Mohammed Affan Zidan

Electrical and Electronic Engineering · 2010–2018

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohammed Affan Zidan trusts overall

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

  1. Yuriy V. Pershin
  2. M. Di Ventra
  3. Dmitri B. Strukov
  4. Fabien Alibart
  5. Patrick Sheridan
  6. G. Snider
  7. Chao Du
  8. J. Joshua Yang
  9. Mirko Prezioso
  10. Dalibor Biolek

Papers from Mohammed Affan Zidan's perspective

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

  1. Gradient-based learning applied to document recognition
  2. The mnist database of handwritten digits
  3. Circuit Elements With Memory: Memristors, Memcapacitors, and Meminductors (Proceedings of the IEEE)
  4. ImageNet classification with deep convolutional neural networks
  5. The elusive memristor: properties of basic electrical circuits
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Long Short-Term Memory
  8. Deep Learning
  9. Mastering the game of Go with deep neural networks and tree search
  10. High precision tuning of state for memristive devices by adaptable variation-tolerant algorithm (Nanotechnology)

Their papers