This work aims to continue the previously developed project, called ARWithMaps, which implements techniques of visualization of points of interest in Augmented Reality including clues to points of interest outside the field of view and using maps. Additionally, it is...
RoseTrajVis is a system for analyzing trajectories using graphics inspired in wind roses. The elements of the rose include petals that aggregate trajectories given their direction and that also show their average speeds within an area around a point in a map, as well...
ChemRecSys (Chemical Compounds Recommender System) is a system for recommending Chemical Compounds, integrating collaborative-filtering algorithms for implicit feedback (Alternating Least Squares (ALS) and Bayesian Personalized Ranking(BPR)), a content-based algorithm...
The academic paper “BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction”, co-authored by Diana Sousa and Francisco M. Couto (LASIGE researchers), was accepted at the 42nd European Conference on Information Retrieval (ECIR...
BiOnt is a system to perform relation extraction using a deep learning system. BiOnt, employs four types of biomedical ontologies, namely, the Gene Ontology, the Human Phenotype Ontology, the Human Disease Ontology, and the Chemical Entities of Biological Interest,...
