79 citations · 233 across the 21 of their papers we have counts for
5 papers · 1 filter
Guided by Stars: Interpretable Concept Learning Over Time Series via Temporal Logic Semantics
Irene Ferfoglia, Simone Silvetti, Gaia Saveri +2
Time series classification is a task of paramount importance, as this kind of data often arises in safety-critical applications. However, it is typically tackled with black-box dee…
Towards Interpretable Concept Learning over Time Series via Temporal Logic Semantics
Irene Ferfoglia, Simone Silvetti, Gaia Saveri +2
Time series classification is a task of paramount importance, as this kind of data often arises in safety-critical applications. However, it is typically tackled with black-box dee…
ECATS: Explainable-by-design concept-based anomaly detection for time series
Irene Ferfoglia, Gaia Saveri, Laura Nenzi +1
Deep learning methods for time series have already reached excellent performances in both prediction and classification tasks, including anomaly detection. However, the complexity…
Mining Interpretable Spatio-temporal Logic Properties for Spatially Distributed Systems
Sara Mohammadinejad, Jyotirmy V. Deshmukh, Laura Nenzi
The Internet-of-Things, complex sensor networks, multi-agent cyber-physical systems are all examples of spatially distributed systems that continuously evolve in time. Such systems…
A kernel function for Signal Temporal Logic formulae
Luca Bortolussi, Giuseppe Maria Gallo, Laura Nenzi
We discuss how to define a kernel for Signal Temporal Logic (STL) formulae. Such a kernel allows us to embed the space of formulae into a Hilbert space, and opens up the use of ker…