Giovani in un'ora - Ciclo di seminari - Terza parte

Day - Time: 18 March 2021, h.11:00
Place: Area della Ricerca CNR di Pisa - Room: Zoom
Speakers
Referent

Fabio Carrara

Abstract

Riccardo Guidotti - Explaining Any Time Series Classifier

Abstract: We present LASTS, a method to explain the decisions of black box models for time series classification. The explanation consists of factual and counterfactual shapelet-based rules revealing the reasons for the classification, and of a set of exemplars and counter-exemplars highlighting similarities and differences with the time series under analysis. LASTS first generates exemplar and counter-exemplar time series in the latent feature space and learns a local latent decision tree classifier. Then, it selects and decodes those respecting the decision rules explaining the decision. Finally, it learns on them a shapelet-tree that reveals the parts of the time series that must, and must not, be contained for getting the returned outcome from the black box. A wide experimentation shows that LASTS provides faithful, meaningful and interpretable explanations. 

Felice Manlio Bacco - Multipath techniques to improve the quality of experience of real-time multimedia traffic in mobility conditions

Abstract: In this seminar, the use of multipath techniques will be presented as a means to improve the quality of experience of multimedia traffic in the case of UAV flights in beyond-visual-line-of-sight (BVLoS) conditions. In the real testbed that will be presented, multiple cellular connections have been jointly used to deliver a real-time video feed from an UAV to a ground station to assist pilot and flight operations. The aim is in providing reliable contextual awareness by exploiting techniques providing both redundancy and reliability aiming at enhancing the user experience.

Zoom: https://us02web.zoom.us/j/86871573691