1 citations · 2 across the 10 of their papers we have counts for
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Counterfactual Fragility Certificates: Exposing High-Confidence Brittleness under Structured Evidence Failure
Filippo Cenacchi, Longbing Cao, Runze Yang
High test accuracy and good aggregate calibration do not show whether an individual prediction is structurally supported by its evidence. In tabular decision systems, failures ofte…
Towards Voxel Spacing Consistency for Medical Image Segmentation
Xin You, Runze Yang, Minghui Zhang +6
Volumetric medical image segmentation is essential for both preoperative diagnosis and intraoperative guidance. While recent years have witnessed rapid progress in segmentation arc…
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 predi…
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…
MLOW: Interpretable Low-Rank Frequency Magnitude Decomposition of Multiple Effects for Time Series Forecasting
Runze Yang, Longbing Cao, Xiaoming Wu +4
Separating multiple effects in time series is fundamental yet challenging for time-series forecasting (TSF). However, existing TSF models cannot effectively learn interpretable mul…