Automated Residual Plot Assessment With the R Package autovi and the Shiny Application autovi.web
arXiv 2606.24236•6f3194ec7de4501d4157591fc01d576a9336303ce71b2289417489e0e493b8d6
Fisher informationR packageRFI mitigationSAEMShinyXAI","graph-based models"breast cancercomputer visiondiabetic retinopathyexplainabilityfederated learningfederated optimizationhealthcareinformation geometrymachine learningmodel selectionparameter degeneracyprivacyproper scoring rulesradio interferometryresidual diagnosticsrobust inferencestatisticssurvival analysistime series
Paper metadata
- arXiv ID
- 2606.24236
- Version
- Not specified by this published record
- Category
- Statistics — Machine Learning (stat.ML)
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Evidence and limitations
- Source ID
- arxiv_stat_ml
- Record identifier
- 6f3194ec7de4501d4157591fc01d576a9336303ce71b2289417489e0e493b8d6
- Enrichment time
- 2026-06-24T07:23:53Z
- AI-assisted enrichment
- Yes
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