2024
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, 2024
Heart Murmur Prediction with Machine Learning.
Proceedings of the IEEE International Conference on Electro Information Technology, 2024
Click Fraud Detection of Online Advertising Using Machine Learning Algorithms.
Proceedings of the IEEE International Conference on Electro Information Technology, 2024
Analyzing Tweets for Disaster Prediction.
Proceedings of the IEEE International Conference on Electro Information Technology, 2024
2022
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication.
Mach. Learn. Knowl. Extr., 2022
Continuous User Authentication Using Machine Learning and Multi-Finger Mobile Touch Dynamics with a Novel Dataset.
CoRR, 2022
Using Deep Learning to Detecting Deepfakes.
CoRR, 2022
Evaluation of a User Authentication Schema Using Behavioral Biometrics and Machine Learning.
CoRR, 2022
A Close Look into Human Activity Recognition Models using Deep Learning.
CoRR, 2022
A CNN-Based Automated Stuttering Identification System.
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.
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.
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.
J. Big Data, 2021
Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection.
Inf., 2021
The Benefits of Edge Computing in Healthcare, Smart Cities, and IoT.
CoRR, 2021
Named Entity Recognition in Unstructured Medical Text Documents.
CoRR, 2021
Continuous Authentication Using Mouse Movements, Machine Learning, and Minecraft.
CoRR, 2021
A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods.
CoRR, 2021
Machine Learning Algorithms In User Authentication Schemes.
CoRR, 2021
Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes.
CoRR, 2021
IoT Reconnaissance Attack Classification with Random Undersampling and Ensemble Feature Selection.
Proceedings of the 7th IEEE International Conference on Collaboration and Internet Computing, 2021
2020
Investigating the relationship between time and predictive model maintenance.
J. Big Data, 2020
2019
Examining characteristics of predictive models with imbalanced big data.
J. Big Data, 2019
The Effect of Time on the Maintenance of a Predictive Model.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Investigating Random Undersampling and Feature Selection on Bioinformatics Big Data.
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.
J. Big Data, 2018
2016
Enhancing Ensemble Learners with Data Sampling on High-Dimensional Imbalanced Tweet Sentiment Data.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Deep Learning Techniques in Big Data Analytics.
Proceedings of the Big Data Technologies and Applications, 2016
2015
Deep learning applications and challenges in big data analytics.
J. Big Data, 2015
On the Stability of Feature Selection Methods in Software Quality Prediction: An Empirical Investigation.
Int. J. Softw. Eng. Knowl. Eng., 2015
The Effect of Dataset Size on Training Tweet Sentiment Classifiers.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
A New Intrusion Detection Benchmarking System.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015
2014
System regression test planning with a fuzzy expert system.
Inf. Sci., 2014
Machine Learning for Detecting Brute Force Attacks at the Network Level.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014
2012
Predicting high-risk program modules by selecting the right software measurements.
Softw. Qual. J., 2012
2011
The use of decision trees for cost-sensitive classification: an empirical study in software quality prediction.
WIREs Data Mining Knowl. Discov., 2011
Choosing software metrics for defect prediction: an investigation on feature selection techniques.
Softw. Pract. Exp., 2011
How Many Software Metrics Should be Selected for Defect Prediction?
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011
2010
Evolutionary Optimization of Software Quality Modeling with Multiple Repositories.
IEEE Trans. Software Eng., 2010
Evolutionary data analysis for the class imbalance problem.
Intell. Data Anal., 2010
Active learning with neural networks for intrusion detection.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010
Attribute Selection and Imbalanced Data: Problems in Software Defect Prediction.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
Predicting Faults in High Assurance Software.
Proceedings of the 12th IEEE High Assurance Systems Engineering Symposium, 2010
Classifying Independent Medical Examination Reports using SOM Networks.
Proceedings of The 2010 International Conference on Data Mining, 2010
2009
Evolutionary Sampling and Software Quality Modeling of High-Assurance Systems.
IEEE Trans. Syst. Man Cybern. Part A, 2009
Software quality analysis by combining multiple projects and learners.
Softw. Qual. J., 2009
Value-Based Software Quality Modeling.
Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009
Aggregating Performance Metrics for Classifier Evaluation.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009
High-Dimensional Software Engineering Data and Feature Selection.
Proceedings of the ICTAI 2009, 2009
A Study on the Relationships of Classifier Performance Metrics.
Proceedings of the ICTAI 2009, 2009
Mining Data from Multiple Software Development Projects.
Proceedings of the ICDM Workshops 2009, 2009
Name Entity Recognition and Classification in Medical Text Documents.
Proceedings of The 2009 International Conference on Data Mining, 2009
2008
Software Quality Modeling as a Reliability Tool.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008
Software Module Risk Analysis.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008
Detecting outsourced student programming assignments.
J. Comput. Sci. Coll., 2008
Low-Effort Labeling of Network Events for Intrusion Detection in WLANs.
Int. J. Artif. Intell. Tools, 2008
An Adaptive Neural Network with Dynamic Structure for Software Defect Prediction.
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.
Proceedings of the Twentieth International Conference on Software Engineering & Knowledge Engineering (SEKE'2008), 2008
Addressing Class Imbalance in Non-binary Classification Problems.
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.
IEEE Trans. Syst. Man Cybern. Part A, 2007
Software quality estimation with limited fault data: a semi-supervised learning perspective.
Softw. Qual. J., 2007
2006
An empirical study of predicting software faults with case-based reasoning.
Softw. Qual. J., 2006
Resource oriented selection of rule-based classification models: An empirical case study.
Softw. Qual. J., 2006
Detecting Noisy Instances with the Ensemble Filter: a Study in Software Quality Estimation.
Int. J. Softw. Eng. Knowl. Eng., 2006
Labeling network event records for intrusion detection in a Wireless LAN.
Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006
2005
Resource-oriented software quality classification models.
J. Syst. Softw., 2005
Detecting noisy instances with the rule-based classification model.
Intell. Data Anal., 2005
Assessment of a New Three-Group Software Quality Classification Technique: An Empirical Case Study.
Empir. Softw. Eng., 2005
The partitioning- and rule-based filter for noise detection.
Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, 2005
Intrusion detection in wireless networks using clustering techniques with expert analysis.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005
Analyzing Software Quality with Limited Fault-Proneness Defect Data.
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.
IEEE Trans. Evol. Comput., 2004
Analyzing Software Measurement Data with Clustering Techniques.
IEEE Intell. Syst., 2004
Comparative Assessment of Software Quality Classification Techniques: An Empirical Case Study.
Empir. Softw. Eng., 2004
Software quality estimation with case-based reasoning.
Adv. Comput., 2004
The Necessity of Assuring Quality in Software Measurement Data.
Proceedings of the 10th IEEE International Software Metrics Symposium (METRICS 2004), 2004
Module-Order Modeling using an Evolutionary Multi-Objective Optimization Approach.
Proceedings of the 10th IEEE International Software Metrics Symposium (METRICS 2004), 2004
Rule-Based Noise Detection for Software Measurement Data.
Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004
Semi-Supervised Learning for Software Quality Estimation.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004
Unsupervised Learning for Expert-Based Software Quality Estimation.
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.
Int. J. Artif. Intell. Tools, 2003
Analogy-Based Practical Classification Rules for Software Quality Estimation.
Empir. Softw. Eng., 2003
Fault Prediction Modeling for Software Quality Estimation: Comparing Commonly Used Techniques.
Empir. Softw. Eng., 2003
Genetic Programming-Based Decision Trees for Software Quality Classification.
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.
Int. J. Softw. Eng. Knowl. Eng., 2002
Tree-Based Software Quality Estimation Models For Fault Prediction.
Proceedings of the 8th IEEE International Software Metrics Symposium (METRICS 2002), 2002