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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.

Status beginning
Administrative delay for the defence 2023
LinkedIn https://www.linkedin.com/in/jose0628