Amri Napolitano
According to our database1,
Amri Napolitano
authored at least 109 papers
between 1982 and 2018.
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Bibliography
2018
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018
2016
Is Data Sampling Required When Using Random Forest for Classification on Imbalanced Bioinformatics Data?
Proceedings of the Theoretical 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
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
Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016
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
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
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
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
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
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
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
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
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
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 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
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 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
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
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 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 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
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
Classification Performance of Rank Aggregation Techniques for Ensemble Gene Selection.
Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013
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
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
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 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
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
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
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
Similarity analysis of feature ranking techniques on imbalanced DNA microarray datasets.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
2011
IEEE Trans. Syst. Man Cybern. Part A, 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
Proceedings of the Advances in Knowledge Discovery and Data Mining, 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
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 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
2010
IEEE Trans. Syst. Man Cybern. Part A, 2010
Supervised neural network modeling: an empirical investigation into learning from imbalanced data with labeling errors.
IEEE Trans. Neural Networks, 2010
Int. J. Softw. Eng. Knowl. Eng., 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
Proceedings of the Bio-Inspired Models of Network, Information, and Computing Systems, 2010
2009
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009
Exploring Software Quality Classification with a Wrapper-Based Feature Ranking Technique.
Proceedings of the ICTAI 2009, 2009
Proceedings of the International Conference on Machine Learning and Applications, 2009
Proceedings of the ICDM Workshops 2009, 2009
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
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
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 Machine Learning, 2007
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
1982
Proceedings of the 19th Design Automation Conference, 1982