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researcher

Francisco Herrera

9 papers hereh-index 471 citations9 works total

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

author position
  • first author1
  • middle author2
  • last author5

Across the 8 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.CR2
  • cs.AI1
  • cs.HC1
  • cs.LG1
  • cs.SE1
same name
  • Francisco Herrera — 19 papers, h 16
  • Francisco Herrera — 9 papers, h 18
  • 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
20242026
most citedAn overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability

2 citations · 4 across the 8 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.CR2024

FLEX: FLEXible Federated Learning Framework

Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido +6

In the realm of Artificial Intelligence (AI), the need for privacy and security in data processing has become paramount. As AI applications continue to expand, the collection and h…

cs.LG2024

An Interpretable Client Decision Tree Aggregation process for Federated Learning

Alberto Argente-Garrido, Cristina Zuheros, M. Victoria Luzón +1

Trustworthy Artificial Intelligence solutions are essential in today's data-driven applications, prioritizing principles such as robustness, safety, transparency, explainability, a…

cs.AI2024★ 2 cited

Large language models for crowd decision making based on prompt design strategies using ChatGPT: models, analysis and challenges

David Herrera-Poyatos, Cristina Zuheros, Rosana Montes +1

Social Media and Internet have the potential to be exploited as a source of opinion to enrich Decision Making solutions. Crowd Decision Making (CDM) is a methodology able to infer…

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