Daniel Molina

Artificial Intelligence · 2004–2021

A researcher in the Science corpus: 6 papers; trusts 30 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Molina trusts overall

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

  1. Kalyanmoy Deb
  2. Salvador Garcia
  3. Ponnuthurai Nagaratnam Suganthan
  4. Thomas Bartz-Beielstein
  5. Jaka Demsar
  6. J. Shaffer
  7. Yaochu Jin
  8. Francisco Herrera
  9. Xin-She Yang
  10. Nikolaus Hansen

Who trusts Daniel Molina overall

  1. Seyedali Mirjalili
  2. Pinar Çivicioglu
  3. Ali Asghar Heidari
  4. Hui Wang
  5. Jesús Alcalá-Fdez
  6. Seyed Mohammad Mirjalili
  7. Salvador Garcia
  8. Jacinto Carrasco
  9. Octavio Loyola-González
  10. Handing Wang

Papers from Daniel Molina's perspective

Ordered by how strongly the researchers Daniel Molina 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers