Maya Rotmensch

Scientific Reports · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Maya Rotmensch trusts overall

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

  1. David Ruppert
  2. Justin Zobel
  3. Ishna Neamatullah
  4. Kevin P. Murphy
  5. Wendy W. Chapman
  6. Narges Razavian
  7. Marek J Druzdzel

Who trusts Maya Rotmensch overall

  1. Michelle M. Li
  2. Marinka Zitnik
  3. Xiang Yue
  4. Xiaohan Zou
  5. Yuxi Li
  6. Kexin Huang
  7. Daniel Oñoro-Rubio

Papers from Maya Rotmensch's perspective

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

  1. Causality : Models , Reasoning , and Inference
  2. A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge Summaries (Journal of Biomedical Informatics)
  3. Machine learning - a probabilistic perspective
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. Report on the need for and provision of an 'ideal' information retrieval test collection
  6. Learning Bayesian network parameters from small data sets: application of Noisy-OR gates
  7. How reliable are the results of large-scale information retrieval experiments?
  8. Automated De-Identification of Free-Text Medical Records
  9. Population-Level Prediction of Type 2 Diabetes From Claims Data and Analysis of Risk Factors
  10. ImageNet classification with deep convolutional neural networks

Their papers