| 2025 | ICMLA | YOLO-Based Object Detection for Automated Identification of IVC Filters in Abdominal CT Imaging. | Mykle Buhrow, Ian Nie, Naeem Seliya, Joseph C. Wildenberg, Rahul Gomes |
| 2022 | ICMLA | A CNN-Based Automated Stuttering Identification System. | Yash Prabhu, Naeem Seliya |
| 2019 | ICMLA | The Effect of Time on the Maintenance of a Predictive Model. | Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya |
| 2016 | FlAIRS | Enhancing Ensemble Learners with Data Sampling on High-Dimensional Imbalanced Tweet Sentiment Data. | Joseph D. Prusa, Taghi M. Khoshgoftaar, Naeem Seliya |
| 2015 | FlAIRS | A New Intrusion Detection Benchmarking System. | Richard Zuech, Taghi M. Khoshgoftaar, Naeem Seliya, Maryam M. Najafabadi, Clifford Kemp |
| 2015 | ICMLA | The Effect of Dataset Size on Training Tweet Sentiment Classifiers. | Joseph D. Prusa, Taghi M. Khoshgoftaar, Naeem Seliya |
| 2014 | BIBE | Machine Learning for Detecting Brute Force Attacks at the Network Level. | Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Clifford Kemp, Naeem Seliya, Richard Zuech |
| 2011 | FlAIRS | How Many Software Metrics Should be Selected for Defect Prediction? | Huanjing Wang, Taghi M. Khoshgoftaar, Naeem Seliya |
| 2010 | IRI | Active learning with neural networks for intrusion detection. | Naeem Seliya, Taghi M. Khoshgoftaar |
| 2010 | ICTAI | Attribute Selection and Imbalanced Data: Problems in Software Defect Prediction. | Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya |
| 2009 | ICDM | Mining Data from Multiple Software Development Projects. | Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya |
| 2009 | IRI | Aggregating Performance Metrics for Classifier Evaluation. | Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse |
| 2009 | ICTAI | A Study on the Relationships of Classifier Performance Metrics. | Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse |
| 2009 | ICTAI | High-Dimensional Software Engineering Data and Feature Selection. | Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya |
| 2009 | SEKE | Value-Based Software Quality Modeling. | Naeem Seliya, Taghi M. Khoshgoftaar |
| 2008 | ICTAI | Addressing Class Imbalance in Non-binary Classification Problems. | Naeem Seliya, Zhiwei Xu, Taghi M. Khoshgoftaar |
| 2008 | SEKE | On the Rarity of Fault-prone Modules in Knowledge-based Software Quality Modeling. | Taghi M. Khoshgoftaar, Naeem Seliya, Dennis J. Drown |
| 2008 | SEKE | An Adaptive Neural Network with Dynamic Structure for Software Defect Prediction. | Zhiwei Xu, Naeem Seliya, Weibiao Wu |
| 2007 | FlAIRS | Low-Effort Labeling of Network Events for Intrusion Detection in WLANs. | Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya |
| 2006 | IRI | Labeling network event records for intrusion detection in a Wireless LAN. | Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya |
| 2005 | ICMLA | Intrusion detection in wireless networks using clustering techniques with expert analysis. | Taghi M. Khoshgoftaar, Shyam Varan Nath, Shi Zhong, Naeem Seliya |
| 2005 | IRI | The partitioning- and rule-based filter for noise detection. | Yudong Xiao, Taghi M. Khoshgoftaar, Naeem Seliya |
| 2004 | IRI | Rule-Based Noise Detection for Software Measurement Data. | Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao |
| 2004 | ICTAI | Semi-Supervised Learning for Software Quality Estimation. | Naeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong |
| 2003 | ICTAI | Genetic Programming-Based Decision Trees for Software Quality Classification. | Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya |
| 2002 | ICTAI | Software Quality Classification Modeling Using The SPRINT Decision Tree Algorithm. | Taghi M. Khoshgoftaar, Naeem Seliya |