Eneko Osaba

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eneko Osaba trusts overall

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

  1. Xin-She Yang
  2. David E. Goldberg
  3. Yaochu Jin
  4. Dervis Karaboga
  5. Marco Dorigo
  6. Kalyanmoy Deb
  7. Ponnuthurai Nagaratnam Suganthan
  8. Gerhard Reinelt
  9. Maurice Clerc
  10. Abhishek Gupta

Papers from Eneko Osaba's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Genetic Algorithms in Search Optimization and Machine Learning
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. A fast and elitist multiobjective genetic algorithm: NSGA-II
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
  10. Multi-objective optimization using evolutionary algorithms

Their papers