Type
Nonprofit
Country
United Kingdom
GB
Documents
15
through any edge
Papers
15
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Financial Services Authority on the authorship, newest first.
2026-06-16 · 6 authors here
TMR-GGNN: Credit Card Fraud Detection based on Time-Aware Multi-Relational Guided Graph Neural Network
2026-04-24 · 2 authors here
IVA Methodology v1.0: A Framework for Multi-Model AI Output Verification
2026-04-24 · 2 authors here
IVA Methodology v1.0: A Framework for Multi-Model AI Output Verification
2025-12-11 · 6 authors here
Improving Small Object Detection Through Multi-Scale Feature Fusion and Attention Mechanisms in Deep Learning Models
2025-11-28 · 4 authors here
Optimizing Prompt Engineering for Large Language Model-Based AI Systems
2025-03-14 · 4 authors here
Extending Learning-by-Asking to Real-World Visual Question Answering
2025-03-14 · 5 authors here
A Systematic Framework for Evaluating Transformer Architectures in Semantic Sentence Similarity
2025-03-14 · 4 authors here
Comparative Analysis of Torchvision Object Detection Models
2024-12-04 · 2 authors here
Machine Learning-Based Outlier Detection for Business Intelligence: A Scalable Time Series Analysis Framework
2024-07-25 · 1 authors here
Third-Party AI Vendor Risk: Developing Assessment Frameworks for Machine Learning Service Providers
2024-06-19 · 9 authors here
Fairness: plurality, causality, and insurability
2024-01-01 · 1 authors here
Enterprise Technology Risk Management Framework: An Integrated Approach to Cloud-Native Security, AI Governance, and Compliance Automation
2023-01-01 · 1 authors here
Operationalizing AI risk frameworks in financial services: A second line of defense perspective
2022-09-27 · 3 authors here
A discrete truncated Zipf distribution
2018-01-01 · 9 authors here
Using Large Data Sets and Statistical Tools to Define “Failure” and Demonstrate the Safety of DPR
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
Who funds this work
Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.
Under a named grant
funding_awards — the award carries a grant number
Nothing on record.
Listed as funder
doc_funder_links — named, with no grant number