Andri Mirzal

Molecular Biology · 2016

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 Andri Mirzal trusts overall

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

  1. David E. Goldberg
  2. Chris H. Q. Ding
  3. Feiping Nie
  4. Daniela M. Witten
  5. Piyushkumar A. Mundra
  6. Anil K. Jain
  7. Christos Boutsidis
  8. Cathy Maugis
  9. Roy Varshavsky
  10. Ali Anaissi

Papers from Andri Mirzal's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling (Nature)
  3. Gradient-based learning applied to document recognition
  4. ImageNet classification with deep convolutional neural networks
  5. Selection of Relevant Features and Examples in Machine Learning
  6. Gene expression-based classification of malignant gliomas correlates better with survival than histological classification. (Cancer Research)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Classification and diagnostic prediction of cancers using gene expression profiling and artificial neural networks
  9. Feature Selection for Unsupervised Learning (Journal of machine learning research)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers