Zurab Bzhalava

2019

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

Whom Zurab Bzhalava trusts overall

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

  1. Alex Krizhevsky
  2. Torsten Thomas
  3. Yu Peng
  4. Christof Angermueller
  5. H. Feng
  6. Jaina Mistry

Papers from Zurab Bzhalava's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Deep learning for computational biology
  4. Gradient-based learning applied to document recognition
  5. IDBA-UD: a de novo assembler for single-cell and metagenomic sequencing data with highly uneven depth (Bioinform.)
  6. SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler (GigaScience)
  7. Metagenomics - a guide from sampling to data analysis (Microbial Informatics and Experimentation)
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Challenges in homology search: HMMER3 and convergent evolution of coiled-coil regions

Their papers