CORTEXA
← Browse

Filippo Cenacchi

2 papers indexed

arxivcs.LGcs.AI2026-06-29

Beyond Output-Space Calibration: Spectral Evidence Bundling for Selective Reliability Estimation in Time-Series Classification

Filippo Cenacchi, Longbing Cao, Runze Yang

Post-hoc calibration for time-series classification usually remaps output scores, but deployment decisions such as trust, abstention, and review depend on whether a confident prediction is supported by the current temporal signal. We address three time-series reliability gaps: id…

View free PDFSource page
arxivcs.LGcs.AI2026-06-29

FALCON-Discover: Discovering Concentrated False-Confidence Regions for Calibration

Filippo Cenacchi, Longbing Cao, Runze Yang

Calibration is usually evaluated in aggregate, but the most dangerous failures are often local: predictions that remain highly confident despite being wrong. We study this failure mode as false-confidence concentration, the extent to which confident errors occupy compact, discove…

View free PDFSource page