M. Hansson

2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom M. Hansson trusts overall

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

1. Charles M. Bishop
2. Simon S. Haykin
3. David Enke
4. Suraphan Thawornwong
5. Kurt Hornik
6. A. Laffer
7. Rama Cont
8. Aleksandras Vytautas Rutkauskas
9. Grzegorz Lewicki
10. Sho Sonoda

Papers from M. Hansson's perspective

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

1. Neural Networks for Pattern Recognition
2. The use of data mining and neural networks for forecasting stock market returns
3. Empirical properties of asset returns: stylized facts and statistical issues
4. Neural networks for pattern recognition
5. Approximation capabilities of multilayer feedforward networks
6. Neural Network with Unbounded Activation Functions is Universal Approximator
7. Neural Networks: A Comprehensive Foundation
8. Investigation of financial market prediction by recurrent neural network
9. Efficient Capital Markets: A Review of Theory and Empirical Work
10. Approximation by Superpositions of a Sigmoidal Function

Their papers

• On stock return prediction with LSTM networks (2017) — 23 citations