[HTML][HTML] As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
Background We focus on the importance of interpreting the quality of the labeling used as
the input of predictive models to understand the reliability of their output in support of human …
the input of predictive models to understand the reliability of their output in support of human …
[HTML][HTML] As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
F Cabitza, A Campagner… - BMC Medical …, 2020 - bmcmedinformdecismak …
We focus on the importance of interpreting the quality of the labeling used as the input of
predictive models to understand the reliability of their output in support of human decision …
predictive models to understand the reliability of their output in support of human decision …
[PDF][PDF] As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
F Cabitza, A Campagner, LM Sconfienza - 2020 - scholar.archive.org
Background: We focus on the importance of interpreting the quality of the labeling used as
the input of predictive models to understand the reliability of their output in support of human …
the input of predictive models to understand the reliability of their output in support of human …
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
F Cabitza, A Campagner, LM Sconfienza - BMC Medical Informatics and …, 2020 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: sec>< jats: title> Background</jats: title>< jats: p>
We focus on the importance of interpreting the quality of the labeling used as the input of …
We focus on the importance of interpreting the quality of the labeling used as the input of …
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI.
F Cabitza, A Campagner… - … Medical Informatics & …, 2020 - search.ebscohost.com
Abstract < bold> Background: </bold> We focus on the importance of interpreting
the quality of the labeling used as the input of predictive models to understand the reliability …
the quality of the labeling used as the input of predictive models to understand the reliability …
[PDF][PDF] As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
F Cabitza, A Campagner, LM Sconfienza - 2020 - academia.edu
Background: We focus on the importance of interpreting the quality of the labeling used as
the input of predictive models to understand the reliability of their output in support of human …
the input of predictive models to understand the reliability of their output in support of human …
[HTML][HTML] As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
F Cabitza, A Campagner… - BMC Medical Informatics …, 2020 - ncbi.nlm.nih.gov
Background We focus on the importance of interpreting the quality of the labeling used as
the input of predictive models to understand the reliability of their output in support of human …
the input of predictive models to understand the reliability of their output in support of human …
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
F Cabitza, A Campagner… - BMC Medical Informatics …, 2020 - search.proquest.com
Background We focus on the importance of interpreting the quality of the labeling used as
the input of predictive models to understand the reliability of their output in support of human …
the input of predictive models to understand the reliability of their output in support of human …
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI
F Cabitza, A Campagner, L Sconfienza - … AND DECISION MAKING, 2020 - boa.unimib.it
Background: We focus on the importance of interpreting the quality of the labeling used as
the input of predictive models to understand the reliability of their output in support of human …
the input of predictive models to understand the reliability of their output in support of human …
As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI.
F Cabitza, A Campagner… - BMC Medical Informatics …, 2020 - europepmc.org
Background We focus on the importance of interpreting the quality of the labeling used as
the input of predictive models to understand the reliability of their output in support of human …
the input of predictive models to understand the reliability of their output in support of human …