Bing Zhu

Accounting · with Hu · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bing Zhu trusts overall

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

  1. Ayahiko Niimi
  2. Tony Bellotti
  3. Cuicui Luo
  4. David West
  5. Jonathan N. Crook
  6. Desheng Dash Wu
  7. Alex Krizhevsky

Who trusts Bing Zhu overall

  1. A. Ozbayoglu
  2. M. Ugur Gudelek

Papers from Bing Zhu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Neural network credit scoring models (Computers & Operations Research)
  4. Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research
  5. Support vector machines for credit scoring and discovery of significant features (Expert systems with applications)
  6. Recent developments in consumer credit risk assessment (European Journal of Operational Research)
  7. A deep learning approach for credit scoring using credit default swaps
  8. Credit scoring model: A combination of genetic programming and deep learning
  9. Deep learning for credit card data analysis
  10. A survey of deep neural network architectures and their applications

Their papers