Enrique Fernández-Macías

Economics and Econometrics · 2005–2020

A researcher in the Science corpus: 9 papers; trusts 24 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Enrique Fernández-Macías trusts overall

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

  1. Daron Acemoglu
  2. D. Gallie
  3. Kim A. Weeden
  4. Erik Olin Wright
  5. David H. Autor
  6. Rachel E. Dwyer
  7. F. Green
  8. Giovanni L. Violante
  9. Andrew E. Clark
  10. José Hernandez-Orallo

Who trusts Enrique Fernández-Macías overall

  1. Daniel Oesch
  2. Milena Nikolova
  3. G. Piccitto
  4. Michelle J. Budig
  5. F. Cnossen
  6. A. Kalleberg
  7. Rachel E. Dwyer

Papers from Enrique Fernández-Macías's perspective

Ordered by how strongly the researchers Enrique Fernández-Macías trusts endorse each paper. Same corpus, a different order for every researcher.

  1. What Can Machines Learn, and What Does It Mean for Occupations and the Economy?
  2. The Impact of Artificial Intelligence on the Labor Market
  3. A Method to Link Advances in Artificial Intelligence to Occupational Abilities
  4. Learning Multiple Layers of Features from Tiny Images
  5. ImageNet: A large-scale hierarchical image database
  6. Skills, Tasks and Technologies: Implications for Employment and Earnings. NBER Working Paper No. 16082.
  7. The Growth of Low-Skill Service Jobs and the Polarization of the US Labor Market
  8. Microsoft COCO: Common Objects in Context
  9. Replication data for: Why Are There Still So Many Jobs? The History and Future of Workplace Automation
  10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers