Yu Xin

Signal Processing · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Signal Processing — 5 citations into it

Whom Yu Xin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Patrik O. Hoyer
2. J. le Gall
3. Jessica Lin

Who trusts Yu Xin overall

1. Yuan Luo
2. Irena Spasic
3. Hrayr Harutyunyan

Papers from Yu Xin's perspective

Ordered by how strongly the researchers Yu Xin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Non-negative Matrix Factorization with Sparseness Constraints (Journal of machine learning research)
2. A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study.
3. Experiencing SAX: a novel symbolic representation of time series (Data mining and knowledge discovery)
4. Multiparameter Intelligent Monitoring in Intensive Care II : A public-access intensive care unit database
5. Learning the parts of objects by non-negative matrix factorization
6. Positive matrix factorization: A non-negative factor model with optimal utilization of error estimates of data values†
7. Regression Shrinkage and Selection via the Lasso
8. Algorithms for Non-negative Matrix Factorization
9. Non-negative sparse coding
10. The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Their papers

• Predicting ICU Mortality Risk by Grouping Temporal Trends from a Multivariate Panel of Physiologic Measurements (2016) — 68 citations
• Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text (2015) — 56 citations