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Sam Fletcher
Sam Fletcher
Zuva
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Title
Cited by
Cited by
Year
Differentially private random decision forests using smooth sensitivity
S Fletcher, MZ Islam
Expert systems with applications 78, 16-31, 2017
642017
Decision tree classification with differential privacy: A survey
S Fletcher, MZ Islam
ACM Computing Surveys (CSUR) 52 (4), 1-33, 2019
592019
Comparing sets of patterns with the Jaccard index
S Fletcher, MZ Islam
Australasian Journal of Information Systems 22, 2018
502018
A Differentially Private Decision Forest.
S Fletcher, MZ Islam
AusDM 15, 99-108, 2015
362015
Measuring information quality for privacy preserving data mining
S Fletcher, MZ Islam
International Journal of Computer Theory and Engineering 7 (1), 21, 2015
322015
A differentially private random decision forest using reliable signal-to-noise ratios
S Fletcher, MZ Islam
Australasian joint conference on artificial intelligence, 192-203, 2015
162015
Removing bias from diverse data clusters for ensemble classification
S Fletcher, B Verma
International Conference on Neural Information Processing, 140-149, 2017
142017
Optimizing clustering to promote data diversity when generating an ensemble classifier
ZM Jan, B Verma, S Fletcher
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
132018
Quality evaluation of an anonymized dataset
S Fletcher, MZ Islam
2014 22nd International Conference on Pattern Recognition, 3594-3599, 2014
122014
An anonymization technique using intersected decision trees
S Fletcher, MZ Islam
Journal of King Saud University-Computer and Information Sciences 27 (3 …, 2015
112015
The optimized selection of base-classifiers for ensemble classification using a multi-objective genetic algorithm
S Fletcher, B Verma, ZM Jan, M Zhang
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
92018
A non-specialized ensemble classifier using multi-objective optimization
S Fletcher, B Verma, M Zhang
Neurocomputing 409, 93-102, 2020
52020
Measuring Rule Retention in Anonymized Data-When One Measure Is Not Enough.
S Fletcher, MZ Islam
Trans. Data Priv. 10 (3), 175-201, 2017
52017
Towards Protecting Sensitive Text with Differential Privacy
S Fletcher, A Roegiest, AK Hudek
2021 IEEE 20th International Conference on Trust, Security and Privacy in …, 2021
12021
Data mining and privacy: Modeling sensitive data with differential privacy
S Fletcher
CHARLES STURT UNIVERSITY, 2017
12017
Measuring pattern retention in anonymized data--where one measure is not enough
S Fletcher, MZ Islam
arXiv preprint arXiv:1512.07721, 2015
12015
Pruning High-Similarity Clusters to Optimize Data Diversity when Building Ensemble Classifiers
S Fletcher, B Verma
International Journal of Computational Intelligence and Applications 18 (04 …, 2019
2019
Measuring the Similarity between Rule Lists
S Fletcher, MZ Islam
The 14th Australasian Data Mining Conference: AusDM 2016, 1-8, 2016
2016
Hash the Universe: Differentially Private Text Extraction with Feature Hashing
S Fletcher, A Roegiest, AK Hudek
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Articles 1–19