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ORCIDAmri Napolitano
- > Home > Persons > Amri Napolitano
Publications
- 2016
[c89]Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano:
Investigating the Variation of Ensemble Size on Bagging-Based Classifier Performance in Imbalanced Bioinformatics Datasets. IRI 2016: 377-383- [p1]David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano:
Is Data Sampling Required When Using Random Forest for Classification on Imbalanced Bioinformatics Data? Theoretical Information Reuse and Integration 2016: 157-171 - 2015
- [c88]David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano:
Selecting the Appropriate Ensemble Learning Approach for Balanced Bioinformatics Data. FLAIRS 2015: 329-334 - [c87]Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano:
Does the Inclusion of Data Sampling Improve the Performance of Boosting Algorithms on Imbalanced Bioinformatics Data? ICMLA 2015: 527-534 - [c85]Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano:
Investigating New Bootstrapping Approaches of Bagging Classifiers to Account for Class Imbalance in Bioinformatics Datasets. ICMLA 2015: 987-994 - [c83]Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman, Amri Napolitano:
Ensemble vs. Data Sampling: Which Option Is Best Suited to Improve Classification Performance of Imbalanced Bioinformatics Data? ICTAI 2015: 705-712 - [c82]Alireza Fazelpour, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano:
Choosing an Appropriate Ensemble Classifier for Balanced Bioinformatics Data. IRI 2015: 17-24 - [c81]Joseph D. Prusa, Taghi M. Khoshgoftaar, David J. Dittman, Amri Napolitano:
Using Random Undersampling to Alleviate Class Imbalance on Tweet Sentiment Data. IRI 2015: 197-202 - [c80]Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman, Amri Napolitano:
Alterations to the Bootstrapping Process within Random Forest: A Case Study on Imbalanced Bioinformatics Data. IRI 2015: 342-348 - [c79]David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano:
The Effect of Data Sampling When Using Random Forest on Imbalanced Bioinformatics Data. IRI 2015: 457-463 - 2014
- [c75]David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano:
Selecting the Appropriate Data Sampling Approach for Imbalanced and High-Dimensional Bioinformatics Datasets. BIBE 2014: 304-310 - [c73]David J. Dittman, Taghi M. Khoshgoftaar, Amri Napolitano, Alireza Fazelpour:
Select-Bagging: Effectively Combining Gene Selection and Bagging for Balanced Bioinformatics Data. BIBE 2014: 413-419 - [c72]Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman, Amri Napolitano:
Effects of the Use of Boosting on Classification Performance of Imbalanced Bioinformatics Datasets. BIBE 2014: 420-426 - [c71]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Comparison of Data Sampling Approaches for Imbalanced Bioinformatics Data. FLAIRS 2014 - [c67]Taghi M. Khoshgoftaar, Alireza Fazelpour, David J. Dittman, Amri Napolitano:
Classification performance of three approaches for combining data sampling and gene selection on bioinformatics data. IRI 2014: 315-321 - 2013
- [c63]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Classification Performance of Rank Aggregation Techniques for Ensemble Gene Selection. FLAIRS 2013 - [c60]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 - [c59]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Simplifying the Utilization of Machine Learning Techniques for Bioinformatics. ICMLA (2) 2013: 396-403 - [c58]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 - [c51]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Maximizing Classification Performance for Patient Response Datasets. ICTAI 2013: 454-462 - [c48]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 - [c47]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 - [c46]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Gene selection stability's dependence on dataset difficulty. IRI 2013: 341-348 - 2012
- [c42]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 - [c41]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 - [c40]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 - [c31]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 - [c30]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 - 2011
- [c26]David J. Dittman, Taghi M. Khoshgoftaar, Randall Wald, Amri Napolitano:
Random forest: A reliable tool for patient response prediction. BIBM Workshops 2011: 289-296
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