Neda Tavakoli

Management Science and Operations Research · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 10 citations into it; #10,801 of 11,946 by trust here, #8,469 by citations
• Model Architectures — 9 citations into it
• Artificial Intelligence — 6 citations into it
• Finance — 6 citations into it

Whom Neda Tavakoli trusts overall

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

1. J. Urgen Schmidhuber
2. Nicolas Huck
3. Sepp Hochreiter
4. Mehdi Khashei
5. Felix Alexander Gers
6. Thomas G. Fischer
7. Mike Schuster
8. Christopher Krauss
9. Sima Siami‐Namini
10. Pierre Baldi

Who trusts Neda Tavakoli overall

1. Sima Siami‐Namini

Papers from Neda Tavakoli's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Reinforcement Learning: An Introduction

Their papers

• A Comparison of ARIMA and LSTM in Forecasting Time Series (2018) — 1,065 citations
• The Performance of LSTM and BiLSTM in Forecasting Time Series (2019) — 1,361 citations