Rob J. Kulathinal

Molecular Biology · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rob J. Kulathinal trusts

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

  1. Mark Newman (in Statistical and Nonlinear Physics)

Papers from Rob J. Kulathinal's perspective

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

  1. Word Representations: A Simple and General Method for Semi-Supervised Learning
  2. Latent Dirichlet Allocation
  3. Neural Word Embedding as Implicit Matrix Factorization
  4. DeepWalk: online learning of social representations
  5. Modularity and community structure in networks.
  6. Clustering Longitudinal Clinical Marker Trajectories from Electronic Health Data: Applications to Phenotyping and Endotype Discovery
  7. Marble: high-throughput phenotyping from electronic health records via sparse nonnegative tensor factorization
  8. Leveraging social media networks for classification
  9. Next-generation phenotyping of electronic health records
  10. The eMERGE Network: A consortium of biorepositories linked to electronic medical records data for conducting genomic studies (BMC Medical Genomics)

Their papers