Ahmed Ali Abbasi

Artificial Intelligence · 2005–2022

A researcher in the Science corpus: 7 papers; trusts 40 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom Ahmed Ali Abbasi trusts overall

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

  1. J. Ross Quinlan
  2. Charalambos Spathis
  3. Jeannett Martin
  4. Dekang Lin
  5. Hsinchun Chen
  6. Vladimir Naumovich Vapnik
  7. Claude E. Shannon
  8. Chaomei Chen
  9. Ron Kohavi
  10. William W. Cohen

Who trusts Ahmed Ali Abbasi overall

  1. Patrick Mikalef
  2. Efstathios Stamatatos
  3. Hsinchun Chen
  4. Michael Brennan
  5. Maryam Ghasemaghaei
  6. Yunita Sari
  7. Bruno Ohana
  8. Naoki Shibata
  9. Rodrigo Moraes
  10. Manoochehr Ghiassi

Papers from Ahmed Ali Abbasi's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. ImageNet: A large-scale hierarchical image database
  9. GloVe: Global Vectors for Word Representation
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers