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Yannet Interian

Researcher at University of San Francisco

Publications -  30
Citations -  608

Yannet Interian is an academic researcher from University of San Francisco. The author has contributed to research in topics: Deep learning & Computer science. The author has an hindex of 11, co-authored 28 publications receiving 469 citations. Previous affiliations of Yannet Interian include Google & University of California, San Francisco.

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Journal ArticleDOI

Catching a viral video

TL;DR: This paper analyzes sharing and its relationship to video popularity using millions of YouTube videos to better understand viral videos on YouTube and develops a method for ranking blogs and websites on their ability to spread viral videos.
Journal ArticleDOI

Deep nets vs expert designed features in medical physics: An IMRT QA case study.

TL;DR: Convolutional neural networks (CNNs) with transfer learning can predict IMRT QA passing rates by automatically designing features from the fluence maps without human expert supervision.
Journal ArticleDOI

Expert-augmented machine learning

TL;DR: In this article, an automated method that guides the extraction of expert knowledge and its integration into machine-learned models is presented, which improves performance on out-of-sample data and is able to train with less data.
Proceedings ArticleDOI

Catching a Viral Video

TL;DR: This paper seeks to better understand viral videos on You Tube by analyzing sharing and its relationship to video popularity using 1.5 million You Tube videos to find that highly social videos behave differently than less social videos.