Naeem Seliya

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 34

Top Topics

Machine Learning

User Authentication

Human Activity Recognition

Top Venues

Publications

Md Shafikuzzaman, Md. Rakibul Islam, Alex C. Rolli, Sharmin Akhter, Naeem Seliya
An Empirical Evaluation of the Zero-Shot, Few-Shot, and Traditional Fine-Tuning Based Pretrained Language Models for Sentiment Analysis in Software Engineering. IEEE Access 12 (2024)
Thomas Scott, Naeem Seliya, Mounika Vanamala
Heart Murmur Prediction with Machine Learning. EIT (2024)
Ryan Boston, Naeem Seliya, Mounika Vanamala
Analyzing Tweets for Disaster Prediction. EIT (2024)
Benjamin Kirkwood, Mounika Vanamala, Naeem Seliya
Click Fraud Detection of Online Advertising Using Machine Learning Algorithms. EIT (2024)
Jacob Mallet, Rushit Dave, Naeem Seliya, Mounika Vanamala
Using Deep Learning to Detecting Deepfakes. CoRR (2022)
Nyle Siddiqui, Rushit Dave, Naeem Seliya, Mounika Vanamala
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication. CoRR (2022)
Zachary Deridder, Nyle Siddiqui, Thomas Reither, Rushit Dave, Brendan Pelto, Naeem Seliya, Mounika Vanamala
Continuous User Authentication Using Machine Learning and Multi-Finger Mobile Touch Dynamics with a Novel Dataset. CoRR (2022)
Laura Pryor, Jacob Mallet, Rushit Dave, Naeem Seliya, Mounika Vanamala, Evelyn E. Sowells Boone
Evaluation of a User Authentication Schema Using Behavioral Biometrics and Machine Learning. CoRR (2022)
Yash Prabhu, Naeem Seliya
A CNN-Based Automated Stuttering Identification System. ICMLA (2022)
Wei Zhong Tee, Rushit Dave, Naeem Seliya, Mounika Vanamala
A Close Look into Human Activity Recognition Models using Deep Learning. CoRR (2022)
Nyle Siddiqui, Rushit Dave, Mounika Vanamala, Naeem Seliya
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication. Mach. Learn. Knowl. Extr. 4 (2) (2022)
Jacob Mallet, Laura Pryor, Rushit Dave, Naeem Seliya, Mounika Vanamala, Evelyn R. Sowells Boone
Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning. CACML (2022)
Rushit Dave, Naeem Seliya, Mounika Vanamala, Wei Tee
Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning. CoRR (2022)
Wei Zhong Tee, Rushit Dave, Naeem Seliya, Mounika Vanamala
Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning. CACML (2022)
Rushit Dave, Naeem Seliya, Laura Pryor, Mounika Vanamala, Evelyn R. Sowells Boone, Jacob mallet
Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning. CoRR (2022)
Sam Strecker, Rushit Dave, Nyle Siddiqui, Naeem Seliya
A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods. CoRR (2021)
Nyle Siddiqui, Rushit Dave, Naeem Seliya
Continuous Authentication Using Mouse Movements, Machine Learning, and Minecraft. CoRR (2021)
Owen Casey, Rushit Dave, Naeem Seliya, Evelyn R. Sowells Boone
Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes. CoRR (2021)
Joseph M. Ackerson, Rushit Dave, Naeem Seliya
Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection. Inf. 12 (7) (2021)
Rushit Dave, Naeem Seliya, Nyle Siddiqui
The Benefits of Edge Computing in Healthcare, Smart Cities, and IoT. CoRR (2021)
Laura Pryor, Rushit Dave, Naeem Seliya, Evelyn R. Sowells Boone
Machine Learning Algorithms In User Authentication Schemes. CoRR (2021)
Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Naeem Seliya
IoT Reconnaissance Attack Classification with Random Undersampling and Ensemble Feature Selection. CIC (2021)
Naeem Seliya, Azadeh Abdollah Zadeh, Taghi M. Khoshgoftaar
A literature review on one-class classification and its potential applications in big data. J. Big Data 8 (1) (2021)
Cole Pearson, Naeem Seliya, Rushit Dave
Named Entity Recognition in Unstructured Medical Text Documents. CoRR (2021)
Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya
Investigating the relationship between time and predictive model maintenance. J. Big Data 7 (1) (2020)
Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Naeem Seliya
Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data. BigDataService (2019)
Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Naeem Seliya
Examining characteristics of predictive models with imbalanced big data. J. Big Data 6 (2019)
Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya
The Effect of Time on the Maintenance of a Predictive Model. ICMLA (2019)
Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya
A survey on addressing high-class imbalance in big data. J. Big Data 5 (2018)
Joseph D. Prusa, Taghi M. Khoshgoftaar, Naeem Seliya
Enhancing Ensemble Learners with Data Sampling on High-Dimensional Imbalanced Tweet Sentiment Data. FLAIRS Conference (2016)
Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic
Deep learning applications and challenges in big data analytics. J. Big Data 2 (2015)
Richard Zuech, Taghi M. Khoshgoftaar, Naeem Seliya, Maryam M. Najafabadi, Clifford Kemp
A New Intrusion Detection Benchmarking System. FLAIRS Conference (2015)
Joseph D. Prusa, Taghi M. Khoshgoftaar, Naeem Seliya
The Effect of Dataset Size on Training Tweet Sentiment Classifiers. ICMLA (2015)
Huanjing Wang, Taghi M. Khoshgoftaar, Naeem Seliya
On the Stability of Feature Selection Methods in Software Quality Prediction: An Empirical Investigation. Int. J. Softw. Eng. Knowl. Eng. 25 (9-10) (2015)
Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Clifford Kemp, Naeem Seliya, Richard Zuech
Machine Learning for Detecting Brute Force Attacks at the Network Level. BIBE (2014)
Zhiwei Xu, Kehan Gao, Taghi M. Khoshgoftaar, Naeem Seliya
System regression test planning with a fuzzy expert system. Inf. Sci. 259 (2014)
Kehan Gao, Taghi M. Khoshgoftaar, Naeem Seliya
Predicting high-risk program modules by selecting the right software measurements. Softw. Qual. J. 20 (1) (2012)
Naeem Seliya, Taghi M. Khoshgoftaar
The use of decision trees for cost-sensitive classification: an empirical study in software quality prediction. WIREs Data Mining Knowl. Discov. 1 (5) (2011)
Huanjing Wang, Taghi M. Khoshgoftaar, Naeem Seliya
How Many Software Metrics Should be Selected for Defect Prediction? FLAIRS Conference (2011)
Kehan Gao, Taghi M. Khoshgoftaar, Huanjing Wang, Naeem Seliya
Choosing software metrics for defect prediction: an investigation on feature selection techniques. Softw. Pract. Exp. 41 (5) (2011)
Yi Liu, Taghi M. Khoshgoftaar, Naeem Seliya
Evolutionary Optimization of Software Quality Modeling with Multiple Repositories. IEEE Trans. Software Eng. 36 (6) (2010)
Taghi M. Khoshgoftaar, Naeem Seliya, Dennis J. Drown
Evolutionary data analysis for the class imbalance problem. Intell. Data Anal. 14 (1) (2010)
Yinghao Huang, Naeem Seliya, Yi Lu Murphey, Roy B. Friedenthal
Classifying Independent Medical Examination Reports using SOM Networks. DMIN (2010)
Naeem Seliya, Taghi M. Khoshgoftaar
Active learning with neural networks for intrusion detection. IRI (2010)
Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse
Predicting Faults in High Assurance Software. HASE (2010)
Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya
Attribute Selection and Imbalanced Data: Problems in Software Defect Prediction. ICTAI (1) (2010)
Taghi M. Khoshgoftaar, Pierre Rebours, Naeem Seliya
Software quality analysis by combining multiple projects and learners. Softw. Qual. J. 17 (1) (2009)
Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse
A Study on the Relationships of Classifier Performance Metrics. ICTAI (2009)
Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya
Mining Data from Multiple Software Development Projects. ICDM Workshops (2009)
Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse
Aggregating Performance Metrics for Classifier Evaluation. IRI (2009)
Naeem Seliya, Taghi M. Khoshgoftaar
Value-Based Software Quality Modeling. SEKE (2009)
Dennis J. Drown, Taghi M. Khoshgoftaar, Naeem Seliya
Evolutionary Sampling and Software Quality Modeling of High-Assurance Systems. IEEE Trans. Syst. Man Cybern. Part A 39 (5) (2009)
Yinghao Huang, Naeem Seliya, Yi Lu Murphey, Roy B. Friedenthal
Name Entity Recognition and Classification in Medical Text Documents. DMIN (2009)
Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya
High-Dimensional Software Engineering Data and Feature Selection. ICTAI (2009)
Zhiwei Xu, Naeem Seliya, Weibiao Wu
An Adaptive Neural Network with Dynamic Structure for Software Defect Prediction. SEKE (2008)
Naeem Seliya, Zhiwei Xu, Taghi M. Khoshgoftaar
Addressing Class Imbalance in Non-binary Classification Problems. ICTAI (1) (2008)
Taghi M. Khoshgoftaar, Naeem Seliya, Dennis J. Drown
On the Rarity of Fault-prone Modules in Knowledge-based Software Quality Modeling. SEKE (2008)
Taghi M. Khoshgoftaar, Naeem Seliya, Chris Seiffert
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs. Int. J. Artif. Intell. Tools 17 (3) (2008)
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs. FLAIRS Conference (2007)
Naeem Seliya, Taghi M. Khoshgoftaar
Software Quality Analysis of Unlabeled Program Modules With Semisupervised Clustering. IEEE Trans. Syst. Man Cybern. Part A 37 (2) (2007)
Naeem Seliya, Taghi M. Khoshgoftaar
Software quality estimation with limited fault data: a semi-supervised learning perspective. Softw. Qual. J. 15 (3) (2007)
Taghi M. Khoshgoftaar, Naeem Seliya, Nandini Sundaresh
An empirical study of predicting software faults with case-based reasoning. Softw. Qual. J. 14 (2) (2006)
Taghi M. Khoshgoftaar, Angela Herzberg, Naeem Seliya
Resource oriented selection of rule-based classification models: An empirical case study. Softw. Qual. J. 14 (4) (2006)
Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya
Labeling network event records for intrusion detection in a Wireless LAN. IRI (2006)
Taghi M. Khoshgoftaar, Vedang H. Joshi, Naeem Seliya
Detecting Noisy Instances with the Ensemble Filter: a Study in Software Quality Estimation. Int. J. Softw. Eng. Knowl. Eng. 16 (1) (2006)
Taghi M. Khoshgoftaar, Shyam Varan Nath, Shi Zhong, Naeem Seliya
Intrusion detection in wireless networks using clustering techniques with expert analysis. ICMLA (2005)
Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao
Assessment of a New Three-Group Software Quality Classification Technique: An Empirical Case Study. Empir. Softw. Eng. 10 (2) (2005)
Taghi M. Khoshgoftaar, Naeem Seliya, Angela Herzberg
Resource-oriented software quality classification models. J. Syst. Softw. 76 (2) (2005)
Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao
Detecting noisy instances with the rule-based classification model. Intell. Data Anal. 9 (4) (2005)
Yudong Xiao, Taghi M. Khoshgoftaar, Naeem Seliya
The partitioning- and rule-based filter for noise detection. IRI (2005)
Naeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong
Analyzing Software Quality with Limited Fault-Proneness Defect Data. HASE (2005)
Taghi M. Khoshgoftaar, Naeem Seliya
Comparative Assessment of Software Quality Classification Techniques: An Empirical Case Study. Empir. Softw. Eng. 9 (3) (2004)
Naeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong
Semi-Supervised Learning for Software Quality Estimation. ICTAI (2004)
Taghi M. Khoshgoftaar, Naeem Seliya
The Necessity of Assuring Quality in Software Measurement Data. IEEE METRICS (2004)
Shi Zhong, Taghi M. Khoshgoftaar, Naeem Seliya
Analyzing Software Measurement Data with Clustering Techniques. IEEE Intell. Syst. 19 (2) (2004)
Shi Zhong, Taghi M. Khoshgoftaar, Naeem Seliya
Unsupervised Learning for Expert-Based Software Quality Estimation. HASE (2004)
Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya
A multiobjective module-order model for software quality enhancement. IEEE Trans. Evol. Comput. 8 (6) (2004)
Taghi M. Khoshgoftaar, Naeem Seliya
Software quality estimation with case-based reasoning. Adv. Comput. 62 (2004)
Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao
Rule-Based Noise Detection for Software Measurement Data. IRI (2004)
Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya
Module-Order Modeling using an Evolutionary Multi-Objective Optimization Approach. IEEE METRICS (2004)
Taghi M. Khoshgoftaar, Naeem Seliya
Fault Prediction Modeling for Software Quality Estimation: Comparing Commonly Used Techniques. Empir. Softw. Eng. 8 (3) (2003)
Taghi M. Khoshgoftaar, Naeem Seliya
Software Quality Classification Modeling Using the SPRINT Decision Tree Algorithm. Int. J. Artif. Intell. Tools 12 (3) (2003)
Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya
Genetic Programming-Based Decision Trees for Software Quality Classification. ICTAI (2003)
Taghi M. Khoshgoftaar, Naeem Seliya
Analogy-Based Practical Classification Rules for Software Quality Estimation. Empir. Softw. Eng. 8 (4) (2003)
Taghi M. Khoshgoftaar, Naeem Seliya
Software Quality Classification Modeling Using The SPRINT Decision Tree Algorithm. ICTAI (2002)
Taghi M. Khoshgoftaar, Naeem Seliya
Tree-Based Software Quality Estimation Models For Fault Prediction. IEEE METRICS (2002)
Taghi M. Khoshgoftaar, Bojan Cukic, Naeem Seliya
Predicting Fault-Prone Modules in Embedded Systems Using Analogy-Based Classification Models. Int. J. Softw. Eng. Knowl. Eng. 12 (2) (2002)