Ali Fiaz

Electrical and Electronic Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Electrical and Electronic Engineering — 16 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Artificial Intelligence — 9 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Ali Fiaz trusts overall

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

1. Rafal Weron
2. Shu Fan
3. Zidan A. Bashir
4. Daniel L. Marino
5. Seunghyoung Ryu
6. David Ruppert
7. Elena Mocanu

Who trusts Ali Fiaz overall

1. Alberto Gasparin

Papers from Ali Fiaz's perspective

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

1. Deep Learning
2. Representation Learning: A Review and New Perspectives
3. ImageNet classification with deep convolutional neural networks
4. Neural networks for short-term load forecasting: a review and evaluation
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Deep learning for estimating building energy consumption
10. Time series analysis, forecasting and control

Their papers

• Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches † (2018) — 845 citations