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eess.IV2019
Towards personalized diagnosis of Glioblastoma in Fluid-attenuated inversion recovery (FLAIR) by topological interpretable machine learning
Matteo Rucco, Lorenzo Falsetti, Giovanna Viticchi
Glioblastoma multiforme (GBM) is a fast-growing and highly invasive brain tumour, it tends to occur in adults between the ages of 45 and 70 and it accounts for 52 percent of all pr…
cs.LO2019
Topological Run-time Monitoring for Complex Systems
Matteo Rucco, Luca Tesei, Emanuela Merelli
In this paper we introduce a new data-driven run-time monitoring system for analysing the behaviour of time evolving complex systems. The monitor controls the evolution of the whol…