Priv., 2021)

Detecting Reconnaissance and Discovery Tactics from the MITRE ATT&CK Framework in Zeek Conn Logs Using Spark's Machine Learning in the Big Data Framework. - Sikha Bagui; Dustin Mink; Subhash C. Bagui; Tirthankar Ghosh; Tom McElroy; Esteban Paredes; Nithisha Khasnavis; Russell Plenkers (Sensors, 2022)

Introducing UWF-ZeekData22: A Comprehensive Network Traffic Dataset Based on the MITRE ATT&CK Framework. - Sikha Bagui; Dustin Mink; Subhash C. Bagui; Tirthankar Ghosh; Russell Plenkers; Tom McElroy; Stephan Dulaney; Sajida Shabanali (Data, 2023)

Resampling Imbalanced Network Intrusion Datasets to Identify Rare Attacks. - Sikha Bagui; Dustin Mink; Subhash C. Bagui; Sakthivel Subramaniam; Daniel Wallace (Future Internet, 2023)

Using a Graph Engine to Visualize the Reconnaissance Tactic of the MITRE ATT&CK Framework from UWF-ZeekData22. - Sikha Bagui; Dustin Mink; Subhash C. Bagui; Michael Plain; Jadarius Hill; Marshall Elam (Future Internet, 2023)

Determining Resampling Ratios Using BSMOTE and SVM-SMOTE for Identifying Rare Attacks in Imbalanced Cybersecurity Data. - Sikha Bagui; Dustin Mink; Subhash C. Bagui; Sakthivel Subramaniam (Comput., 2023)

Anomaly Detection for Modbus over TCP in Control Systems Using Entropy and Classification-Based Analysis. - Tirthankar Ghosh; Sikha Bagui; Subhash C. Bagui; Martin Kadzis; Jackson Bare (J. Cybersecur. Priv., 2023)

Alternative tests for the significance of the intraclass correlation coefficients under unequal family sizes. - Subhamoy Pal; Rong Luo; Subhash C. Bagui; Sudhir Paul (Commun. Stat. Simul. Comput., 2024)

Node Classification of Network Threats Leveraging Graph-Based Characterizations Using Memgraph. - Sadaf Charkhabi; Peyman Samimi; Sikha Bagui; Dustin Mink; Subhash C. Bagui (Comput., 2024)

Extended Isolation Forest for Intrusion Detection in Zeek Data. - Fariha Moomtaheen; Sikha Bagui; Subhash C. Bagui; Dustin Mink (Inf., 2024)