Naeem Seliya

According to our database, Naeem Seliya authored at least 81 papers between 2002 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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, Naeem Seliya, Mounika Vanamala

CoRR, 2022

Using Deep Learning to Detecting Deepfakes.

Jacob Mallet, 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

A Close Look into Human Activity Recognition Models using Deep Learning.

Wei Zhong Tee, Rushit Dave, Naeem Seliya, Mounika Vanamala

CoRR, 2022

A CNN-Based Automated Stuttering Identification System.

Yash Prabhu, Naeem Seliya

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning.

Wei Zhong Tee, Rushit Dave, Naeem Seliya, Mounika Vanamala

Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022

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

Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022

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

Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection.

Joseph M. Ackerson, Rushit Dave, Naeem Seliya

Inf., 2021

The Benefits of Edge Computing in Healthcare, Smart Cities, and IoT.

Rushit Dave, Naeem Seliya, Nyle Siddiqui

CoRR, 2021

Named Entity Recognition in Unstructured Medical Text Documents.

Cole Pearson, Naeem Seliya, Rushit Dave

CoRR, 2021

Continuous Authentication Using Mouse Movements, Machine Learning, and Minecraft.

Nyle Siddiqui, Rushit Dave, Naeem Seliya

CoRR, 2021

A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods.

Sam Strecker, Rushit Dave, Nyle Siddiqui, Naeem Seliya

CoRR, 2021

Machine Learning Algorithms In User Authentication Schemes.

Laura Pryor, Rushit Dave, Naeem Seliya, Evelyn R. Sowells Boone

CoRR, 2021

Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes.

Owen Casey, Rushit Dave, Naeem Seliya, Evelyn R. Sowells Boone

CoRR, 2021

IoT Reconnaissance Attack Classification with Random Undersampling and Ensemble Feature Selection.

Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Naeem Seliya

Proceedings of the 7th IEEE International Conference on Collaboration and Internet Computing, 2021

2020

Investigating the relationship between time and predictive model maintenance.

Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya

J. Big Data, 2020

2019

Examining characteristics of predictive models with imbalanced big data.

Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Naeem Seliya

J. Big Data, 2019

The Effect of Time on the Maintenance of a Predictive Model.

Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data.

Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Naeem Seliya

Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019

2018

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

2016

Enhancing Ensemble Learners with Data Sampling on High-Dimensional Imbalanced Tweet Sentiment Data.

Joseph D. Prusa, Taghi M. Khoshgoftaar, Naeem Seliya

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Deep Learning Techniques in Big Data Analytics.

Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic

Proceedings of the Big Data Technologies and Applications, 2016

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

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

The Effect of Dataset Size on Training Tweet Sentiment Classifiers.

Joseph D. Prusa, Taghi M. Khoshgoftaar, Naeem Seliya

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

A New Intrusion Detection Benchmarking System.

Richard Zuech, Taghi M. Khoshgoftaar, Naeem Seliya, Maryam M. Najafabadi, Clifford Kemp

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014

System regression test planning with a fuzzy expert system.

Zhiwei Xu, Kehan Gao, Taghi M. Khoshgoftaar, Naeem Seliya

Inf. Sci., 2014

Machine Learning for Detecting Brute Force Attacks at the Network Level.

Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Clifford Kemp, Naeem Seliya, Richard Zuech

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

2012

Predicting high-risk program modules by selecting the right software measurements.

Kehan Gao, Taghi M. Khoshgoftaar, Naeem Seliya

Softw. Qual. J., 2012

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

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

How Many Software Metrics Should be Selected for Defect Prediction?

Huanjing Wang, Taghi M. Khoshgoftaar, Naeem Seliya

Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

2010

Evolutionary Optimization of Software Quality Modeling with Multiple Repositories.

Yi Liu, Taghi M. Khoshgoftaar, Naeem Seliya

IEEE Trans. Software Eng., 2010

Evolutionary data analysis for the class imbalance problem.

Taghi M. Khoshgoftaar, Naeem Seliya, Dennis J. Drown

Intell. Data Anal., 2010

Active learning with neural networks for intrusion detection.

Naeem Seliya, Taghi M. Khoshgoftaar

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010

Attribute Selection and Imbalanced Data: Problems in Software Defect Prediction.

Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya

Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Predicting Faults in High Assurance Software.

Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse

Proceedings of the 12th IEEE High Assurance Systems Engineering Symposium, 2010

Classifying Independent Medical Examination Reports using SOM Networks.

Yinghao Huang, Naeem Seliya, Yi Lu Murphey, Roy B. Friedenthal

Proceedings of The 2010 International Conference on Data Mining, 2010

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

Software quality analysis by combining multiple projects and learners.

Taghi M. Khoshgoftaar, Pierre Rebours, Naeem Seliya

Softw. Qual. J., 2009

Value-Based Software Quality Modeling.

Naeem Seliya, Taghi M. Khoshgoftaar

Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009

Aggregating Performance Metrics for Classifier Evaluation.

Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009

High-Dimensional Software Engineering Data and Feature Selection.

Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya

Proceedings of the ICTAI 2009, 2009

A Study on the Relationships of Classifier Performance Metrics.

Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse

Proceedings of the ICTAI 2009, 2009

Mining Data from Multiple Software Development Projects.

Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya

Proceedings of the ICDM Workshops 2009, 2009

Name Entity Recognition and Classification in Medical Text Documents.

Yinghao Huang, Naeem Seliya, Yi Lu Murphey, Roy B. Friedenthal

Proceedings of The 2009 International Conference on Data Mining, 2009

2008

Software Quality Modeling as a Reliability Tool.

Naeem Seliya, Taghi M. Khoshgoftaar

Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

Software Module Risk Analysis.

Taghi M. Khoshgoftaar, Naeem Seliya

Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 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

An Adaptive Neural Network with Dynamic Structure for Software Defect Prediction.

Zhiwei Xu, Naeem Seliya, Weibiao Wu

Proceedings of the Twentieth International Conference on Software Engineering & Knowledge Engineering (SEKE'2008), 2008

On the Rarity of Fault-prone Modules in Knowledge-based Software Quality Modeling.

Taghi M. Khoshgoftaar, Naeem Seliya, Dennis J. Drown

Proceedings of the Twentieth International Conference on Software Engineering & Knowledge Engineering (SEKE'2008), 2008

Addressing Class Imbalance in Non-binary Classification Problems.

Naeem Seliya, Zhiwei Xu, Taghi M. Khoshgoftaar

Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

2007

Software Quality Analysis of Unlabeled Program Modules With Semisupervised Clustering.

Naeem Seliya, Taghi M. Khoshgoftaar

IEEE Trans. Syst. Man Cybern. Part A, 2007

Software quality estimation with limited fault data: a semi-supervised learning perspective.

Naeem Seliya, Taghi M. Khoshgoftaar

Softw. Qual. J., 2007

2006

An empirical study of predicting software faults with case-based reasoning.

Taghi M. Khoshgoftaar, Naeem Seliya, Nandini Sundaresh

Softw. Qual. J., 2006

Resource oriented selection of rule-based classification models: An empirical case study.

Taghi M. Khoshgoftaar, Angela Herzberg, Naeem Seliya

Softw. Qual. J., 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

Labeling network event records for intrusion detection in a Wireless LAN.

Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya

Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006

2005

Resource-oriented software quality classification models.

Taghi M. Khoshgoftaar, Naeem Seliya, Angela Herzberg

J. Syst. Softw., 2005

Detecting noisy instances with the rule-based classification model.

Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao

Intell. Data Anal., 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

The partitioning- and rule-based filter for noise detection.

Yudong Xiao, Taghi M. Khoshgoftaar, Naeem Seliya

Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, 2005

Intrusion detection in wireless networks using clustering techniques with expert analysis.

Taghi M. Khoshgoftaar, Shyam Varan Nath, Shi Zhong, Naeem Seliya

Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005

Analyzing Software Quality with Limited Fault-Proneness Defect Data.

Naeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong

Proceedings of the Ninth IEEE International Symposium on High Assurance Systems Engineering (HASE 2005), 2005

2004

A multiobjective module-order model for software quality enhancement.

Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya

IEEE Trans. Evol. Comput., 2004

Analyzing Software Measurement Data with Clustering Techniques.

Shi Zhong, Taghi M. Khoshgoftaar, Naeem Seliya

IEEE Intell. Syst., 2004

Comparative Assessment of Software Quality Classification Techniques: An Empirical Case Study.

Taghi M. Khoshgoftaar, Naeem Seliya

Empir. Softw. Eng., 2004

Software quality estimation with case-based reasoning.

Taghi M. Khoshgoftaar, Naeem Seliya

Adv. Comput., 2004

The Necessity of Assuring Quality in Software Measurement Data.

Taghi M. Khoshgoftaar, Naeem Seliya

Proceedings of the 10th IEEE International Software Metrics Symposium (METRICS 2004), 2004

Module-Order Modeling using an Evolutionary Multi-Objective Optimization Approach.

Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya

Proceedings of the 10th IEEE International Software Metrics Symposium (METRICS 2004), 2004

Rule-Based Noise Detection for Software Measurement Data.

Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao

Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004

Semi-Supervised Learning for Software Quality Estimation.

Naeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong

Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Unsupervised Learning for Expert-Based Software Quality Estimation.

Shi Zhong, Taghi M. Khoshgoftaar, Naeem Seliya

Proceedings of the 8th IEEE International Symposium on High-Assurance Systems Engineering (HASE 2004), 2004

2003

Software Quality Classification Modeling Using the SPRINT Decision Tree Algorithm.

Taghi M. Khoshgoftaar, Naeem Seliya

Int. J. Artif. Intell. Tools, 2003

Analogy-Based Practical Classification Rules for Software Quality Estimation.

Taghi M. Khoshgoftaar, Naeem Seliya

Empir. Softw. Eng., 2003

Fault Prediction Modeling for Software Quality Estimation: Comparing Commonly Used Techniques.

Taghi M. Khoshgoftaar, Naeem Seliya

Empir. Softw. Eng., 2003

Genetic Programming-Based Decision Trees for Software Quality Classification.

Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya

Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003

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

Tree-Based Software Quality Estimation Models For Fault Prediction.

Taghi M. Khoshgoftaar, Naeem Seliya

Proceedings of the 8th IEEE International Software Metrics Symposium (METRICS 2002), 2002