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researcher

Francisco Herrera

19 papers hereh-index 1612.4k citations29 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author14

Across the 17 of 19 papers where every author was matched, so the position is known.

fields
  • cs.NE9
  • cs.AI4
  • cs.LG4
  • cs.CY1
  • eess.IV1
same name
  • Francisco Herrera — 9 papers, h 18
  • Francisco Herrera — 9 papers, h 4
  • Francisco Herrera — 3 papers, h 2
  • Francisco Herrera — 2 papers, h 6
  • Francisco Herrera — 2 papers, h 5
  • Francisco Herrera — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedA Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems

407 citations · 1k across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

3 papers · 1 filter

cs.AI2023★ 86 cited

General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance

Isaac Triguero, Daniel Molina, Javier Poyatos +2

Most applications of Artificial Intelligence (AI) are designed for a confined and specific task. However, there are many scenarios that call for a more general AI, capable of solvi…

cs.CY2023★ 35 cited

Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation

Natalia Díaz-Rodríguez, Javier Del Ser, Mark Coeckelbergh +3

Trustworthy Artificial Intelligence (AI) is based on seven technical requirements sustained over three main pillars that should be met throughout the system's entire life cycle: it…

cs.NE2023★ 18 cited

Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness

Javier Poyatos, Daniel Molina, Aitor Martínez +2

Evolutionary Computation algorithms have been used to solve optimization problems in relation with architectural, hyper-parameter or training configuration, forging the field known…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.