2 citations · 4 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2021★ 2 cited
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
Natalia Díaz-Rodríguez, Alberto Lamas, Jules Sanchez +7
The latest Deep Learning (DL) models for detection and classification have achieved an unprecedented performance over classical machine learning algorithms. However, DL models are…