A metric learning method is introduced to learn distance metrics that best capture conditional anomaly patterns in instance-based detection.
and Kriegel, Hans-Peter and Ng, Raymond T
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An LLM agent automates iterative refinement of data embedding visualizations by generating semantic evaluation reports and recommending configuration changes.
Four-planet systems exhibit exponentially increasing lifetimes with orbital spacing, intermediate between three- and five-planet systems, with resonances causing shorter lifetimes and third-order MMRs adding destabilization near certain spacings.
Instance-based conditional anomaly detection with optimized distance metrics detects unusual patient-management decisions in two real-world medical datasets.
GNN embeddings turn CEBAF injector snapshots into a coordinate system revealing ten persistent operating regimes that support monitoring, outlier detection, and case-based reasoning over a year of data.
citing papers explorer
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Distance metric learning for conditional anomaly detection
A metric learning method is introduced to learn distance metrics that best capture conditional anomaly patterns in instance-based detection.
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Explainable Iterative Data Visualisation Refinement via an LLM Agent
An LLM agent automates iterative refinement of data embedding visualizations by generating semantic evaluation reports and recommending configuration changes.
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Orbital Stability of Closely-Spaced Four-planet Systems
Four-planet systems exhibit exponentially increasing lifetimes with orbital spacing, intermediate between three- and five-planet systems, with resonances causing shorter lifetimes and third-order MMRs adding destabilization near certain spacings.
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Conditional anomaly detection methods for patient-management alert systems
Instance-based conditional anomaly detection with optimized distance metrics detects unusual patient-management decisions in two real-world medical datasets.
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Machine-State Embeddings as an Operational Coordinate System for Accelerator Operation
GNN embeddings turn CEBAF injector snapshots into a coordinate system revealing ten persistent operating regimes that support monitoring, outlier detection, and case-based reasoning over a year of data.