Raheel Sayeed

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Raheel Sayeed trusts overall

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

  1. Radford M. Neal
  2. H. Brendan McMahan
  3. Jakub Konecný
  4. Jesse Davis

Papers from Raheel Sayeed's perspective

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

  1. Pattern Recognition and Machine Learning
  2. Federated Learning: Strategies for Improving Communication Efficiency
  3. Communication-Efficient Learning of Deep Networks from Decentralized Data
  4. The eICU Collaborative Research Database, a freely available multi-center database for critical care research
  5. Federated Optimization: Distributed Machine Learning for On-Device Intelligence
  6. The relationship between Precision-Recall and ROC curves
  7. The rise of "big data" on cloud computing: Review and open research issues (Information Systems)
  8. Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review
  9. Personalized machine learning for robot perception of affect and engagement in autism therapy (Science Robotics)
  10. SMART on FHIR: a standards-based, interoperable apps platform for electronic health records (J. Am. Medical Informatics Assoc.)

Their papers