Mahmoud Shepero

2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Mahmoud Shepero trusts overall

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

  1. Andrew Gordon Wilson
  2. Tao Hong
  3. Hao Quan
  4. Agathe Girard
  5. Ryan P. Adams
  6. Shu Fan
  7. Carl E. Rasmussen
  8. Dipti Srinivasan

Papers from Mahmoud Shepero's perspective

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

  1. Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting
  2. Gaussian Process Kernels for Pattern Discovery and Extrapolation
  3. Probabilistic electric load forecasting: A tutorial review
  4. A review on time series forecasting techniques for building energy consumption
  5. Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals (IEEE Transactions on Neural Networks and Learning Systems)
  6. Theil's Forecast Accuracy Coefficient: A Clarification
  7. ImageNet classification with deep convolutional neural networks
  8. Learning Multiple Layers of Features from Tiny Images
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers