Taghi M. Khoshgoftaar
Affiliations:- Florida Atlantic University, Boca Raton, Florida, USA
According to our database1,
Taghi M. Khoshgoftaar
authored at least 609 papers
between 1989 and 2024.
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Bibliography
2024
Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods.
J. Big Data, December, 2024
Advancing machine learning with OCR2SEQ: an innovative approach to multi-modal data augmentation.
J. Big Data, December, 2024
J. Big Data, December, 2024
J. Big Data, December, 2024
2023
J. Big Data, December, 2023
Investigating the effectiveness of one-class and binary classification for fraud detection.
J. Big Data, December, 2023
Comparative analysis of binary and one-class classification techniques for credit card fraud data.
J. Big Data, December, 2023
Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning.
J. Big Data, December, 2023
J. Big Data, December, 2023
J. Big Data, December, 2023
J. Big Data, December, 2023
Exploring Maximum Tree Depth and Random Undersampling in Ensemble Trees to Optimize the Classification of Imbalanced Big Data.
SN Comput. Sci., September, 2023
Int. J. Artif. Intell. Tools, August, 2023
Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in South Florida.
Frontiers Digit. Health, March, 2023
J. Big Data, 2023
Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2023
Enhancing Credit Card Fraud Detection Through a Novel Ensemble Feature Selection Technique.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023
Assessing One-Class and Binary Classification Approaches for Identifying Medicare Fraud.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023
Unsupervised Anomaly Detection of Class Imbalanced Cognition Data Using an Iterative Cleaning Method.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023
A Model-Agnostic Feature Selection Technique to Improve the Performance of One-Class Classifiers.
Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023
Data Reduction to Improve the Performance of One-Class Classifiers on Highly Imbalanced Big Data.
Proceedings of the International Conference on Machine Learning and Applications, 2023
A Comparative Study of Model-Agnostic and Importance-Based Feature Selection Approaches.
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023
2022
SN Comput. Sci., 2022
SN Comput. Sci., 2022
A new feature popularity framework for detecting cyberattacks using popular features.
J. Big Data, 2022
The use of generative adversarial networks to alleviate class imbalance in tabular data: a survey.
J. Big Data, 2022
Proceedings of the IEEE International Conference on Service-Oriented System Engineering, 2022
A Class-Imbalanced Study with Feature Extraction via PCA and Convolutional Autoencoder.
Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022
Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022
Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022
Exploring Language-Interfaced Fine-Tuning for COVID-19 Patient Survival Classification.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022
A Comparison of House Price Classification with Structured and Unstructured Text Data.
Proceedings of the Thirty-Fifth International Florida Artificial Intelligence Research Society Conference, 2022
Proceedings of the 8th IEEE International Conference on Collaboration and Internet Computing, 2022
Proceedings of the 4th IEEE International Conference on Cognitive Machine Intelligence, 2022
2021
SN Comput. Sci., 2021
J. Big Data, 2021
Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platformm.
J. Big Data, 2021
A literature review on one-class classification and its potential applications in big data.
J. Big Data, 2021
J. Big Data, 2021
Proceedings of the 15th IEEE International Conference on Service-Oriented System Engineering, 2021
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Feature Extraction for Class Imbalance Using a Convolutional Autoencoder and Data Sampling.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
Feature Popularity Between Different Web Attacks with Supervised Feature Selection Rankers.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 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
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021
Proceedings of the Seventh IEEE International Conference on Big Data Computing Service and Applications, 2021
Proceedings of the Seventh IEEE International Conference on Big Data Computing Service and Applications, 2021
Proceedings of the Seventh IEEE International Conference on Big Data Computing Service and Applications, 2021
2020
Netw. Model. Anal. Health Informatics Bioinform., 2020
J. Big Data, 2020
J. Big Data, 2020
A survey and analysis of intrusion detection models based on CSE-CIC-IDS2018 Big Data.
J. Big Data, 2020
Inf. Syst. Frontiers, 2020
Intell. Data Anal., 2020
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Evaluating The Number of Trainable Parameters on Deep Maxout and LReLU Networks for Visual Recognition.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020
Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020
Detecting Cybersecurity Attacks Using Different Network Features with LightGBM and XGBoost Learners.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020
2019
Netw. Model. Anal. Health Informatics Bioinform., 2019
A parallel and distributed stochastic gradient descent implementation using commodity clusters.
J. Big Data, 2019
Random forest implementation and optimization for Big Data analytics on LexisNexis's high performance computing cluster platform.
J. Big Data, 2019
The effects of class rarity on the evaluation of supervised healthcare fraud detection models.
J. Big Data, 2019
J. Big Data, 2019
J. Big Data, 2019
J. Big Data, 2019
Impact of class distribution on the detection of slow HTTP DoS attacks using Big Data.
J. Big Data, 2019
Extracting Knowledge from Technical Reports for the Valuation of West Texas Intermediate Crude Oil Futures.
Inf. Syst. Frontiers, 2019
Efficient learning from big data for cancer risk modeling: A case study with melanoma.
Comput. Biol. Medicine, 2019
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019
A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data.
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019
Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Threshold Based Optimization of Performance Metrics with Severely Imbalanced Big Security Data.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Investigation of Maxout Activations on Convolutional Neural Networks for Big Data Text Sentiment Analysis.
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019
Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019
Differentiating between Educational Data Mining and Learning Analytics: A Bibliometric Approach.
Proceedings of the Joint Proceedings of the Workshops of the 12th International Conference on Educational Data Mining co-located with the 12th International Conference on Educational Data Mining, 2019
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019
Proceedings of the IEEE Fifth International Conference on Big Data Computing Service and Applications, 2019
2018
Soc. Netw. Anal. Min., 2018
Int. J. Artif. Intell. Tools, 2018
The effects of varying class distribution on learner behavior for medicare fraud detection with imbalanced big data.
Health Inf. Sci. Syst., 2018
A review of statistical and machine learning methods for modeling cancer risk using structured clinical data.
Artif. Intell. Medicine, 2018
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018
Proceedings of the 2018 IEEE International Conference on Information Reuse and Integration, 2018
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
Data Sampling Approaches with Severely Imbalanced Big Data for Medicare Fraud Detection.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Location-Based Twitter Sentiment Analysis for Predicting the U.S. 2016 Presidential Election.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018
The Detection of Medicare Fraud Using Machine Learning Methods with Excluded Provider Labels.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018
Proceedings of the 4th IEEE International Conference on Collaboration and Internet Computing, 2018
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018
2017
Improving detection of untrustworthy online reviews using ensemble learners combined with feature selection.
Soc. Netw. Anal. Min., 2017
Reliability Evaluation Model of Component-Based Software Based on Complex Network Theory.
Qual. Reliab. Eng. Int., 2017
J. Big Data, 2017
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017
Extracting Knowledge from Technical Reports for the Valuation of West Texas Intermediate Crude Oil Futures.
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017
Using Weather and Playing Surface to Predict the Occurrence of Injury in Major League Soccer Games: A Case Study.
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017
Medical Provider Specialty Predictions for the Detection of Anomalous Medicare Insurance Claims.
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017
Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017
Multivariate Anomaly Detection in Medicare using Model Residuals and Probabilistic Programming.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017
Proceedings of the 3rd IEEE International Conference on Collaboration and Internet Computing, 2017
Exploring the Effectiveness of Twitter at Polling the United States 2016 Presidential Election.
Proceedings of the 3rd IEEE International Conference on Collaboration and Internet Computing, 2017
Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Is Data Sampling Required When Using Random Forest for Classification on Imbalanced Bioinformatics Data?
Proceedings of the Theoretical Information Reuse and Integration, 2016
The improved grey model based on particle swarm optimization algorithm for time series prediction.
Eng. Appl. Artif. Intell., 2016
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016
Designing a Better Data Representation for Deep Neural Networks and Text Classification.
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016
Investigating the Variation of Ensemble Size on Bagging-Based Classifier Performance in Imbalanced Bioinformatics Datasets.
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016
A Novel Method for Fraudulent Medicare Claims Detection from Expected Payment Deviations (Application Paper).
Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 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
Necessity of Feature Selection when Augmenting Tweet Sentiment Feature Spaces with Emoticons.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Comparing Approaches for Combining Data Sampling and Feature Selection to Address Key Data Quality Issues in Tweet Sentiment Analysis.
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016
Proceedings of the Big Data Technologies and Applications, 2016
Proceedings of the Big Data Technologies and Applications, 2016
2015
A survey of open source tools for machine learning with big data in the Hadoop ecosystem.
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
An Empirical Investigation on Wrapper-Based Feature Selection for Predicting Software Quality.
Int. J. Softw. Eng. Knowl. Eng., 2015
Aggregating Data Sampling with Feature Subset Selection to Address Skewed Software Defect Data.
Int. J. Softw. Eng. Knowl. Eng., 2015
Investigating Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation.
Int. J. Softw. Eng. Knowl. Eng., 2015
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015
Combining Feature Subset Selection and Data Sampling for Coping with Highly Imbalanced Software Data.
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015
Alterations to the Bootstrapping Process within Random Forest: A Case Study on Imbalanced Bioinformatics Data.
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015
Observing the Effect of the Choice of Classifier on Bioinformatics Data with Varying Levels of Data Quality and Class Balance.
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015
The Effect of Data Sampling When Using Random Forest on Imbalanced Bioinformatics Data.
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015
Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015
Using Feature Selection in Combination with Ensemble Learning Techniques to Improve Tweet Sentiment Classification Performance.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015
Ensemble vs. Data Sampling: Which Option Is Best Suited to Improve Classification Performance of Imbalanced Bioinformatics Data?
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Utilizing Ensemble, Data Sampling and Feature Selection Techniques for Improving Classification Performance on Tweet Sentiment Data.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Investigating New Bootstrapping Approaches of Bagging Classifiers to Account for Class Imbalance in Bioinformatics Datasets.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Does the Inclusion of Data Sampling Improve the Performance of Boosting Algorithms on Imbalanced Bioinformatics Data?
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015
Selecting the Appropriate Ensemble Learning Approach for Balanced Bioinformatics Data.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015
2014
A comparative study of iterative and non-iterative feature selection techniques for software defect prediction.
Inf. Syst. Frontiers, 2014
An empirical study of the classification performance of learners on imbalanced and noisy software quality data.
Inf. Sci., 2014
Inf. Sci., 2014
The Use of Ensemble-Based Data Preprocessing Techniques for Software Defect Prediction.
Int. J. Softw. Eng. Knowl. Eng., 2014
Choosing the Best Classification Performance Metric for Wrapper-based Software Metric Selection for Defect Prediction.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014
Comparing Two Approaches for Adding Feature Ranking to Sampled Ensemble Learning for Software Quality Estimation.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014
Using feature selection and classification to build effective and efficient firewalls.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014
The effect of noise level and distribution on classification of easy gene microarray data.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014
How ranker and learner choice affects classification performance on noisy bioinformatics data.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014
Improving software quality estimation by combining feature selection strategies with sampled ensemble learning.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014
Classification performance of three approaches for combining data sampling and gene selection on bioinformatics data.
Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014
Using Correlation-Based Feature Selection for a Diverse Collection of Bioinformatics Datasets.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014
Evaluation of Wrapper-Based Feature Selection Using Hard, Moderate, and Easy Bioinformatics Data.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014
Effects of the Use of Boosting on Classification Performance of Imbalanced Bioinformatics Datasets.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014
Select-Bagging: Effectively Combining Gene Selection and Bagging for Balanced Bioinformatics Data.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014
Selecting the Appropriate Data Sampling Approach for Imbalanced and High-Dimensional Bioinformatics Datasets.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014
2013
A Study of Software Metric Selection Techniques: stability Analysis and Defect Prediction Model Performance.
Int. J. Artif. Intell. Tools, 2013
Feature Selection for Optimization of Wavelet Packet Decomposition in Reliability Analysis of Systems.
Int. J. Artif. Intell. Tools, 2013
A Study on First Order Statistics-Based Feature Selection Techniques on Software Metric Data.
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013
Overcoming Big Data Challenges.
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013
Exploring Ensemble-Based Data Preprocessing Techniques for Software Quality Estimation.
Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering, 2013
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013
Filter- and wrapper-based feature selection for predicting user interaction with Twitter bots.
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013
Hidden dependencies between class imbalance and difficulty of learning for bioinformatics datasets.
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013
Feature list aggregation approaches for ensemble gene selection on patient response datasets.
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013
Proceedings of the IEEE 14th International Conference on Information Reuse & Integration, 2013
Comparison of Two Frameworks for Measuring the Stability of Gene-Selection Techniques on Noisy Class-Imbalanced Data.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
Should the Same Learners Be Used Both within Wrapper Feature Selection and for Building Classification Models?
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Comparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological Datasets.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Comparison of Stability for Different Families of Filter-Based and Wrapper-Based Feature Selection.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Survey of Data Cleansing and Monitoring for Large-Scale Battery Backup Installations.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Contrasting Undersampled Boosting with Internal and External Feature Selection for Patient Response Datasets.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013
Classification Performance of Rank Aggregation Techniques for Ensemble Gene Selection.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013
2012
Softw. Qual. J., 2012
A System-Level Modeling Methodology for Performance-Driven Component Selection in Multicore Architectures.
IEEE Syst. J., 2012
Threshold-based feature selection techniques for high-dimensional bioinformatics data.
Netw. Model. Anal. Health Informatics Bioinform., 2012
Int. J. Softw. Eng. Knowl. Eng., 2012
Exploring filter-based feature selection techniques for software quality classification.
Int. J. Inf. Decis. Sci., 2012
Evaluation of the importance of data pre-processing order when combining feature selection and data sampling.
Int. J. Bus. Intell. Data Min., 2012
Int. J. Bus. Intell. Data Min., 2012
An Empirical Study of Software Metric Selection Techniques for Defect Prediction.
Proceedings of the 24th International Conference on Software Engineering & Knowledge Engineering (SEKE'2012), 2012
Stability of Filter-Based Feature Selection Methods for Imbalanced Software Measurement Data.
Proceedings of the 24th International Conference on Software Engineering & Knowledge Engineering (SEKE'2012), 2012
A novel dataset-similarity-aware approach for evaluating stability of software metric selection techniques.
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012
Impact of noise and data sampling on stability of feature ranking techniques for biological datasets.
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012
Proceedings of the IEEE 13th International Conference on Information Reuse & Integration, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
An Empirical Study on the Stability of Feature Selection for Imbalanced Software Engineering Data.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
A New Fixed-Overlap Partitioning Algorithm for Determining Stability of Bioinformatics Gene Rankers.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
First Order Statistics Based Feature Selection: A Diverse and Powerful Family of Feature Seleciton Techniques.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
A Hybrid Approach to Coping with High Dimensionality and Class Imbalance for Software Defect Prediction.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Applying Feature Selection to Short Time Wavelet Transformed Vibration Data for Reliability Analysis of an Ocean Turbine.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Studying the Effect of Class Imbalance in Ocean Turbine Fault Data on Reliable State Detection.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Comparing Two New Gene Selection Ensemble Approaches with the Commonly-Used Approach.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Determining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Robustness of Threshold-Based Feature Rankers with Data Sampling on Noisy and Imbalanced Data.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
Similarity analysis of feature ranking techniques on imbalanced DNA microarray datasets.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
2011
The use of decision trees for cost-sensitive classification: an empirical study in software quality prediction.
WIREs Data Mining Knowl. Discov., 2011
IEEE Trans. Syst. Man Cybern. Part A, 2011
IEEE Trans. Syst. Man Cybern. Part A, 2011
Choosing software metrics for defect prediction: an investigation on feature selection techniques.
Softw. Pract. Exp., 2011
Identification of microRNA biomarkers for cancer by combining multiple feature selection techniques.
J. Comput. Methods Sci. Eng., 2011
Int. J. Softw. Eng. Knowl. Eng., 2011
Intell. Data Anal., 2011
An Empirical Study of Software Metrics Selection Using Support Vector Machine.
Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011
A Comparative Study of Different Strategies for Predicting Software Quality.
Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011
Software Defect Prediction for High-Dimensional and Class-Imbalanced Data.
Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Measuring robustness of Feature Selection techniques on software engineering datasets.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011
Comparison of approaches to alleviate problems with high-dimensional and class-imbalanced data.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011
A comparative evaluation of feature ranking methods for high dimensional bioinformatics data.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
Feature Selection for Vibration Sensor Data Transformed by a Streaming Wavelet Packet Decomposition.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
Impact of Data Sampling on Stability of Feature Selection for Software Measurement Data.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011
Using Feature Selection to Determine Optimal Depth for Wavelet Packet Decomposition of Vibration Signals for Ocean System Reliability.
Proceedings of the 13th IEEE International Symposium on High-Assurance Systems Engineering, 2011
Proceedings of the 13th IEEE International Symposium on High-Assurance Systems Engineering, 2011
A Dynamometer for an Ocean Turbine Prototype: Reliability through Automated Monitoring.
Proceedings of the 13th IEEE International Symposium on High-Assurance Systems Engineering, 2011
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011
Feature Level Sensor Fusion for Improved Fault Detection in MCM Systems for Ocean Turbines.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
2010
IEEE Trans. Syst. Man Cybern. Part A, 2010
IEEE Trans. Software Eng., 2010
Supervised neural network modeling: an empirical investigation into learning from imbalanced data with labeling errors.
IEEE Trans. Neural Networks, 2010
J. Softw. Eng. Appl., 2010
Int. J. Softw. Eng. Knowl. Eng., 2010
Ensemble Feature Selection Technique for Software Quality Classification.
Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010
Software Engineering with Computational Intelligence and Machine Learning A Novel Software Metric Selection Technique Using the Area Under ROC Curves.
Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2010
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010
A Comparative Study of Ensemble Feature Selection Techniques for Software Defect Prediction.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Comparative Analysis of DNA Microarray Data through the Use of Feature Selection Techniques.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010
Proceedings of the 12th IEEE High Assurance Systems Engineering Symposium, 2010
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010
Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, 2010
2009
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
IEEE Trans. Syst. Man Cybern. Part A, 2009
IEEE Trans. Syst. Man Cybern. Part C, 2009
IEEE Trans. Syst. Man Cybern. Part A, 2009
IEEE Trans. Serv. Comput., 2009
Softw. Qual. J., 2009
Making an accurate classifier ensemble by voting on classifications from imputed learning sets.
Int. J. Inf. Decis. Sci., 2009
An Extendible Translation of BPEL to a Machine-verifiable Model.
Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009
Value-Based Software Quality Modeling.
Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009
A Novel Hybrid Search Algorithm for Feature Selection.
Proceedings of the 21st International Conference on Software Engineering & Knowledge Engineering (SEKE'2009), 2009
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009
An Empirical Investigation of Filter Attribute Selection Techniques for Software Quality Classification.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009
Proceedings of the ICTAI 2009, 2009
Proceedings of the ICTAI 2009, 2009
Exploring Software Quality Classification with a Wrapper-Based Feature Ranking Technique.
Proceedings of the ICTAI 2009, 2009
Proceedings of the ICTAI 2009, 2009
Proceedings of the International Conference on Machine Learning and Applications, 2009
Proceedings of the International Conference on Machine Learning and Applications, 2009
Proceedings of the ICDM Workshops 2009, 2009
Proceedings of the ICDM Workshops 2009, 2009
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009
2008
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008
Softw. Qual. J., 2008
A comprehensive empirical evaluation of missing value imputation in noisy software measurement data.
J. Syst. Softw., 2008
Int. J. Artif. Intell. Tools, 2008
Int. J. Artif. Intell. Tools, 2008
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008
Toward Model Checking Web Services Over the Web.
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
Analyzing the Impact of Attribute Noise on Software Quality Classification.
Proceedings of the Twentieth International Conference on Software Engineering & Knowledge Engineering (SEKE'2008), 2008
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Comparison of Four Performance Metrics for Evaluating Sampling Techniques for Low Quality Class-Imbalanced Data.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008
Proceedings of the Twenty-First International Florida Artificial Intelligence Research Society Conference, 2008
Software quality modeling: The impact of class noise on the random forest classifier.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Software Quality Analysis of Unlabeled Program Modules With Semisupervised Clustering.
IEEE Trans. Syst. Man Cybern. Part A, 2007
IEEE Trans. Reliab., 2007
IEEE Trans. Reliab., 2007
Software quality estimation with limited fault data: a semi-supervised learning perspective.
Softw. Qual. J., 2007
J. Comput. Sci. Technol., 2007
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007
Learning from Software Quality Data with Class Imbalance and Noise.
Proceedings of the Nineteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2007), 2007
Rule-Based Multiple Object Tracking for Traffic Surveillance Using Collaborative Background Extraction.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2007
Building a Novel GP-Based Software Quality Classifier Using Multiple Validation Datasets.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2007
Proceedings of the IJCAI 2007, 2007
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007
Proceedings of the Machine Learning, 2007
Arbitrarily-Shaped Window Based Stereo Matching using the Go-Light Optimization Algorithm.
Proceedings of the International Conference on Image Processing, 2007
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
2006
IEEE Trans. Image Process., 2006
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
Int. J. Comput. Appl. Technol., 2006
Indirect classification approaches: a comparative study in network intrusion detection.
Int. J. Comput. Appl. Technol., 2006
Intell. Data Anal., 2006
Polishing Noise in Continuous Software Measurement Data.
Proceedings of the Eighteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2006), 2006
Multiple Imputation of Software Measurement Data: A Case Study.
Proceedings of the Eighteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2006), 2006
Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006
Developing an effective validation strategy for genetic programming models based on multiple datasets.
Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006
Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006
Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006
Proceedings of the 2006 IEEE International Conference on Information Reuse and Integration, 2006
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006
Proceedings of the Fifth International Conference on Machine Learning and Applications, 2006
2005
Comparing software fault predictions of pure and zero-inflated Poisson regression models.
Int. J. Syst. Sci., 2005
Enhancing software quality estimation using ensemble-classifier based noise filtering.
Intell. Data Anal., 2005
Intell. Data Anal., 2005
Intell. Data Anal., 2005
Intell. Data Anal., 2005
Evaluating indirect and direct classification techniques for network intrusion detection.
Intell. Data Anal., 2005
Assessment of a New Three-Group Software Quality Classification Technique: An Empirical Case Study.
Empir. Softw. Eng., 2005
Application of fuzzy expert system in test case selection for system regression test.
Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, 2005
Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, 2005
Hierarchical indexing of ocean survey video by mean shift clustering and MDL principle.
Proceedings of the 2005 IEEE International Conference on Information Reuse and Integration, 2005
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005
Intrusion detection in wireless networks using clustering techniques with expert analysis.
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005
Proceedings of the Fourth International Conference on Machine Learning and Applications, 2005
Proceedings of the Ninth IEEE International Symposium on High Assurance Systems Engineering (HASE 2005), 2005
2004
IEEE Trans. Evol. Comput., 2004
IEEE Intell. Syst., 2004
Comparative Assessment of Software Quality Classification Techniques: An Empirical Case Study.
Empir. Softw. Eng., 2004
Multi-Objective Optimization by CBR GA-Optimizer for Module-Order Modeling.
Proceedings of the Sixteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2004), 2004
Noise Elimination with Ensemble-Classifier Filtering: A Case-Study in Software Quality Engineerin.
Proceedings of the Sixteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2004), 2004
Proceedings of the 10th IEEE International Software Metrics Symposium (METRICS 2004), 2004
Proceedings of the 10th IEEE International Software Metrics Symposium (METRICS 2004), 2004
Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004
Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004
Proceedings of the 8th IEEE International Symposium on High-Assurance Systems Engineering (HASE 2004), 2004
Reducing Overfitting in Genetic Programming Models for Software Quality Classification.
Proceedings of the 8th IEEE International Symposium on High-Assurance Systems Engineering (HASE 2004), 2004
Proceedings of the 8th IEEE International Symposium on High-Assurance Systems Engineering (HASE 2004), 2004
2003
Introduction to the Special Issue on Quality Engineering with Computational Intelligence.
Softw. Qual. J., 2003
Inf. Softw. Technol., 2003
Int. J. Artif. Intell. Tools, 2003
Empir. Softw. Eng., 2003
Fault Prediction Modeling for Software Quality Estimation: Comparing Commonly Used Techniques.
Empir. Softw. Eng., 2003
Proceedings of the 3rd International Conference on Quality Software (QSIC 2003), 2003
Application of an Attribute Selection Method to CBR-Based Software Quality Classification.
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003
Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2003), 2003
Detecting Outliers Using Rule-Based Modeling for Improving CBR-Based Software Quality Classification Models.
Proceedings of the Case-Based Reasoning Research and Development, 2003
Building Decision Tree Software Quality Classification Models Using Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation, 2003
2002
IEEE Trans. Reliab., 2002
Predicting Fault-Prone Modules in Embedded Systems Using Analogy-Based Classification Models.
Int. J. Softw. Eng. Knowl. Eng., 2002
Uncertain Classification of Fault-Prone Software Modules.
Empir. Softw. Eng., 2002
Proceedings of the 8th IEEE International Software Metrics Symposium (METRICS 2002), 2002
Proceedings of the 8th IEEE International Software Metrics Symposium (METRICS 2002), 2002
Proceedings of the 8th IEEE International Software Metrics Symposium (METRICS 2002), 2002
Improving Usefulness of Software Quality Classification Models Based on Boolean Discriminant Functions.
Proceedings of the 13th International Symposium on Software Reliability Engineering (ISSRE 2002), 2002
Proceedings of the 7th IEEE International Symposium on High-Assurance Systems Engineering (HASE 2002), 2002
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002
2001
Softw. Qual. J., 2001
Controlling Overfitting in Classification-Tree Models of Software Quality.
Empir. Softw. Eng., 2001
Comput. J., 2001
Controlling Overfitting in Software Quality Models: Experiments with Regression Trees and Classification.
Proceedings of the 7th IEEE International Software Metrics Symposium (METRICS 2001), 2001
Proceedings of the 7th IEEE International Software Metrics Symposium (METRICS 2001), 2001
Proceedings of the 12th International Symposium on Software Reliability Engineering (ISSRE 2001), 2001
Proceedings of the 6th IEEE International Symposium on High-Assurance Systems Engineering (HASE 2001), 2001
2000
IEEE Trans. Reliab., 2000
IEEE Trans. Reliab., 2000
Balancing Misclassification Rates in Classification-Tree Models of Software Quality.
Empir. Softw. Eng., 2000
Proceedings of the 11th International Symposium on Software Reliability Engineering (ISSRE 2000), 2000
Proceedings of the 11th International Symposium on Software Reliability Engineering (ISSRE 2000), 2000
Modeling software quality: the Software Measurement Analysis and Reliability Toolkit.
Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 2000
Proceedings of the 5th IEEE International Symposium on High-Assurance Systems Engineering (HASE 2000), 2000
Using product, process, and execution metrics to predict fault-prone software modules with classification trees.
Proceedings of the 5th IEEE International Symposium on High-Assurance Systems Engineering (HASE 2000), 2000
1999
J. Softw. Maintenance Res. Pract., 1999
Int. J. Softw. Eng. Knowl. Eng., 1999
Int. J. Softw. Eng. Knowl. Eng., 1999
A Comparative Study of Ordering and Classification of Fault-Prone Software Modules.
Empir. Softw. Eng., 1999
Proceedings of the 6th IEEE International Software Metrics Symposium (METRICS 1999), 1999
Proceedings of the 6th IEEE International Software Metrics Symposium (METRICS 1999), 1999
Proceedings of the 6th IEEE International Software Metrics Symposium (METRICS 1999), 1999
Experience Paper: Preparing Measurements of Legacy Software for Predicting Operational Faults.
Proceedings of the 1999 International Conference on Software Maintenance, 1999
Predicting Fault-Prone Software Modules in Embedded Systems with Classification Trees.
Proceedings of the 4th IEEE International Symposium on High-Assurance Systems Engineering (HASE '99), 1999
Modelling software quality with GP.
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, 1999
Proceedings of the 3rd European Conference on Software Maintenance and Reengineering (CSMR '99), 1999
1998
Classification of Fault-Prone Software Modules: Prior Probabilities, Costs, and Model Evaluation.
Empir. Softw. Eng., 1998
Proceedings of the Ninth International Symposium on Software Reliability Engineering, 1998
Proceedings of the 1998 International Conference on Software Maintenance, 1998
Hitting the Moving Target: Trials and Tribulations of Modeling Quality in Evolving Software Systems.
Proceedings of the 1998 International Conference on Software Maintenance, 1998
The Application of Fuzzy Enhanced Case-Based Reasoning for Identifying Fault-Prone Modules.
Proceedings of the 3rd IEEE International Symposium on High-Assurance Systems Engineering (HASE '98), 1998
1997
Application of neural networks to software quality modeling of a very large telecommunications system.
IEEE Trans. Neural Networks, 1997
An Information Theory-Based Approach to Quantifying the Contribution of a Software Metric.
J. Syst. Softw., 1997
Proceedings of the 4th IEEE International Software Metrics Symposium (METRICS 1997), 1997
Proceedings of the Eighth International Symposium on Software Reliability Engineering, 1997
Proceedings of the Eighth International Symposium on Software Reliability Engineering, 1997
Proceedings of the 2nd High-Assurance Systems Engineering Workshop (HASE '97), 1997
1996
IEEE Trans. Reliab., 1996
Empir. Softw. Eng., 1996
Detection of software modules with high debug code churn in a very large legacy system.
Proceedings of the Seventh International Symposium on Software Reliability Engineering, 1996
Proceedings of the Seventh International Symposium on Software Reliability Engineering, 1996
Using the genetic algorithm to build optimal neural networks for fault-prone module detection.
Proceedings of the Seventh International Symposium on Software Reliability Engineering, 1996
Proceedings of the 1996 International Conference on Software Maintenance (ICSM '96), 1996
Proceedings of the 1st High-Assurance Systems Engineering Workshop (HASE '96), 1996
1995
Performance Analysis of a Peer-to-Peer I/O Architecture in Video Server Environments.
Multim. Tools Appl., 1995
A Performance Analysis of an Object-Based I/O Architecture in a Video Server Environment.
Multim. Syst., 1995
A neural network approach for early detection of program modules having high risk in the maintenance phase.
J. Syst. Softw., 1995
Softw. Eng. J., 1995
Proceedings of the Sixth International Symposium on Software Reliability Engineering, 1995
Proceedings of the Sixth International Symposium on Software Reliability Engineering, 1995
Proceedings of the International Conference on Software Maintenance, 1995
Proceedings of the 1st IEEE International Conference on Engineering of Complex Computer Systems (ICECCS '95), 1995
1994
Multim. Syst., 1994
Multim. Syst., 1994
J. Syst. Softw., 1994
A comparative study of pattern recognition techniques for quality evaluation of telecommunications software.
IEEE J. Sel. Areas Commun., 1994
A performance analysis of advanced I/O architectures for PC-based network file servers.
Distributed Syst. Eng., 1994
Computer, 1994
Are the principal components of software complexity data stable across software products?
Proceedings of the 1994 IEEE 2nd International Software Metrics Symposium, 1994
Proceedings of the 5th International Symposium on Software Reliability Engineering, 1994
Proceedings of the International Conference on Software Maintenance, 1994
Proceedings of the International Conference on Software Maintenance, 1994
1993
A high-level performance analysis of the IBM subsystem control block (SCB) architecture.
Microprocess. Microprogramming, 1993
A Performance Analysis of the IBM Subsystem Control Block Architecture in a Video Conferencing Environment.
Proceedings of the First ACM International Conference on Multimedia '93, 1993
Proceedings of the First International Software Metrics Symposium, 1993
Proceedings of the Fourth International Symposium on Software Reliability Engineering, 1993
A Comparative Study of Predictive Models for Program Changes During System Testing and Maintenance.
Proceedings of the Conference on Software Maintenance, 1993
1992
IEEE Trans. Software Eng., 1992
J. Syst. Softw., 1992
Proceedings of the Third International Symposium on Software Reliability Engineering, 1992
Proceedings of the Conference on Software Maintenance, 1992
1991
Proceedings of the Second International Symposium on Software Reliability Engineering, 1991
Proceedings of the Second International Symposium on Software Reliability Engineering, 1991
1990
J. Syst. Softw., 1990
IEEE J. Sel. Areas Commun., 1990
Proceedings of the Fourteenth Annual International Computer Software and Applications Conference, 1990
1989
Proceedings of the 11th International Conference on Software Engineering, 1989