Ajith Abraham

Artificial Intelligence · Engineering applications of artificial intelligence · 2000–2020

A researcher in the Science corpus: 21 papers; trusts 108 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Whom Ajith Abraham trusts overall

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

  1. Scott E. Fahlman
  2. Xin Yao
  3. David B. Fogel
  4. Xin-She Yang
  5. John H. Holland
  6. Martin Fodslette Møller
  7. Risto Miikkulainen
  8. Geoffrey E. Hinton
  9. Kevin M. Passino
  10. Frans van den Bergh

Who trusts Ajith Abraham overall

  1. George S. Atsalakis
  2. Andrea Soltoggio
  3. Andrés Camero
  4. Pinar Çivicioglu
  5. Kimon P. Valavanis
  6. Rui Pedro Barbosa
  7. Fangpeng Dong
  8. Swagatam Das
  9. Sumaiya Thaseen Ikram
  10. Zihao Zhang

Papers from Ajith Abraham's perspective

Ordered by how strongly the researchers Ajith Abraham 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. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers