Bapu Koundinya Desiraju

2016

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Bapu Koundinya Desiraju trusts overall

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

1. Finale Doshi-Velez
2. David M. Blei
3. David Roi Hardoon
4. Mohammed Saeed

Papers from Bapu Koundinya Desiraju's perspective

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

1. Latent Dirichlet Allocation
2. Scikit-learn: Machine Learning in Python
3. Unsupervised pattern discovery in electronic health care data using probabilistic clustering models
4. Relations Between Two Sets of Variates
5. Unfolding Physiological State: Mortality Modelling in Intensive Care Units
6. Canonical Correlation Analysis: An Overview with Application to Learning Methods
7. Deep Computational Phenotyping
8. ImageNet classification with deep convolutional neural networks
9. Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery
10. MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring (Computers in cardiology)

Their papers

• Predicting Complications in Critical Care Using Heterogeneous Clinical Data (2016) — 41 citations