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Normalisation-Based Likelihood Ratio Estimation for Forensic Authorship Verification

Authorship verification (AV) is the task of determining whether two texts were written by the same author. In a forensic context, the strength of AV evidence can be quantified using likelihood ratios....

👤 Sadie Barlow | Andrea Nini | Edoardo Man... 📰 arXiv 📅 2026 👁 75 📚 0

Tracking Equivalent Mechanistic Interpretations Across Neural Networks

Mechanistic interpretability (MI) is an emerging framework for interpreting neural networks. Given a task and model, MI aims to discover a succinct algorithmic process, an interpretation, that explain...

👤 未知 📰 arXiv 📅 2026 👁 66 📚 0

Genome Mining of Deep-Sea Cold Seep-Derived Fungus Reveals a Laccase-Fasciclin System Modulating Regioselective Naphthopyranone Dimerization.

Naphthopyranones represent a structurally diverse family of fungal polyketides exhibiting a broad range of biological activities, including antibacterial, antifungal, and cytotoxic properties. Despite...

👤 Li Hongcheng, Li Zhiting, Sun Junpeng, Y... 📰 International Journal of Molecular Sciences 📅 2026 👁 58 📚 0

OPTICS: Order-Preserved Test-Inverse Confidence Set for Number of Change-Points

Determining the number of change-points is a first-step and fundamental task in change-point detection problems, as it lays the groundwork for subsequent change-point position estimation. While the ex...

👤 未知 📰 arXiv 📅 - 👁 52 📚 0

Dictionary-based Pathology Mining with Hard-instance-assisted Classifier Debiasing for Genetic Biomarker Prediction from WSIs

Prediction of genetic biomarkers, e.g., microsatellite instability in colorectal cancer is crucial for clinical decision making. But, two primary challenges hamper accurate prediction: (1) It is diffi...

👤 未知 📰 arXiv 📅 - 👁 32 📚 0

ContextClaim: A Context-Driven Paradigm for Verifiable Claim Detection

Verifiable claim detection asks whether a claim expresses a factual statement that can, in principle, be assessed against external evidence. As an early filtering stage in automated fact-checking, it ...

👤 未知 📰 arXiv 📅 2026 👁 30 📚 0
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