Naeem Seliya - RankMe

95 papers B 5C 10Misc 9Journal 48Unranked 20

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	YOLO-Based Object Detection for Automated Identification of IVC Filters in Abdominal CT Imaging. ICMLA Mykle Buhrow, Ian Nie, Naeem Seliya, Joseph C. Wildenberg, Rahul Gomes
2024	J	`jnl`	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 Md Shafikuzzaman, Md. Rakibul Islam, Alex C. Rolli, Sharmin Akhter, Naeem Seliya
2024	—	`conf`	Analyzing Tweets for Disaster Prediction. EIT Ryan Boston, Naeem Seliya, Mounika Vanamala
2024	—	`conf`	Click Fraud Detection of Online Advertising Using Machine Learning Algorithms. EIT Benjamin Kirkwood, Mounika Vanamala, Naeem Seliya
2024	—	`conf`	Heart Murmur Prediction with Machine Learning. EIT Thomas Scott, Naeem Seliya, Mounika Vanamala
2022	C	`conf`	A CNN-Based Automated Stuttering Identification System. ICMLA Yash Prabhu, Naeem Seliya
2022	J	`jnl`	A Close Look into Human Activity Recognition Models using Deep Learning. CoRR Wei Zhong Tee, Rushit Dave, Naeem Seliya, Mounika Vanamala
2022	J	`jnl`	Continuous User Authentication Using Machine Learning and Multi-Finger Mobile Touch Dynamics with a Novel Dataset. CoRR Zachary Deridder, Nyle Siddiqui, Thomas Reither, Rushit Dave, Brendan Pelto, Naeem Seliya, Mounika Vanamala
2022	—	`conf`	Continuous User Authentication Using Machine Learning and Multi-finger Mobile Touch Dynamics with a Novel Dataset. ISCMI Zachary Deridder, Nyle Siddiqui, Thomas Reither, Rushit Dave, Brendan Pelto, Mounika Vanamala, Naeem Seliya
2022	J	`jnl`	Evaluation of a User Authentication Schema Using Behavioral Biometrics and Machine Learning. CoRR Laura Pryor, Jacob Mallet, Rushit Dave, Naeem Seliya, Mounika Vanamala, Evelyn R. Sowells Boone
2022	—	`conf`	Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning. CACML Jacob Mallet, Laura Pryor, Rushit Dave, Naeem Seliya, Mounika Vanamala, Evelyn R. Sowells Boone
2022	J	`jnl`	Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning. CoRR Rushit Dave, Naeem Seliya, Laura Pryor, Mounika Vanamala, Evelyn R. Sowells Boone, Jacob Mallet
2022	—	`conf`	Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning. CACML Wei Zhong Tee, Rushit Dave, Naeem Seliya, Mounika Vanamala
2022	J	`jnl`	Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning. CoRR Rushit Dave, Naeem Seliya, Mounika Vanamala, Wei Tee
2022	J	`jnl`	Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication. CoRR Nyle Siddiqui, Rushit Dave, Naeem Seliya, Mounika Vanamala
2022	J	`jnl`	Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication. Mach. Learn. Knowl. Extr. Nyle Siddiqui, Rushit Dave, Mounika Vanamala, Naeem Seliya
2022	—	`conf`	Using Deep Learning to Detecting Deepfakes. ISCMI Jacob Mallet, Rushit Dave, Naeem Seliya, Mounika Vanamala
2022	J	`jnl`	Using Deep Learning to Detecting Deepfakes. CoRR Jacob Mallet, Rushit Dave, Naeem Seliya, Mounika Vanamala
2021	J	`jnl`	A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods. CoRR Sam Strecker, Rushit Dave, Nyle Siddiqui, Naeem Seliya
2021	J	`jnl`	A literature review on one-class classification and its potential applications in big data. J. Big Data Naeem Seliya, Azadeh Abdollah Zadeh, Taghi M. Khoshgoftaar
2021	J	`jnl`	Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection. Inf. Joseph M. Ackerson, Rushit Dave, Naeem Seliya
2021	J	`jnl`	Continuous Authentication Using Mouse Movements, Machine Learning, and Minecraft. CoRR Nyle Siddiqui, Rushit Dave, Naeem Seliya
2021	—	`conf`	IoT Reconnaissance Attack Classification with Random Undersampling and Ensemble Feature Selection. CIC Joffrey L. Leevy, John T. Hancock, Taghi M. Khoshgoftaar, Naeem Seliya
2021	J	`jnl`	Machine Learning Algorithms In User Authentication Schemes. CoRR Laura Pryor, Rushit Dave, Naeem Seliya, Evelyn R. Sowells Boone
2021	J	`jnl`	Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes. CoRR Owen Casey, Rushit Dave, Naeem Seliya, Evelyn R. Sowells Boone
2021	J	`jnl`	Named Entity Recognition in Unstructured Medical Text Documents. CoRR Cole Pearson, Naeem Seliya, Rushit Dave
2021	J	`jnl`	The Benefits of Edge Computing in Healthcare, Smart Cities, and IoT. CoRR Rushit Dave, Naeem Seliya, Nyle Siddiqui
2020	J	`jnl`	Investigating the relationship between time and predictive model maintenance. J. Big Data Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya
2019	C	`ed.`	18th IEEE International Conference On Machine Learning And Applications, ICMLA 2019, Boca Raton, FL, USA, December 16-19, 2019 ICMLA M. Arif Wani, Taghi M. Khoshgoftaar, Dingding Wang, Huanjing Wang, Naeem Seliya
2019	J	`jnl`	Examining characteristics of predictive models with imbalanced big data. J. Big Data Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Naeem Seliya
2019	—	`conf`	Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data. BigDataService Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy, Naeem Seliya
2019	C	`conf`	The Effect of Time on the Maintenance of a Predictive Model. ICMLA Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya
2018	J	`jnl`	A survey on addressing high-class imbalance in big data. J. Big Data Joffrey L. Leevy, Taghi M. Khoshgoftaar, Richard A. Bauder, Naeem Seliya
2016	—	`ch.`	Deep Learning Techniques in Big Data Analytics. Big Data Technologies and Applications Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic
2016	Misc	`conf`	Enhancing Ensemble Learners with Data Sampling on High-Dimensional Imbalanced Tweet Sentiment Data. FLAIRS Joseph D. Prusa, Taghi M. Khoshgoftaar, Naeem Seliya
2015	Misc	`conf`	A New Intrusion Detection Benchmarking System. FLAIRS Richard Zuech, Taghi M. Khoshgoftaar, Naeem Seliya, Maryam M. Najafabadi, Clifford Kemp
2015	J	`jnl`	Deep learning applications and challenges in big data analytics. J. Big Data Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic
2015	J	`jnl`	On the Stability of Feature Selection Methods in Software Quality Prediction: An Empirical Investigation. Int. J. Softw. Eng. Knowl. Eng. Huanjing Wang, Taghi M. Khoshgoftaar, Naeem Seliya
2015	C	`conf`	The Effect of Dataset Size on Training Tweet Sentiment Classifiers. ICMLA Joseph D. Prusa, Taghi M. Khoshgoftaar, Naeem Seliya
2014	C	`conf`	Machine Learning for Detecting Brute Force Attacks at the Network Level. BIBE Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Clifford Kemp, Naeem Seliya, Richard Zuech
2014	J	`jnl`	System regression test planning with a fuzzy expert system. Inf. Sci. Zhiwei Xu, Kehan Gao, Taghi M. Khoshgoftaar, Naeem Seliya
2012	J	`jnl`	Predicting high-risk program modules by selecting the right software measurements. Softw. Qual. J. Kehan Gao, Taghi M. Khoshgoftaar, Naeem Seliya
2011	J	`jnl`	Choosing software metrics for defect prediction: an investigation on feature selection techniques. Softw. Pract. Exp. Kehan Gao, Taghi M. Khoshgoftaar, Huanjing Wang, Naeem Seliya
2011	Misc	`conf`	How Many Software Metrics Should be Selected for Defect Prediction? FLAIRS Huanjing Wang, Taghi M. Khoshgoftaar, Naeem Seliya
2011	J	`jnl`	The use of decision trees for cost-sensitive classification: an empirical study in software quality prediction. WIREs Data Mining Knowl. Discov. Naeem Seliya, Taghi M. Khoshgoftaar
2010	Misc	`conf`	Active learning with neural networks for intrusion detection. IRI Naeem Seliya, Taghi M. Khoshgoftaar
2010	—	`conf`	Attribute Selection and Imbalanced Data: Problems in Software Defect Prediction. ICTAI (1) Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya
2010	—	`conf`	Classifying Independent Medical Examination Reports using SOM Networks. DMIN Yinghao Huang, Naeem Seliya, Yi Lu Murphey, Roy B. Friedenthal
2010	J	`jnl`	Evolutionary Optimization of Software Quality Modeling with Multiple Repositories. IEEE Trans. Software Eng. Yi Liu, Taghi M. Khoshgoftaar, Naeem Seliya
2010	J	`jnl`	Evolutionary data analysis for the class imbalance problem. Intell. Data Anal. Taghi M. Khoshgoftaar, Naeem Seliya, Dennis J. Drown
2010	—	`conf`	Predicting Faults in High Assurance Software. HASE Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse
2009	B	`conf`	A Study on the Relationships of Classifier Performance Metrics. ICTAI Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse
2009	Misc	`conf`	Aggregating Performance Metrics for Classifier Evaluation. IRI Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse
2009	J	`jnl`	Evolutionary Sampling and Software Quality Modeling of High-Assurance Systems. IEEE Trans. Syst. Man Cybern. Part A Dennis J. Drown, Taghi M. Khoshgoftaar, Naeem Seliya
2009	B	`conf`	High-Dimensional Software Engineering Data and Feature Selection. ICTAI Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya
2009	—	`conf`	Mining Data from Multiple Software Development Projects. ICDM Workshops Huanjing Wang, Taghi M. Khoshgoftaar, Kehan Gao, Naeem Seliya
2009	—	`conf`	Name Entity Recognition and Classification in Medical Text Documents. DMIN Yinghao Huang, Naeem Seliya, Yi Lu Murphey, Roy B. Friedenthal
2009	J	`jnl`	Software quality analysis by combining multiple projects and learners. Softw. Qual. J. Taghi M. Khoshgoftaar, Pierre Rebours, Naeem Seliya
2009	C	`conf`	Value-Based Software Quality Modeling. SEKE Naeem Seliya, Taghi M. Khoshgoftaar
2008	—	`conf`	Addressing Class Imbalance in Non-binary Classification Problems. ICTAI (1) Naeem Seliya, Zhiwei Xu, Taghi M. Khoshgoftaar
2008	C	`conf`	An Adaptive Neural Network with Dynamic Structure for Software Defect Prediction. SEKE Zhiwei Xu, Naeem Seliya, Weibiao Wu
2008	J	`jnl`	Detecting outsourced student programming assignments. J. Comput. Sci. Coll. Bruce S. Elenbogen, Naeem Seliya
2008	J	`jnl`	Low-Effort Labeling of Network Events for Intrusion Detection in WLANs. Int. J. Artif. Intell. Tools Taghi M. Khoshgoftaar, Naeem Seliya, Chris Seiffert
2008	C	`conf`	On the Rarity of Fault-prone Modules in Knowledge-based Software Quality Modeling. SEKE Taghi M. Khoshgoftaar, Naeem Seliya, Dennis J. Drown
2008	—	`ch.`	Software Module Risk Analysis. Wiley Encyclopedia of Computer Science and Engineering Taghi M. Khoshgoftaar, Naeem Seliya
2008	—	`ch.`	Software Quality Modeling as a Reliability Tool. Wiley Encyclopedia of Computer Science and Engineering Naeem Seliya, Taghi M. Khoshgoftaar
2007	Misc	`conf`	Low-Effort Labeling of Network Events for Intrusion Detection in WLANs. FLAIRS Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya
2007	J	`jnl`	Software Quality Analysis of Unlabeled Program Modules With Semisupervised Clustering. IEEE Trans. Syst. Man Cybern. Part A Naeem Seliya, Taghi M. Khoshgoftaar
2007	J	`jnl`	Software quality estimation with limited fault data: a semi-supervised learning perspective. Softw. Qual. J. Naeem Seliya, Taghi M. Khoshgoftaar
2006	J	`jnl`	An empirical study of predicting software faults with case-based reasoning. Softw. Qual. J. Taghi M. Khoshgoftaar, Naeem Seliya, Nandini Sundaresh
2006	J	`jnl`	Detecting Noisy Instances with the Ensemble Filter: a Study in Software Quality Estimation. Int. J. Softw. Eng. Knowl. Eng. Taghi M. Khoshgoftaar, Vedang H. Joshi, Naeem Seliya
2006	Misc	`conf`	Labeling network event records for intrusion detection in a Wireless LAN. IRI Taghi M. Khoshgoftaar, Chris Seiffert, Naeem Seliya
2006	J	`jnl`	Resource oriented selection of rule-based classification models: An empirical case study. Softw. Qual. J. Taghi M. Khoshgoftaar, Angela Herzberg, Naeem Seliya
2005	—	`conf`	Analyzing Software Quality with Limited Fault-Proneness Defect Data. HASE Naeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong
2005	J	`jnl`	Assessment of a New Three-Group Software Quality Classification Technique: An Empirical Case Study. Empir. Softw. Eng. Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao
2005	J	`jnl`	Detecting noisy instances with the rule-based classification model. Intell. Data Anal. Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao
2005	C	`conf`	Intrusion detection in wireless networks using clustering techniques with expert analysis. ICMLA Taghi M. Khoshgoftaar, Shyam Varan Nath, Shi Zhong, Naeem Seliya
2005	J	`jnl`	Resource-oriented software quality classification models. J. Syst. Softw. Taghi M. Khoshgoftaar, Naeem Seliya, Angela Herzberg
2005	Misc	`conf`	The partitioning- and rule-based filter for noise detection. IRI Yudong Xiao, Taghi M. Khoshgoftaar, Naeem Seliya
2004	J	`jnl`	A multiobjective module-order model for software quality enhancement. IEEE Trans. Evol. Comput. Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya
2004	J	`jnl`	Analyzing Software Measurement Data with Clustering Techniques. IEEE Intell. Syst. Shi Zhong, Taghi M. Khoshgoftaar, Naeem Seliya
2004	J	`jnl`	Comparative Assessment of Software Quality Classification Techniques: An Empirical Case Study. Empir. Softw. Eng. Taghi M. Khoshgoftaar, Naeem Seliya
2004	—	`conf`	Module-Order Modeling using an Evolutionary Multi-Objective Optimization Approach. IEEE METRICS Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya
2004	Misc	`conf`	Rule-Based Noise Detection for Software Measurement Data. IRI Taghi M. Khoshgoftaar, Naeem Seliya, Kehan Gao
2004	B	`conf`	Semi-Supervised Learning for Software Quality Estimation. ICTAI Naeem Seliya, Taghi M. Khoshgoftaar, Shi Zhong
2004	J	`jnl`	Software quality estimation with case-based reasoning. Adv. Comput. Taghi M. Khoshgoftaar, Naeem Seliya
2004	—	`conf`	The Necessity of Assuring Quality in Software Measurement Data. IEEE METRICS Taghi M. Khoshgoftaar, Naeem Seliya
2004	—	`conf`	Unsupervised Learning for Expert-Based Software Quality Estimation. HASE Shi Zhong, Taghi M. Khoshgoftaar, Naeem Seliya
2003	J	`jnl`	Analogy-Based Practical Classification Rules for Software Quality Estimation. Empir. Softw. Eng. Taghi M. Khoshgoftaar, Naeem Seliya
2003	J	`jnl`	Fault Prediction Modeling for Software Quality Estimation: Comparing Commonly Used Techniques. Empir. Softw. Eng. Taghi M. Khoshgoftaar, Naeem Seliya
2003	B	`conf`	Genetic Programming-Based Decision Trees for Software Quality Classification. ICTAI Taghi M. Khoshgoftaar, Yi Liu, Naeem Seliya
2003	J	`jnl`	Software Quality Classification Modeling Using the SPRINT Decision Tree Algorithm. Int. J. Artif. Intell. Tools Taghi M. Khoshgoftaar, Naeem Seliya
2002	J	`jnl`	Predicting Fault-Prone Modules in Embedded Systems Using Analogy-Based Classification Models. Int. J. Softw. Eng. Knowl. Eng. Taghi M. Khoshgoftaar, Bojan Cukic, Naeem Seliya
2002	B	`conf`	Software Quality Classification Modeling Using The SPRINT Decision Tree Algorithm. ICTAI Taghi M. Khoshgoftaar, Naeem Seliya
2002	—	`conf`	Tree-Based Software Quality Estimation Models For Fault Prediction. IEEE METRICS Taghi M. Khoshgoftaar, Naeem Seliya