GitLab

Project with the code produced for the Master Thesis "Predicting clinically relevant endpoints in ALS using machine learning".

Testing ARCore for web augmented reality in the scope of my thesis "Web Augmented Reality applied to Cultural Heritage"

MonteDosCastelinhosWebAR, a Web Augmented Reality application for Monte dos Castelinhos

OpenPLC Runtime version 3

Test application with AR.js using markers tracking in the scope of my thesis "Web Augmented Reality applied to Cultural Heritage"

Test application with AR.js using geolocation tracking in the scope of my thesis "Web Augmented Reality applied to Cultural Heritage"

Test application with AR.js using natural features tracking in the scope of my thesis "Web Augmented Reality applied to Cultural Heritage"

Test application with MindAR.js in the scope of my thesis "Web Augmented Reality applied to Cultural Heritage"

(v2)

Material de Programação I (LTI) de 2021/2022

A novel application of active and online learning to emotion recognition to reduce the amount of annotated images needed, in which we dynamically combine multiple active learning strategies and learn the best ones (without prior knowledge of them).