Naeem Seliya

Mounika Vanamala

Proceedings of the IEEE International Conference on Electro Information Technology, 2024

Click Fraud Detection of Online Advertising Using Machine Learning Algorithms.

[BibT_eX]

[DOI]

Benjamin Kirkwood

Mounika Vanamala

Proceedings of the IEEE International Conference on Electro Information Technology, 2024

Analyzing Tweets for Disaster Prediction.

[BibT_eX]

[DOI]

Ryan Boston

Mounika Vanamala

Proceedings of the IEEE International Conference on Electro Information Technology, 2024

2022

Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication.

[BibT_eX]

[DOI]

Mach. Learn. Knowl. Extr., 2022

Continuous User Authentication Using Machine Learning and Multi-Finger Mobile Touch Dynamics with a Novel Dataset.

[BibT_eX]

[DOI]

CoRR, 2022

Using Deep Learning to Detecting Deepfakes.

[BibT_eX]

[DOI]

CoRR, 2022

Evaluation of a User Authentication Schema Using Behavioral Biometrics and Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

A CNN-Based Automated Stuttering Identification System.

[BibT_eX]

[DOI]

Yash Prabhu

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Azadeh Abdollah Zadeh

J. Big Data, 2021

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

[BibT_eX]

[DOI]

Joseph M. Ackerson

Inf., 2021

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

[BibT_eX]

[DOI]

Nyle Siddiqui

CoRR, 2021

Named Entity Recognition in Unstructured Medical Text Documents.

[BibT_eX]

[DOI]

Cole Pearson

CoRR, 2021

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

[BibT_eX]

[DOI]

Nyle Siddiqui

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Machine Learning Algorithms In User Authentication Schemes.

[BibT_eX]

[DOI]

Laura Pryor

CoRR, 2021

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

[BibT_eX]

[DOI]

Owen Casey

CoRR, 2021

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

[BibT_eX]

[DOI]

John T. Hancock

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

2020

Investigating the relationship between time and predictive model maintenance.

[BibT_eX]

[DOI]

Richard A. Bauder

J. Big Data, 2020

2019

Examining characteristics of predictive models with imbalanced big data.

[BibT_eX]

[DOI]

Tawfiq Hasanin

J. Big Data, 2019

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

[BibT_eX]

[DOI]

Richard A. Bauder

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

Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data.

[BibT_eX]

[DOI]

Tawfiq Hasanin

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.

[BibT_eX]

[DOI]

Richard A. Bauder

J. Big Data, 2018

2016

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

[BibT_eX]

[DOI]

Joseph D. Prusa

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

Deep Learning Techniques in Big Data Analytics.

[BibT_eX]

[DOI]

Flavio Villanustre

Randall Wald

Edin Muharemagic

Proceedings of the Big Data Technologies and Applications, 2016

2015

Deep learning applications and challenges in big data analytics.

[BibT_eX]

[DOI]

Flavio Villanustre

Randall Wald

Edin Muharemagic

J. Big Data, 2015

On the Stability of Feature Selection Methods in Software Quality Prediction: An Empirical Investigation.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2015

The Effect of Dataset Size on Training Tweet Sentiment Classifiers.

[BibT_eX]

[DOI]

Joseph D. Prusa

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

A New Intrusion Detection Benchmarking System.

[BibT_eX]

[DOI]

Richard Zuech

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.

[BibT_eX]

[DOI]

Zhiwei Xu

Inf. Sci., 2014

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

[BibT_eX]

[DOI]

Clifford Kemp

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.

[BibT_eX]

[DOI]

Softw. Qual. J., 2012

2011

The use of decision trees for cost-sensitive classification: an empirical study in software quality prediction.

[BibT_eX]

[DOI]

WIREs Data Mining Knowl. Discov., 2011

Choosing software metrics for defect prediction: an investigation on feature selection techniques.

[BibT_eX]

[DOI]

Softw. Pract. Exp., 2011

How Many Software Metrics Should be Selected for Defect Prediction?

[BibT_eX]

[DOI]

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

2010

Evolutionary Optimization of Software Quality Modeling with Multiple Repositories.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2010

Evolutionary data analysis for the class imbalance problem.

[BibT_eX]

[DOI]

Dennis J. Drown

Intell. Data Anal., 2010

Active learning with neural networks for intrusion detection.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Predicting Faults in High Assurance Software.

[BibT_eX]

[DOI]

Jason Van Hulse

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

Classifying Independent Medical Examination Reports using SOM Networks.

[BibT_eX]

Proceedings of The 2010 International Conference on Data Mining, 2010

2009

Evolutionary Sampling and Software Quality Modeling of High-Assurance Systems.

[BibT_eX]

[DOI]

Dennis J. Drown

IEEE Trans. Syst. Man Cybern. Part A, 2009

Software quality analysis by combining multiple projects and learners.

[BibT_eX]

[DOI]

Pierre Rebours

Softw. Qual. J., 2009

Value-Based Software Quality Modeling.

[BibT_eX]

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

Aggregating Performance Metrics for Classifier Evaluation.

[BibT_eX]

[DOI]

Jason Van Hulse

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

High-Dimensional Software Engineering Data and Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the ICTAI 2009, 2009

A Study on the Relationships of Classifier Performance Metrics.

[BibT_eX]

[DOI]

Jason Van Hulse

Proceedings of the ICTAI 2009, 2009

Mining Data from Multiple Software Development Projects.

[BibT_eX]

[DOI]

Proceedings of the ICDM Workshops 2009, 2009

Name Entity Recognition and Classification in Medical Text Documents.

[BibT_eX]

Proceedings of The 2009 International Conference on Data Mining, 2009

2008

Software Quality Modeling as a Reliability Tool.

[BibT_eX]

[DOI]

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

Software Module Risk Analysis.

[BibT_eX]

[DOI]

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

Low-Effort Labeling of Network Events for Intrusion Detection in WLANs.

[BibT_eX]

[DOI]

Chris Seiffert

Int. J. Artif. Intell. Tools, 2008

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

[BibT_eX]

Zhiwei Xu

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.

[BibT_eX]

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.

[BibT_eX]

[DOI]

Zhiwei Xu

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Softw. Qual. J., 2007

2006

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

[BibT_eX]

[DOI]

Nandini Sundaresh

Softw. Qual. J., 2006

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

[BibT_eX]

[DOI]

Angela Herzberg

Softw. Qual. J., 2006

Detecting Noisy Instances with the Ensemble Filter: a Study in Software Quality Estimation.

[BibT_eX]

[DOI]

Vedang H. Joshi

Int. J. Softw. Eng. Knowl. Eng., 2006

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

[BibT_eX]

[DOI]

Chris Seiffert

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

2005

Resource-oriented software quality classification models.

[BibT_eX]

[DOI]

Angela Herzberg

J. Syst. Softw., 2005

Detecting noisy instances with the rule-based classification model.

[BibT_eX]

[DOI]

Intell. Data Anal., 2005

Assessment of a New Three-Group Software Quality Classification Technique: An Empirical Case Study.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2005

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

[BibT_eX]

[DOI]

Yudong Xiao

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

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

[BibT_eX]

[DOI]

Shyam Varan Nath

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

Analyzing Software Quality with Limited Fault-Proneness Defect Data.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2004

Analyzing Software Measurement Data with Clustering Techniques.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2004

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

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2004

Software quality estimation with case-based reasoning.

[BibT_eX]

[DOI]

Adv. Comput., 2004

The Necessity of Assuring Quality in Software Measurement Data.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Rule-Based Noise Detection for Software Measurement Data.

[BibT_eX]

[DOI]

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

Semi-Supervised Learning for Software Quality Estimation.

[BibT_eX]

[DOI]

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

Unsupervised Learning for Expert-Based Software Quality Estimation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2003

Analogy-Based Practical Classification Rules for Software Quality Estimation.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2003

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

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2003

Genetic Programming-Based Decision Trees for Software Quality Classification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Bojan Cukic

Int. J. Softw. Eng. Knowl. Eng., 2002

Tree-Based Software Quality Estimation Models For Fault Prediction.

[BibT_eX]

[DOI]