Thesis offers

You are here

Check offers of other studies and specializations

The master thesis consists of developing a framework for Group Recommender Systems and investigating the methods for generating recommendations to groups.

Data Science and Computational Intelligence Knowledge Engineering and Machine Learning Modelling, Reasoning and Problem Solving Hot Topics in AI and Professional Practice

MASTER THESIS (TFM) / RESEARCH CONTRACT: The main goal of the work will be to design and develop a prototype of a recommender system based on the use, exploitation and extension of the OntoCAPE ontology for a decision-making support tool in the design of alternative processes closing material loops in chemical supply chains.

This project aims to analyze the prediction capability of Optical Coherence Tomography Angiography (OCTA) images for Diabetes Mellitus (DM) and Diabetic Retinopathy (DR,) in a large high-quality image dataset from previous research projects carried out in the field of Ophthalmology (Fundacio¿ La Marato¿ TV3, Fondo Investigaciones Sanitarias, FIS). OCTA is a newly developed, non-invasive, retinal imaging technique that permits adequate delineation of the perifoveal vascular network. It allows the detection of paramacular areas of capillary non perfusion and/or enlargement of the foveal avascular zone (FAZ), representing an excellent tool for assessment of DR.

The goal of this project is to analyze state-of-the-art metrics[1] that combines them to quantify the equality of learning opportunities among learners and mitigate the inequalities generated by the recommender systems as post-processed approach that balances personalization and learning opportunity equality in recommendations

The goal of this project is to analyze and mitigate bias in collaborative filtering recommender systems.

Check offers of other studies and specializations