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Found 5 papers, 1 papers with code
Semi-supervised Bladder Tissue Classification in Multi-Domain Endoscopic Images
We address the challenge of tissue classification when annotations are available only in one domain, in our case WLI, and the endoscopic images correspond to an unpaired dataset, i. e. there is no exact equivalent for every image in both NBI and WLI domains.
Conformal Prediction Bands for Two-Dimensional Functional Time Series
Time evolving surfaces can be modeled as two-dimensional Functional time series, exploiting the tools of Functional data analysis.
Mobility and Economic Impact of COVID-19 Restrictions in Italy using Mobile Network Operator Data
This work presents the analysis of the impact of restrictions on mobility in Italy, with a focus on the period from 6 November 2020 to 31 January 2021, when a three-tier system based on different levels of risk was adopted and applied at regional level to contrast the second wave of COVID-19.
Conformal Prediction: a Unified Review of Theory and New Challenges
In this work we provide a review of basic ideas and novel developments about Conformal Prediction -- an innovative distribution-free, non-parametric forecasting method, based on minimal assumptions -- that is able to yield in a very straightforward way predictions sets that are valid in a statistical sense also in in the finite sample case.
Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection
In this work we present a clustering technique called \textit{multi-level conformal clustering (MLCC)}.
