Sam Fletcher

According to our database, Sam Fletcher authored at least 15 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Towards Protecting Sensitive Text with Differential Privacy.

Sam Fletcher, Adam Roegiest, Alexander K. Hudek

Proceedings of the 20th IEEE International Conference on Trust, 2021

2020

A non-specialized ensemble classifier using multi-objective optimization.

Sam Fletcher, Brijesh K. Verma, Mengjie Zhang

Neurocomputing, 2020

2019

Pruning High-Similarity Clusters to Optimize Data Diversity when Building Ensemble Classifiers.

Sam Fletcher, Brijesh K. Verma

Int. J. Comput. Intell. Appl., 2019

Decision Tree Classification with Differential Privacy: A Survey.

Sam Fletcher, Md Zahidul Islam

ACM Comput. Surv., 2019

2018

Comparing sets of patterns with the Jaccard index.

Sam Fletcher, Md Zahidul Islam

Australas. J. Inf. Syst., 2018

The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm.

Sam Fletcher, Brijesh K. Verma, Zohaib M. Jan, Mengjie Zhang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Optimizing clustering to promote data diversity when generating an ensemble classifier.

Zohaib M. Jan, Brijesh K. Verma, Sam Fletcher

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

Measuring Rule Retention in Anonymized Data - When One Measure Is Not Enough.

Sam Fletcher, Md Zahidul Islam

Trans. Data Priv., 2017

Differentially private random decision forests using smooth sensitivity.

Sam Fletcher, Md Zahidul Islam

Expert Syst. Appl., 2017

Removing Bias from Diverse Data Clusters for Ensemble Classification.

Sam Fletcher, Brijesh K. Verma

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2015

An anonymization technique using intersected decision trees.

Sam Fletcher, Md Zahidul Islam

J. King Saud Univ. Comput. Inf. Sci., 2015

Measuring pattern retention in anonymized data - where one measure is not enough.

Sam Fletcher, Md Zahidul Islam

CoRR, 2015

A Differentially Private Decision Forest.

Sam Fletcher, Md Zahidul Islam

Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

A Differentially Private Random Decision Forest Using Reliable Signal-to-Noise Ratios.

Sam Fletcher, Md Zahidul Islam

Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2014

Quality Evaluation of an Anonymized Dataset.

Sam Fletcher, Md Zahidul Islam

Proceedings of the 22nd International Conference on Pattern Recognition, 2014