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Found 7 papers, 1 papers with code
Dynamic Fault Analysis in Substations Based on Knowledge Graphs
To address the challenge of identifying hidden danger in substations from unstructured text, a novel dynamic analysis method is proposed.
XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation
Despite the promising performance of existing visual models on public benchmarks, the critical assessment of their robustness for real-world applications remains an ongoing challenge.
Robust optimized certainty equivalents and quantiles for loss positions with distribution uncertainty
The paper investigates the robust optimized certainty equivalents and analyzes the relevant properties of them as risk measures for loss positions with distribution uncertainty.
Interpretable Personalized Experimentation
Black-box heterogeneous treatment effect (HTE) models are increasingly being used to create personalized policies that assign individuals to their optimal treatments.
Provable Data Clustering via Innovation Search
It is shown that in contrast to most of the existing methods which require the subspaces to be sufficiently incoherent with each other, Innovation Pursuit only requires the innovative components of the subspaces to be sufficiently incoherent with each other.
A Note on Optimal Sampling Strategy for Structural Variant Detection Using Optical Mapping
Structural variants compose the majority of human genetic variation, but are difficult to assess using current genomic sequencing technologies.
Subspace Clustering through Sub-Clusters
The problem of dimension reduction is of increasing importance in modern data analysis.
