Automatic feature extraction to create flexible self-learning fuzzy recommender algorithms in the context of explainable systems
|Author||Jose alberto MANCERA ANDRADE|
|Director of thesis||Prof. Edy Portman|
|Co-director of thesis||Dr. Luis Terán|
|Summary of thesis||
The project is defined under the soft computing domain and it seeks to understand human interaction with Beekeeper through dynamic features and mathematical models, which are tolerant of imprecision, uncertainty, partial truth and approximation.
These models are intended to be used not only to create flexible self-learning recommender algorithms but also be able to explain the data inputs and outputs of the predictions of these models in a human understandable way.
|Administrative delay for the defence||2023|