output
19922026
most cited\textit{C. elegans} collectively forms dynamical networks

56 citations

69 papers

stat.ME2026

Co-clustering of Response and Covariate Variables by Tri-Factorizing Their Non-negative Regression Coefficient Matrix

Kenichi Satoh, Yomei Tokuda

Two-block data---two sets of variables measured on the same individuals, such as microbial taxa and metabolites---raise the question of how \emph{groups} of covariate variables rel…

cs.CL2025

World model inspired sarcasm reasoning with large language model agents

Keito Inoshita, Shinnosuke Mizuno

Sarcasm understanding is a challenging problem in natural language processing, as it requires capturing the discrepancy between the surface meaning of an utterance and the speaker'…

cs.CV2025

Generating Findings for Jaw Cysts in Dental Panoramic Radiographs Using a GPT-Based VLM: A Preliminary Study on Building a Two-Stage Self-Correction Loop with Structured Output (SLSO) Framework

Nanaka Hosokawa, Ryo Takahashi, Tomoya Kitano +8

Vision-language models (VLMs) such as GPT (Generative Pre-Trained Transformer) have shown potential for medical image interpretation; however, challenges remain in generating relia…

cs.CV2025★ 9 cited

Multi-label classification for multi-temporal, multi-spatial coral reef condition monitoring using vision foundation model with adapter learning

Xinlei Shao, Hongruixuan Chen, Fan Zhao +5

Coral reef ecosystems provide essential ecosystem services, but face significant threats from climate change and human activities. Although advances in deep learning have enabled a…

physics.ins-det2025

Development of a Neutron Imager using CMOS Pixelated Sensor

Yoshio Kamiya, Hidetoshi Ohshita, Ryutaro Nishimura +5

We acquired an image of the Siemens Star Chart using the 10B-INTPIX4 CMOS pixelated imager at J-PARC MLF BL21 (NOVA). The image blurriness, characterized by a root mean square (rms…

stat.ME2025★ 3 cited

Applying non-negative matrix factorization with covariates to multivariate time series data as a vector autoregression model

Kenichi Satoh

We propose a novel framework for analyzing multivariate time series (MTS) data by integrating non-negative matrix factorization (NMF) with vector autoregression (VAR). Termed NMF-V…