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2010 – 2019
- 2016
[p1]Maryam M. Najafabadi, Flavio Villanustre
, Taghi M. Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic:
Deep Learning Techniques in Big Data Analytics. Big Data Technologies and Applications 2016: 133-156- 2015
- [j7]Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic:
Deep learning applications and challenges in big data analytics. J. Big Data 2: 1 (2015) - [j6]Richard Zuech, Taghi M. Khoshgoftaar, Randall Wald:
Intrusion detection and Big Heterogeneous Data: a Survey. J. Big Data 2: 3 (2015) - 2014
- [j5]Taghi M. Khoshgoftaar, Kehan Gao, Amri Napolitano, Randall Wald:
A comparative study of iterative and non-iterative feature selection techniques for software defect prediction. Inf. Syst. Frontiers 16(5): 801-822 (2014) - [j4]Matthew Herland, Taghi M. Khoshgoftaar, Randall Wald:
A review of data mining using big data in health informatics. J. Big Data 1: 2 (2014) - [c65]Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald:
Evaluation of Wrapper-Based Feature Selection Using Hard, Moderate, and Easy Bioinformatics Data. BIBE 2014: 149-155 - [c64]Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano:
Using Correlation-Based Feature Selection for a Diverse Collection of Bioinformatics Datasets. BIBE 2014: 156-162 - [c63]Randall Wald, Taghi M. Khoshgoftaar, Richard Zuech, Amri Napolitano:
Network Traffic Prediction Models for Near- and Long-Term Predictions. BIBE 2014: 362-368 - [c62]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Comparison of Data Sampling Approaches for Imbalanced Bioinformatics Data. FLAIRS 2014 - [c61]Kehan Gao, Taghi M. Khoshgoftaar, Randall Wald:
Combining Feature Selection and Ensemble Learning for Software Quality Estimation. FLAIRS 2014 - [c60]Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano:
Optimizing Wrapper-Based Feature Selection for Use on Bioinformatics Data. FLAIRS 2014 - [c59]Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
How ranker and learner choice affects classification performance on noisy bioinformatics data. IRI 2014: 277-282 - [c58]Randall Wald, Taghi M. Khoshgoftaar, Ahmad Abu Shanab:
The effect of noise level and distribution on classification of easy gene microarray data. IRI 2014: 297-302 - [c57]Gabriel Castaneda Oscos, Taghi M. Khoshgoftaar, Randall Wald:
Rotation invariant face recognition survey. IRI 2014: 835-840 - [c56]Randall Wald, Flavio Villanustre, Taghi M. Khoshgoftaar, Richard Zuech, Jarvis Robinson, Edin Muharemagic:
Using feature selection and classification to build effective and efficient firewalls. IRI 2014: 850-854 - 2013
- [j3]Randall Wald, Taghi M. Khoshgoftaar, John C. Sloan:
Feature Selection for Optimization of Wavelet Packet Decomposition in Reliability Analysis of Systems. Int. J. Artif. Intell. Tools 22(5) (2013) - [c55]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Classification Performance of Rank Aggregation Techniques for Ensemble Gene Selection. FLAIRS 2013 - [c54]Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman:
Ensemble Gene Selection Versus Single Gene Selection: Which Is Better? FLAIRS 2013 - [c53]Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano:
Random Forest with 200 Selected Features: An Optimal Model for Bioinformatics Research. ICMLA (1) 2013: 154-160 - [c52]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Simplifying the Utilization of Machine Learning Techniques for Bioinformatics. ICMLA (2) 2013: 396-403 - [c51]Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Amri Napolitano:
Contrasting Undersampled Boosting with Internal and External Feature Selection for Patient Response Datasets. ICMLA (2) 2013: 404-410 - [c50]Randall Wald, Taghi M. Khoshgoftaar, Ahmad Abu Shanab, Amri Napolitano:
Comparative Analysis on the Stability of Feature Selection Techniques Using Three Frameworks on Biological Datasets. ICMLA (1) 2013: 418-423 - [c49]Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano:
Comparison of Stability for Different Families of Filter-Based and Wrapper-Based Feature Selection. ICMLA (2) 2013: 457-464 - [c48]Matthew Herland, Taghi M. Khoshgoftaar, Randall Wald:
Survey of Clinical Data Mining Applications on Big Data in Health Informatics. ICMLA (2) 2013: 465-472 - [c47]Liz Aranguren Pachano, Taghi M. Khoshgoftaar, Randall Wald:
Survey of Data Cleansing and Monitoring for Large-Scale Battery Backup Installations. ICMLA (2) 2013: 478-484 - [c46]Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner:
Which Users Reply to and Interact with Twitter Social Bots? ICTAI 2013: 135-144 - [c45]Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano:
Stability of Filter- and Wrapper-Based Feature Subset Selection. ICTAI 2013: 374-380 - [c44]Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Wael Awada:
A Review of Ensemble Classification for DNA Microarrays Data. ICTAI 2013: 381-389 - [c43]Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano:
How the Choice of Wrapper Learner and Performance Metric Affects Subset Evaluation. ICTAI 2013: 426-432 - [c42]Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano:
Should the Same Learners Be Used Both within Wrapper Feature Selection and for Building Classification Models? ICTAI 2013: 439-445 - [c41]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Maximizing Classification Performance for Patient Response Datasets. ICTAI 2013: 454-462 - [c40]Randall Wald, Taghi M. Khoshgoftaar, Ahmad Abu Shanab:
Comparison of Two Frameworks for Measuring the Stability of Gene-Selection Techniques on Noisy Class-Imbalanced Data. ICTAI 2013: 881-888 - [c39]Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner:
Predicting susceptibility to social bots on Twitter. IRI 2013: 6-13 - [c38]Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano:
The importance of performance metrics within wrapper feature selection. IRI 2013: 105-111 - [c37]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Comparison of rank-based vs. score-based aggregation for ensemble gene selection. IRI 2013: 225-231 - [c36]Randall Wald, Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman:
Hidden dependencies between class imbalance and difficulty of learning for bioinformatics datasets. IRI 2013: 232-238 - [c35]Randall Wald, Taghi M. Khoshgoftaar:
Patient response datasets: Challenges and opportunities. IRI 2013: 254-261 - [c34]Taghi M. Khoshgoftaar, Randall Wald, David J. Dittman, Amri Napolitano:
Feature list aggregation approaches for ensemble gene selection on patient response datasets. IRI 2013: 317-324 - [c33]Randall Wald, Taghi M. Khoshgoftaar, Alireza Fazelpour:
The use of balance-aware subsampling for bioinformatics datasets. IRI 2013: 325-332 - [c32]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Gene selection stability's dependence on dataset difficulty. IRI 2013: 341-348 - [c31]Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano:
Filter- and wrapper-based feature selection for predicting user interaction with Twitter bots. IRI 2013: 416-423 - [c30]Taghi M. Khoshgoftaar, Alireza Fazelpour, Huanjing Wang, Randall Wald:
A survey of stability analysis of feature subset selection techniques. IRI 2013: 424-431 - [c29]Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
A Study on First Order Statistics-Based Feature Selection Techniques on Software Metric Data. SEKE 2013: 467-472 - 2012
- [b1]Randall Wald:
Vibration analysis for ocean turbine reliability models. Florida Atlantic University, Boca Raton, USA, 2012 - [j2]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): 116-134 (2012) - [j1]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): 47-61 (2012) - [c28]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Similarity analysis of feature ranking techniques on imbalanced DNA microarray datasets. BIBM 2012: 1-5 - [c27]Randall Wald, Taghi M. Khoshgoftaar, Ahmad Abu Shanab:
The effect of measurement approach and noise level on gene selection stability. BIBM 2012: 1-5 - [c26]Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald:
Robustness of Threshold-Based Feature Rankers with Data Sampling on Noisy and Imbalanced Data. FLAIRS 2012 - [c25]Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman:
Mean Aggregation versus Robust Rank Aggregation for Ensemble Gene Selection. ICMLA (1) 2012: 63-69 - [c24]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Determining the Number of Iterations Appropriate for Ensemble Gene Selection on Microarray Data. ICMLA (1) 2012: 82-89 - [c23]Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Alireza Fazelpour:
First Order Statistics Based Feature Selection: A Diverse and Powerful Family of Feature Seleciton Techniques. ICMLA (2) 2012: 151-157 - [c22]Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman:
A New Fixed-Overlap Partitioning Algorithm for Determining Stability of Bioinformatics Gene Rankers. ICMLA (2) 2012: 170-177 - [c21]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Comparing Two New Gene Selection Ensemble Approaches with the Commonly-Used Approach. ICMLA (2) 2012: 184-191 - [c20]Wael Awada, Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald:
The Effect of Number of Iterations on Ensemble Gene Selection. ICMLA (2) 2012: 198-203 - [c19]Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
A Comparative Study on the Stability of Software Metric Selection Techniques. ICMLA (2) 2012: 301-307 - [c18]Janell Duhaney, Taghi M. Khoshgoftaar, Randall Wald:
Applying Feature Selection to Short Time Wavelet Transformed Vibration Data for Reliability Analysis of an Ocean Turbine. ICMLA (1) 2012: 330-337 - [c17]Randall Wald, Taghi M. Khoshgoftaar, Amri Napolitano, Chris Sumner:
Using Twitter Content to Predict Psychopathy. ICMLA (2) 2012: 394-401 - [c16]Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
A novel dataset-similarity-aware approach for evaluating stability of software metric selection techniques. IRI 2012: 1-8 - [c15]Randall Wald, Taghi M. Khoshgoftaar, Chris Sumner:
Machine prediction of personality from Facebook profiles. IRI 2012: 109-115 - [c14]Wael Awada, Taghi M. Khoshgoftaar, David J. Dittman, Randall Wald, Amri Napolitano:
A review of the stability of feature selection techniques for bioinformatics data. IRI 2012: 356-363 - [c13]Randall Wald, Taghi M. Khoshgoftaar, David J. Dittman, Wael Awada, Amri Napolitano:
An extensive comparison of feature ranking aggregation techniques in bioinformatics. IRI 2012: 377-384 - [c12]Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Impact of noise and data sampling on stability of feature ranking techniques for biological datasets. IRI 2012: 415-422 - [c11]Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
An Empirical Study of Software Metric Selection Techniques for Defect Prediction. SEKE 2012: 94-99 - 2011
- [c10]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Huanjing Wang:
Stability Analysis of Feature Ranking Techniques on Biological Datasets. BIBM 2011: 252-256 - [c9]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Random forest: A reliable tool for patient response prediction. BIBM Workshops 2011: 289-296 - [c8]Randall Wald, Taghi M. Khoshgoftaar, John C. Sloan:
Using Feature Selection to Determine Optimal Depth for Wavelet Packet Decomposition of Vibration Signals for Ocean System Reliability. HASE 2011: 236-243 - [c7]Ahmad Abu Shanab, Taghi M. Khoshgoftaar, Randall Wald:
Impact of Noise and Data Sampling on Stability of Feature Selection. ICMLA (1) 2011: 172-177 - [c6]Randall Wald, Taghi M. Khoshgoftaar, John C. Sloan:
Feature Selection for Vibration Sensor Data Transformed by a Streaming Wavelet Packet Decomposition. ICTAI 2011: 978-985 - [c5]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: 234-239 - [c4]Huanjing Wang, Taghi M. Khoshgoftaar, Randall Wald:
Measuring robustness of Feature Selection techniques on software engineering datasets. IRI 2011: 309-314 - [c3]Randall Wald, Taghi M. Khoshgoftaar, John C. Sloan:
Fourier transforms for vibration analysis: A review and case study. IRI 2011: 366-371 - 2010
- [c2]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: 147-152
2000 – 2009
- 2009
- [c1]Jason Van Hulse, Taghi M. Khoshgoftaar, Amri Napolitano, Randall Wald:
Feature Selection with High-Dimensional Imbalanced Data. ICDM Workshops 2009: 507-514
Coauthor Index
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