Now showing items 1-2 of 2
On-line learning and anomaly detection methods : applications to fault assessment
[Abstract] This work lays at the intersection of two disciplines, Machine Learning (ML) research and predictive maintenance of machinery. On the one hand, Machine Learning aims at detecting patterns in data gathered from ...
Applied Computational Techniques on Schizophrenia Using Genetic Mutations
[Abstract] Schizophrenia is a complex disease, with both genetic and environmental influence. Machine learning techniques can be used to associate different genetic variations at different genes with a (schizophrenic or ...