Hisham Mahmood

IEEE Access · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Hisham Mahmood trusts overall

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

  1. Sepp Hochreiter
  2. J. Urgen Schmidhuber
  3. Can Wan

Papers from Hisham Mahmood's perspective

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

  1. Long Short-Term Memory
  2. Learning to Forget: Continual Prediction with LSTM
  3. A support vector machine–firefly algorithm-based model for global solar radiation prediction
  4. Photovoltaic and solar power forecasting for smart grid energy management
  5. Short-Term Photovoltaic Power Forecasting Based on Long Short Term Memory Neural Network and Attention Mechanism (IEEE Access)
  6. Forecasting Power Output of Photovoltaic Systems Based on Weather Classification and Support Vector Machines (IEEE transactions on industry applications)
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Learning long-term dependencies with gradient descent is difficult
  10. Learning Multiple Layers of Features from Tiny Images

Their papers