Daniel Yeung
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View article: Clinical and data-driven optimization of Genomiser for rare disease patients: experience from the Hong Kong Genome Project
Clinical and data-driven optimization of Genomiser for rare disease patients: experience from the Hong Kong Genome Project Open
Genomiser is a phenotype-driven tool that prioritizes coding and non-coding variants by relevance in rare disease diagnosis; yet comprehensive evaluation of its performance on real-life whole genome sequencing data is lacking. The Hong Kon…
View article: Report on 1912.05451v2
Report on 1912.05451v2 Open
First released in 2010, the Rivet library forms an important repository for analysis code, facilitating comparisons between measurements of the final state in particle collisions and theoretical calculations of those final states.We give a…
View article: Report on 1912.05451v2
Report on 1912.05451v2 Open
First released in 2010, the Rivet library forms an important repository for analysis code, facilitating comparisons between measurements of the final state in particle collisions and theoretical calculations of those final states.We give a…
View article: Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences
Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences Open
Convolutional Neural Network (CNN) achieved satisfying performance in click-through rate (CTR) prediction in recent studies. Since features used in CTR prediction have no meaningful sequence in nature, the features can be arranged in any o…
View article: Adversarial Feature Selection Against Evasion Attacks
Adversarial Feature Selection Against Evasion Attacks Open
Pattern recognition and machine learning techniques have been increasingly adopted in adversarial settings such as spam, intrusion, and malware detection, although their security against well-crafted attacks that aim to evade detection by …