Type
Funder
Country
—
Documents
5
through any edge
Papers
0
authorship edges
Awards made
4
2 grant numbers
Named as funder
5
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What Ministry of Agriculture, Forestry and Fisheries has funded
4 awards under 2 distinct grant numbers, across 4 documents. A further 5 documents name it as a funder without a grant number — a weaker claim, counted separately.
Waveshift 2.0: An Improved Physics-Driven Data Augmentation Strategy in Fine-Grained Image Classificationgrant JP17935051 · 2025-04-24Accelerating <i>m</i> ‐Invariance for Continuous Big Data Publishinggrant JPJ009819 · 2025-09-10Machine Learning Across Light and Language : Toward Robust and Interpretable Fine-Grained Image Classificationgrant JP17935051 · 2026-03-24A flexible two-stage anonymization framework for narrative medical records adapting to various language modelsgrant JPJ009819 · 2025-06-23
4 of 9 funding edges