Eva Dezsi

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Optimization & Training — 8 citations into it
• Model Architectures — 7 citations into it
• Management Science and Operations Research — 6 citations into it
• Economics and Econometrics — 5 citations into it

Whom Eva Dezsi trusts overall

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

1. Alex Graves
2. Tim Bollerslev
3. Geoffrey E. Hinton
4. George S. Atsalakis
5. Yudong Zhang
6. Nitish Srivastava
7. Alex Krizhevsky
8. Yoshua Bengio
9. Sepp Hochreiter
10. J. Urgen Schmidhuber

Who trusts Eva Dezsi overall

1. Omer Berat Sezer
2. M. Ugur Gudelek
3. A. Ozbayoglu

Papers from Eva Dezsi's perspective

Ordered by how strongly the researchers Eva Dezsi 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• CAN DEEP MACHINE LEARNING OUTSMART THE MARKET? A COMPARISON BETWEEN ECONOMETRIC MODELLING AND LONG- SHORT TERM MEMORY (2016) — 17 citations