4 papers
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…
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…
Separating Topological Noise from Features using Persistent Entropy
Nieves Atienza, Rocio Gonzalez-Diaz, Matteo Rucco
In this paper, we derive a simple method for separating topological noise from topological features using a novel measure for comparing persistence barcodes called persistent entro…
Topological characterization of S[B] systems: From data to models of complexity
Emanuela Merelli, Matteo Rucco, Peter Sloot +1
In this paper we propose a methodology for deriving a model of a complex system by exploiting the information extracted from Topological Data Analysis. Central to our approach is t…