Author

Takato Yasuno

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#machine learning Preprint Sep 2026

Convergence-Aware Pareto Selection of Covariate Scaling Transformations for Markov Deterioration Hazard Models: Evidence from Bridge Inspection Data

Maximum likelihood estimation of Markov deterioration hazard models for infrastructure asset management is sensitive to the numerical conditioning of explanatory covariates, yet production pipelines often adopt a single scaling convention without systematic justification. We study four covariate scaling transformations...

Takato Yasuno, Keita Kobayashi, Ryuta Sakaguchi · 1 citation

Jul 2026

Multimodal CoLRAG-TF: Triple-Filtered Retrieval for Complex PDFs

The results show that triple-filtered multimodal fusion is essential for structured reasoning over noisy, heterogeneous PDFs and provides a general framework applicable beyond the disaster domain.

Takato Yasuno · arXiv.org · 0 citations