pVR uses a bi-filtration combining p-adic and compositional distances to generate topological features that improve classification accuracy on several low-sample genomic benchmarks.
Inference for the generalization error,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
LLaMA 3.1 extracts visual rating scores from Dutch neuroradiology reports with 87-96% balanced accuracy but only 66-80% on numerical counts, with few-shot prompting raising the latter to 81-92%.
citing papers explorer
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$p$-adic Bi-Filtrations for Topological Machine Learning on Genomic Sequences
pVR uses a bi-filtration combining p-adic and compositional distances to generate topological features that improve classification accuracy on several low-sample genomic benchmarks.
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Automatic Extraction of Structured Information from Brain MRI Reports Using an Open-Weight Large Language Model
LLaMA 3.1 extracts visual rating scores from Dutch neuroradiology reports with 87-96% balanced accuracy but only 66-80% on numerical counts, with few-shot prompting raising the latter to 81-92%.