Jason Van Hulse

Publication Activity (10 Years)

Years Active: 2005-2021
Publications (10 Years): 1

Top Topics

Nearest Neighbor

Software Quality

Top Venues

Netw. Model. Anal. Health Informatics Bioinform.

Publications

Jason Van Hulse, Joshua S. Friedman
Deep Learning Chromatic and Clique Numbers of Graphs. CoRR (2021)
Jason Van Hulse, Taghi M. Khoshgoftaar
Incomplete-case nearest neighbor imputation in software measurement data. Inf. Sci. 259 (2014)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Andres Folleco
An empirical study of the classification performance of learners on imbalanced and noisy software quality data. Inf. Sci. 259 (2014)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
A Novel Noise-Resistant Boosting Algorithm for Class-Skewed Data. ICMLA (2) (2012)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald
Threshold-based feature selection techniques for high-dimensional bioinformatics data. Netw. Model. Anal. Health Informatics Bioinform. 1 (1-2) (2012)
Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald, Jason Van Hulse
Evaluation of the importance of data pre-processing order when combining feature selection and data sampling. Int. J. Bus. Intell. Data Min. 7 (1/2) (2012)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
Evaluating the Impact of Data Quality on Sampling. J. Inf. Knowl. Manag. 10 (3) (2011)
Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hulse, Kehan Gao
Metric Selection for Software Defect Prediction. Int. J. Softw. Eng. Knowl. Eng. 21 (2) (2011)
Wilker Altidor, Taghi M. Khoshgoftaar, Jason Van Hulse
Robustness of Filter-Based Feature Ranking: A Case Study. FLAIRS Conference (2011)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
A comparative evaluation of feature ranking methods for high dimensional bioinformatics data. IRI (2011)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
An exploration of learning when data is noisy and imbalanced. Intell. Data Anal. 15 (2) (2011)
Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Comparing Boosting and Bagging Techniques With Noisy and Imbalanced Data. IEEE Trans. Syst. Man Cybern. Part A 41 (3) (2011)
Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald, Jason Van Hulse
Comparison of approaches to alleviate problems with high-dimensional and class-imbalanced data. IRI (2011)
Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hulse
A Comparative Study of Threshold-Based Feature Selection Techniques. GrC (2010)
Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Supervised neural network modeling: an empirical investigation into learning from imbalanced data with labeling errors. IEEE Trans. Neural Networks 21 (5) (2010)
Taghi M. Khoshgoftaar, Kehan Gao, Jason Van Hulse
A novel feature selection technique for highly imbalanced data. IRI (2010)
David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Jason Van Hulse
Comparative Analysis of DNA Microarray Data through the Use of Feature Selection Techniques. ICMLA (2010)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
Evaluating the impact of data quality on sampling. IRI (2010)
Kehan Gao, Taghi M. Khoshgoftaar, Jason Van Hulse
An Evaluation of Sampling on Filter-Based Feature Selection Methods. FLAIRS Conference (2010)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
An Empirical Evaluation of Repetitive Undersampling Techniques. Int. J. Softw. Eng. Knowl. Eng. 20 (2) (2010)
Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse
Predicting Faults in High Assurance Software. HASE (2010)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
A Novel Noise Filtering Algorithm for Imbalanced Data. ICMLA (2010)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance. IEEE Trans. Syst. Man Cybern. Part A 40 (1) (2010)
Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse
A Study on the Relationships of Classifier Performance Metrics. ICTAI (2009)
Wilker Altidor, Taghi M. Khoshgoftaar, Jason Van Hulse
An Empirical Study on Wrapper-Based Feature Ranking. ICTAI (2009)
Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Identifying Learners Robust to Low Quality Data. Informatica (Slovenia) 33 (3) (2009)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse
Improving Software-Quality Predictions With Data Sampling and Boosting. IEEE Trans. Syst. Man Cybern. Part A 39 (6) (2009)
Naeem Seliya, Taghi M. Khoshgoftaar, Jason Van Hulse
Aggregating Performance Metrics for Classifier Evaluation. IRI (2009)
Jason Van Hulse, Taghi M. Khoshgoftaar
Knowledge discovery from imbalanced and noisy data. Data Knowl. Eng. 68 (12) (2009)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse
Hybrid sampling for imbalanced data. Integr. Comput. Aided Eng. 16 (3) (2009)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald
Feature Selection with High-Dimensional Imbalanced Data. ICDM Workshops (2009)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
An Empirical Comparison of Repetitive Undersampling Techniques. IRI (2009)
Taghi M. Khoshgoftaar, Jason Van Hulse
Empirical Case Studies in Attribute Noise Detection. IEEE Trans. Syst. Man Cybern. Part C 39 (4) (2009)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Resampling or Reweighting: A Comparison of Boosting Implementations. ICTAI (1) (2008)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
RUSBoost: Improving classification performance when training data is skewed. ICPR (2008)
Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Lofton A. Bullard
Identifying learners robust to low quality data. IRI (2008)
Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Lofton A. Bullard
Software quality modeling: The impact of class noise on the random forest classifier. IEEE Congress on Evolutionary Computation (2008)
Jason Van Hulse, Taghi M. Khoshgoftaar
A comprehensive empirical evaluation of missing value imputation in noisy software measurement data. J. Syst. Softw. 81 (5) (2008)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse
Hybrid sampling for imbalanced data. IRI (2008)
Taghi M. Khoshgoftaar, Jason Van Hulse
Imputation techniques for multivariate missingness in software measurement data. Softw. Qual. J. 16 (4) (2008)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Improving Learner Performance with Data Sampling and Boosting. ICTAI (1) (2008)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
A Comparative Study of Data Sampling and Cost Sensitive Learning. ICDM Workshops (2008)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Building Useful Models from Imbalanced Data with Sampling and Boosting. FLAIRS Conference (2008)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
Experimental perspectives on learning from imbalanced data. ICML (2007)
Jason Van Hulse, Taghi M. Khoshgoftaar
Incomplete-Case Nearest Neighbor Imputation in Software Measurement Data. IRI (2007)
Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert, Lili Zhao
The multiple imputation quantitative noise corrector. Intell. Data Anal. 11 (3) (2007)
Andres Folleco, Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert
Learning from Software Quality Data with Class Imbalance and Noise. SEKE (2007)
Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse, Amri Napolitano, Andres Folleco
Learning with limited minority class data. ICMLA (2007)
Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano
Skewed Class Distributions and Mislabeled Examples. ICDM Workshops (2007)
Jason Van Hulse, Taghi M. Khoshgoftaar, Haiying Huang
The pairwise attribute noise detection algorithm. Knowl. Inf. Syst. 11 (2) (2007)
Taghi M. Khoshgoftaar, Moiz Golawala, Jason Van Hulse
An Empirical Study of Learning from Imbalanced Data Using Random Forest. ICTAI (2) (2007)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Andres Folleco
An Empirical Study of the Classification Performance of Learners on Imbalanced and Noisy Software Quality Data. IRI (2007)
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano
Mining Data with Rare Events: A Case Study. ICTAI (2) (2007)
Taghi M. Khoshgoftaar, Chris Seiffert, Jason Van Hulse
Polishing Noise in Continuous Software Measurement Data. SEKE (2006)
Taghi M. Khoshgoftaar, Jason Van Hulse
Multiple Imputation of Software Measurement Data: A Case Study. SEKE (2006)
Taghi M. Khoshgoftaar, Andres Folleco, Jason Van Hulse, Lofton A. Bullard
Software quality imputation in the presence of noisy data. IRI (2006)
Jason Van Hulse, Taghi M. Khoshgoftaar
Class noise detection using frequent itemsets. Intell. Data Anal. 10 (6) (2006)
Taghi M. Khoshgoftaar, Jason Van Hulse
Determining noisy instances relative to attributes of interest. Intell. Data Anal. 10 (3) (2006)
Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert
A Comparison of Software Fault Imputation Procedures. ICMLA (2006)
Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert, Lili Zhao
Noise correction using bayesian multiple imputation. IRI (2006)
Taghi M. Khoshgoftaar, Jason Van Hulse, Chris Seiffert
A Hybrid Approach to Cleansing Software Measurement Data. ICTAI (2006)
Taghi M. Khoshgoftaar, Jason Van Hulse
Identifying noisy features with the Pairwise Attribute Noise Detection Algorithm. Intell. Data Anal. 9 (6) (2005)
Taghi M. Khoshgoftaar, Jason Van Hulse
Identifying noise in an attribute of interest. ICMLA (2005)
Taghi M. Khoshgoftaar, Jason Van Hulse
Empirical case studies in attribute noise detection. IRI (2005)