Ian Blaby

Scientific Reports · 2016

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 Ian Blaby trusts

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

  1. Andrew P. Bradley (in Evaluation & Benchmarks)

Papers from Ian Blaby's perspective

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

  1. Deep Learning
  2. The use of the area under the ROC curve in the evaluation of machine learning algorithms
  3. Isolation by size of epithelial tumor cells : a new method for the immunomorphological and molecular characterization of circulatingtumor cells. (American Journal of Pathology)
  4. CellProfiler: image analysis software for identifying and quantifying cell phenotypes
  5. The hydrodynamic focusing effect inside rectangular microchannels
  6. The meaning and use of the area under a receiver operating characteristic (ROC) curve.
  7. Stochasticity in gene expression: from theories to phenotypes (Nature reviews genetics)
  8. Isolation of rare circulating tumour cells in cancer patients by microchip technology (Nature)
  9. Serial time-encoded amplified imaging for real-time observation of fast dynamic phenomena (Nature)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers