Salim Lahmiri

Economics and Econometrics · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 18 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Economics and Econometrics — 20 citations into it; #6,979 of 23,481 by trust here, #13,596 by citations
• Finance — 8 citations into it
• Artificial Intelligence — 7 citations into it; #23,173 of 35,345 by trust here, #33,294 by citations
• Information Systems — 7 citations into it
• Management Science and Operations Research — 7 citations into it; #5,124 of 11,946 by trust here, #9,383 by citations
• Statistical and Nonlinear Physics — 5 citations into it; #4,630 of 10,127 by trust here, #8,564 by citations

Whom Salim Lahmiri trusts overall

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

1. Ingrid Daubechies
2. Stéphane Mallat
3. Pei-Chann Chang
4. Donald B. Percival
5. David E. Rumelhart
6. G. Zhang
7. Andrew T. Walden
8. Chin-Yuan Fan
9. Geoffrey E. Hinton
10. George V. Cybenko

Who trusts Salim Lahmiri overall

1. Xinxin He
2. Aytaç Altan
3. Anastasia Borovykh
4. Jungang Luo
5. Seçkin Karasu
6. Sander M. Bohte
7. Stelios D. Bekiros
8. Peng Li
9. Ganggang Zuo
10. Cornelis W. Oosterlee

Papers from Salim Lahmiri's perspective

Ordered by how strongly the researchers Salim Lahmiri 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. Gradient-based learning applied to document recognition
4. Learning representations by back-propagating errors
5. Attention is All you Need (Neural Information Processing Systems)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Histograms of oriented gradients for human detection

Their papers

• Wavelet low- and high-frequency components as features for predicting stock prices with backpropagation neural networks (2014) — 111 citations
• Cryptocurrency forecasting with deep learning chaotic neural networks (2019) — 312 citations
• Long memory in international financial markets trends and short movements during 2008 financial crisis based on variational mode decomposition and detrended fluctuation analysis (2015) — 97 citations
• Long-range memory, distributional variation and randomness of bitcoin volatility (2018) — 131 citations