Tree-Based Software Quality Estimation Models For Fault Prediction. - Taghi M. Khoshgoftaar; Naeem Seliya (IEEE METRICS, 2002)

Predicting Fault-Prone Modules in Embedded Systems Using Analogy-Based Classification Models. - Taghi M. Khoshgoftaar; Bojan Cukic; Naeem Seliya (Int. J. Softw. Eng. Knowl. Eng., 2002)

Genetic Programming-Based Decision Trees for Software Quality Classification. - Taghi M. Khoshgoftaar; Yi Liu 023; Naeem Seliya (ICTAI, 2003)

Fault Prediction Modeling for Software Quality Estimation: Comparing Commonly Used Techniques. - Taghi M. Khoshgoftaar; Naeem Seliya (Empir. Softw. Eng., 2003)

Analogy-Based Practical Classification Rules for Software Quality Estimation. - Taghi M. Khoshgoftaar; Naeem Seliya (Empir. Softw. Eng., 2003)

Software Quality Classification Modeling Using the SPRINT Decision Tree Algorithm. - Taghi M. Khoshgoftaar; Naeem Seliya (Int. J. Artif. Intell. Tools, 2003)

Unsupervised Learning for Expert-Based Software Quality Estimation. - Shi Zhong 001; Taghi M. Khoshgoftaar; Naeem Seliya (HASE, 2004)

Semi-Supervised Learning for Software Quality Estimation. - Naeem Seliya; Taghi M. Khoshgoftaar; Shi Zhong 001 (ICTAI, 2004)

Rule-Based Noise Detection for Software Measurement Data. - Taghi M. Khoshgoftaar; Naeem Seliya; Kehan Gao (IRI, 2004)

Module-Order Modeling using an Evolutionary Multi-Objective Optimization Approach. - Taghi M. Khoshgoftaar; Yi Liu 023; Naeem Seliya (IEEE METRICS, 2004)

The Necessity of Assuring Quality in Software Measurement Data. - Taghi M. Khoshgoftaar; Naeem Seliya (IEEE METRICS, 2004)

Software quality estimation with case-based reasoning. - Taghi M. Khoshgoftaar; Naeem Seliya (Adv. Comput., 2004)

Comparative Assessment of Software Quality Classification Techniques: An Empirical Case Study. - Taghi M. Khoshgoftaar; Naeem Seliya (Empir. Softw. Eng., 2004)

Analyzing Software Measurement Data with Clustering Techniques. - Shi Zhong 001; Taghi M. Khoshgoftaar; Naeem Seliya (IEEE Intell. Syst., 2004)

A multiobjective module-order model for software quality enhancement. - Taghi M. Khoshgoftaar; Yi Liu 023; Naeem Seliya (IEEE Trans. Evol. Comput., 2004)

Analyzing Software Quality with Limited Fault-Proneness Defect Data. - Naeem Seliya; Taghi M. Khoshgoftaar; Shi Zhong 001 (HASE, 2005)

Intrusion detection in wireless networks using clustering techniques with expert analysis. - Taghi M. Khoshgoftaar; Shyam Varan Nath; Shi Zhong 001; Naeem Seliya (ICMLA, 2005)

The partitioning- and rule-based filter for noise detection. - Yudong Xiao; Taghi M. Khoshgoftaar; Naeem Seliya (IRI, 2005)

Assessment of a New Three-Group Software Quality Classification Technique: An Empirical Case Study. - Taghi M. Khoshgoftaar; Naeem Seliya; Kehan Gao (Empir. Softw. Eng., 2005)

Detecting noisy instances with the rule-based classification model. - Taghi M. Khoshgoftaar; Naeem Seliya; Kehan Gao (Intell. Data Anal., 2005)

Resource-oriented software quality classification models. - Taghi M. Khoshgoftaar; Naeem Seliya; Angela Herzberg (J. Syst. Softw., 2005)

Labeling network event records for intrusion detection in a Wireless LAN. - Taghi M. Khoshgoftaar; Chris Seiffert; Naeem Seliya (IRI, 2006)

Detecting Noisy Instances with the Ensemble Filter: a Study in Software Quality Estimation. - Taghi M. Khoshgoftaar; Vedang H. Joshi; Naeem Seliya (Int. J. Softw. Eng. Knowl. Eng., 2006)

Resource oriented selection of rule-based classification models: An empirical case study. - Taghi M. Khoshgoftaar; Angela Herzberg; Naeem Seliya (Softw. Qual. J., 2006)

An empirical study of predicting software faults with case-based reasoning. - Taghi M. Khoshgoftaar; Naeem Seliya; Nandini Sundaresh (Softw. Qual. J., 2006)

Software quality estimation with limited fault data: a semi-supervised learning perspective. - Naeem Seliya; Taghi M. Khoshgoftaar (Softw. Qual. J., 2007)

Software Quality Analysis of Unlabeled Program Modules With Semisupervised Clustering. - Naeem Seliya; Taghi M. Khoshgoftaar (IEEE Trans. Syst. Man Cybern. Part A, 2007)

Addressing Class Imbalance in Non-binary Classification Problems. - Naeem Seliya; Zhiwei Xu 001; Taghi M. Khoshgoftaar (ICTAI (1), 2008)

On the Rarity of Fault-prone Modules in Knowledge-based Software Quality Modeling. - Taghi M. Khoshgoftaar; Naeem Seliya; Dennis J. Drown (SEKE, 2008)

An Adaptive Neural Network with Dynamic Structure for Software Defect Prediction. - Zhiwei Xu 001; Naeem Seliya; Weibiao Wu (SEKE, 2008)

Low-Effort Labeling of Network Events for Intrusion Detection in WLANs. - Taghi M. Khoshgoftaar; Naeem Seliya; Chris Seiffert (Int. J. Artif. Intell. Tools, 2008)

Detecting outsourced student programming assignments. - Bruce S. Elenbogen; Naeem Seliya (J. Comput. Sci. Coll., 2008)

Software Module Risk Analysis. - Taghi M. Khoshgoftaar; Naeem Seliya (Wiley Encyclopedia of Computer Science and Engineering, 2008)

Software Quality Modeling as a Reliability Tool. - Naeem Seliya; Taghi M. Khoshgoftaar (Wiley Encyclopedia of Computer Science and Engineering, 2008)

Name Entity Recognition and Classification in Medical Text Documents. - Yinghao Huang; Naeem Seliya; Yi Lu Murphey; Roy B. Friedenthal (DMIN, 2009)

Mining Data from Multiple Software Development Projects. - Huanjing Wang; Taghi M. Khoshgoftaar; Kehan Gao; Naeem Seliya (ICDM Workshops, 2009)

A Study on the Relationships of Classifier Performance Metrics. - Naeem Seliya; Taghi M. Khoshgoftaar; Jason Van Hulse (ICTAI, 2009)

High-Dimensional Software Engineering Data and Feature Selection. - Huanjing Wang; Taghi M. Khoshgoftaar; Kehan Gao; Naeem Seliya (ICTAI, 2009)

Aggregating Performance Metrics for Classifier Evaluation. - Naeem Seliya; Taghi M. Khoshgoftaar; Jason Van Hulse (IRI, 2009)

Value-Based Software Quality Modeling. - Naeem Seliya; Taghi M. Khoshgoftaar (SEKE, 2009)

Software quality analysis by combining multiple projects and learners. - Taghi M. Khoshgoftaar; Pierre Rebours; Naeem Seliya (Softw. Qual. J., 2009)

Evolutionary Sampling and Software Quality Modeling of High-Assurance Systems. - Dennis J. Drown; Taghi M. Khoshgoftaar; Naeem Seliya (IEEE Trans. Syst. Man Cybern. Part A, 2009)

Classifying Independent Medical Examination Reports using SOM Networks. - Yinghao Huang; Naeem Seliya; Yi Lu Murphey; Roy B. Friedenthal (DMIN, 2010)

Predicting Faults in High Assurance Software. - Naeem Seliya; Taghi M. Khoshgoftaar; Jason Van Hulse (HASE, 2010)

Attribute Selection and Imbalanced Data: Problems in Software Defect Prediction. - Taghi M. Khoshgoftaar; Kehan Gao; Naeem Seliya (ICTAI (1), 2010)

Active learning with neural networks for intrusion detection. - Naeem Seliya; Taghi M. Khoshgoftaar (IRI, 2010)

Evolutionary data analysis for the class imbalance problem. - Taghi M. Khoshgoftaar; Naeem Seliya; Dennis J. Drown (Intell. Data Anal., 2010)

Evolutionary Optimization of Software Quality Modeling with Multiple Repositories. - Yi Liu 023; Taghi M. Khoshgoftaar; Naeem Seliya (IEEE Trans. Software Eng., 2010)

How Many Software Metrics Should be Selected for Defect Prediction? - Huanjing Wang; Taghi M. Khoshgoftaar; Naeem Seliya (FLAIRS, 2011)

Choosing software metrics for defect prediction: an investigation on feature selection techniques. - Kehan Gao; Taghi M. Khoshgoftaar; Huanjing Wang; Naeem Seliya (Softw. Pract. Exp., 2011)

The use of decision trees for cost-sensitive classification: an empirical study in software quality prediction. - Naeem Seliya; Taghi M. Khoshgoftaar (WIREs Data Mining Knowl. Discov., 2011)

Predicting high-risk program modules by selecting the right software measurements. - Kehan Gao; Taghi M. Khoshgoftaar; Naeem Seliya (Softw. Qual. J., 2012)

Machine Learning for Detecting Brute Force Attacks at the Network Level. - Maryam M. Najafabadi; Taghi M. Khoshgoftaar; Clifford Kemp; Naeem Seliya; Richard Zuech (BIBE, 2014)

System regression test planning with a fuzzy expert system. - Zhiwei Xu 001; Kehan Gao; Taghi M. Khoshgoftaar; Naeem Seliya (Inf. Sci., 2014)

A New Intrusion Detection Benchmarking System. - Richard Zuech; Taghi M. Khoshgoftaar; Naeem Seliya; Maryam M. Najafabadi; Clifford Kemp (FLAIRS, 2015)

The Effect of Dataset Size on Training Tweet Sentiment Classifiers. - Joseph D. Prusa; Taghi M. Khoshgoftaar; Naeem Seliya (ICMLA, 2015)

On the Stability of Feature Selection Methods in Software Quality Prediction: An Empirical Investigation. - Huanjing Wang; Taghi M. Khoshgoftaar; Naeem Seliya (Int. J. Softw. Eng. Knowl. Eng., 2015)

Deep learning applications and challenges in big data analytics. - Maryam M. Najafabadi; Flavio Villanustre; Taghi M. Khoshgoftaar; Naeem Seliya; Randall Wald; Edin Muharemagic (J. Big Data, 2015)

Deep Learning Techniques in Big Data Analytics. - Maryam M. Najafabadi; Flavio Villanustre; Taghi M. Khoshgoftaar; Naeem Seliya; Randall Wald; Edin Muharemagic (Big Data Technologies and Applications, 2016)

Enhancing Ensemble Learners with Data Sampling on High-Dimensional Imbalanced Tweet Sentiment Data. - Joseph D. Prusa; Taghi M. Khoshgoftaar; Naeem Seliya (FLAIRS, 2016)

A survey on addressing high-class imbalance in big data. - Joffrey L. Leevy; Taghi M. Khoshgoftaar; Richard A. Bauder; Naeem Seliya (J. Big Data, 2018)

Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data. - Tawfiq Hasanin; Taghi M. Khoshgoftaar; Joffrey L. Leevy; Naeem Seliya (BigDataService, 2019)

The Effect of Time on the Maintenance of a Predictive Model. - Joffrey L. Leevy; Taghi M. Khoshgoftaar; Richard A. Bauder; Naeem Seliya (ICMLA, 2019)

Examining characteristics of predictive models with imbalanced big data. - Tawfiq Hasanin; Taghi M. Khoshgoftaar; Joffrey L. Leevy; Naeem Seliya (J. Big Data, 2019)

Investigating the relationship between time and predictive model maintenance. - Joffrey L. Leevy; Taghi M. Khoshgoftaar; Richard A. Bauder; Naeem Seliya (J. Big Data, 2020)

IoT Reconnaissance Attack Classification with Random Undersampling and Ensemble Feature Selection. - Joffrey L. Leevy; John T. Hancock; Taghi M. Khoshgoftaar; Naeem Seliya (CIC, 2021)

Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes. - Owen Casey; Rushit Dave; Naeem Seliya; Evelyn R. Sowells Boone (CoRR, 2021)

Machine Learning Algorithms In User Authentication Schemes. - Laura Pryor; Rushit Dave; Naeem Seliya; Evelyn R. Sowells Boone (CoRR, 2021)

A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods. - Sam Strecker; Rushit Dave; Nyle Siddiqui; Naeem Seliya (CoRR, 2021)

Continuous Authentication Using Mouse Movements, Machine Learning, and Minecraft. - Nyle Siddiqui; Rushit Dave; Naeem Seliya (CoRR, 2021)

Named Entity Recognition in Unstructured Medical Text Documents. - Cole Pearson; Naeem Seliya; Rushit Dave (CoRR, 2021)

The Benefits of Edge Computing in Healthcare, Smart Cities, and IoT. - Rushit Dave; Naeem Seliya; Nyle Siddiqui (CoRR, 2021)

Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection. - Joseph M. Ackerson; Rushit Dave; Naeem Seliya (Inf., 2021)

A literature review on one-class classification and its potential applications in big data. - Naeem Seliya; Azadeh Abdollah Zadeh; Taghi M. Khoshgoftaar (J. Big Data, 2021)

Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning. - Jacob Mallet; Laura Pryor; Rushit Dave; Naeem Seliya; Mounika Vanamala; Evelyn R. Sowells Boone (CACML, 2022)

Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning. - Wei Zhong Tee; Rushit Dave; Naeem Seliya; Mounika Vanamala (CACML, 2022)

A CNN-Based Automated Stuttering Identification System. - Yash Prabhu; Naeem Seliya (ICMLA, 2022)

Continuous User Authentication Using Machine Learning and Multi-finger Mobile Touch Dynamics with a Novel Dataset. - Zachary Deridder; Nyle Siddiqui; Thomas Reither; Rushit Dave; Brendan Pelto; Mounika Vanamala; Naeem Seliya (ISCMI, 2022)

Using Deep Learning to Detecting Deepfakes. - Jacob Mallet; Rushit Dave; Naeem Seliya; Mounika Vanamala (ISCMI, 2022)

A Close Look into Human Activity Recognition Models using Deep Learning. - Wei Zhong Tee; Rushit Dave; Naeem Seliya; Mounika Vanamala (CoRR, 2022)

Evaluation of a User Authentication Schema Using Behavioral Biometrics and Machine Learning. - Laura Pryor; Jacob Mallet; Rushit Dave; Naeem Seliya; Mounika Vanamala; Evelyn R. Sowells Boone (CoRR, 2022)

Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication. - Nyle Siddiqui; Rushit Dave; Mounika Vanamala; Naeem Seliya (Mach. Learn. Knowl. Extr., 2022)

Analyzing Tweets for Disaster Prediction. - Ryan Boston; Naeem Seliya; Mounika Vanamala (EIT, 2024)

Click Fraud Detection of Online Advertising Using Machine Learning Algorithms. - Benjamin Kirkwood; Mounika Vanamala; Naeem Seliya (EIT, 2024)

Heart Murmur Prediction with Machine Learning. - Thomas Scott; Naeem Seliya; Mounika Vanamala (EIT, 2024)

An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering. - Md Shafikuzzaman; Md. Rakibul Islam 002; Alex C. Rolli; Sharmin Akhter; Naeem Seliya (IEEE Access, 2024)