Shahab S. Band

Artificial Intelligence · 2020–2022

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

Subfields

Whom Shahab S. Band trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Corinna Cortes
  3. Mohammad Rezaie-Balf
  4. Vladimir Naumovich Vapnik

Papers from Shahab S. Band's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Support-Vector Networks
  5. The Nature of Statistical Learning Theory
  6. Dropout: a simple way to prevent neural networks from overfitting
  7. Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds.
  8. Forecasting of meteorological drought using Wavelet-ANFIS hybrid model for different time steps (case study: southeastern part of east Azerbaijan province, Iran) (Natural Hazards)
  9. A combined neural-wavelet model for prediction of Ligvanchai watershed precipitation (Engineering applications of artificial intelligence)
  10. ImageNet classification with deep convolutional neural networks

Their papers