Author

Burak Yelmen

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#machine learning Preprint Oct 2025

PRIVET: PRoximIty leakage detection Via Extreme value Theory

It is empirically demonstrated that PRIVET detects memorization and more subtle forms of proximity-based data leakage across diverse data modalities, including settings with very high dimensionality and limited sample sizes such as genetic data, and in underfitting regimes that overfitting-based diagnostics cannot reac...

Antoine Szatkownik, A. Decelle, Beatriz Seoane et al. · 1 citation

Open access Aug 2026

Detecting CYP2C19 deletions from genotyping array signals using neural networks

This work developed a neural network model, nnCNV, to predict deletions in the CYP2C19 pharmacogene region from array intensity signals and demonstrated that long-range information, which cannot be utilized by hidden Markov models, can improve CNV calling.

Burak Yelmen, R. Hofmeister, Viido Kaur Lutsar et al. · bioRxiv · 0 citations