3 citations · 6 across the 4 of their papers we have counts for
4 papers
ML with HE: Privacy Preserving Machine Learning Inferences for Genome Studies
Ş. S. Mağara, C. Yıldırım, F. Yaman +6
Preserving the privacy and security of big data in the context of cloud computing, while maintaining a certain level of efficiency of its processing remains to be a subject, open f…
Active Learning Methods based on Statistical Leverage Scores
Cem Orhan, Oznur Tastan
In many real-world machine learning applications, unlabeled data are abundant whereas class labels are expensive and scarce. An active learner aims to obtain a model of high accura…
Identification of Cancer Patient Subgroups via Smoothed Shortest Path Graph Kernel
Ali Burak Ünal, Öznur Taştan
Characterizing patient somatic mutations through next-generation sequencing technologies opens up possibilities for refining cancer subtypes. However, catalogues of mutations revea…
ALEVS: Active Learning by Statistical Leverage Sampling
Cem Orhan, Öznur Taştan
Active learning aims to obtain a classifier of high accuracy by using fewer label requests in comparison to passive learning by selecting effective queries. Many active learning me…