Julie Ann McCann

Electrical and Electronic Engineering · 2008–2017

A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Julie Ann McCann trusts overall

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

  1. Jeffrey O. Kephart
  2. Daniel Jackson
  3. William E. Walsh
  4. G. Tesauro
  5. Shimon Whiteson
  6. David Garlan
  7. Richard S. Sutton
  8. Rajkumar Buyya
  9. Wendi Rabiner Heinzelman
  10. David B. Johnson

Papers from Julie Ann McCann's perspective

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

  1. Reinforcement Learning: An Introduction
  2. The Vision of Autonomic Computing (Computer)
  3. Utility functions in autonomic systems (International Conference on Autonomic Computing, 2004. Proceedings.)
  4. Calibrating Noise to Sensitivity in Private Data Analysis
  5. Resource Allocation for Autonomic Data Centers using Analytic Performance Models (International Conference on Automation and Computing)
  6. A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation (International Conference on Automation and Computing)
  7. ImageNet classification with deep convolutional neural networks
  8. Introduction to Reinforcement Learning
  9. Gradient-based learning applied to document recognition
  10. Cooperative Non-Orthogonal Multiple Access in 5G Systems (IEEE Communications Letters)

Their papers