| Fair Combinatorial Auction for Blockchain Trade Intents: Being Fair without Knowing What is Fair | Aug 22, 2024 | Fairness | —Unverified | 0 |
| A Simple Remedy for Dataset Bias via Self-Influence: A Mislabeled Sample Perspective | Nov 1, 2024 | Fairness | —Unverified | 0 |
| A short review of the main concerns in A.I. development and application within the public sector supported by NLP and TM | Jul 25, 2023 | ArticlesEthics | —Unverified | 0 |
| Fair Meta-Learning For Few-Shot Classification | Sep 23, 2020 | BIG-bench Machine LearningClassification | —Unverified | 0 |
| Collusion Detection with Graph Neural Networks | Oct 9, 2024 | FairnessTransfer Learning | —Unverified | 0 |
| A Seven-Layer Model for Standardising AI Fairness Assessment | Dec 21, 2022 | BenchmarkingFairness | —Unverified | 0 |
| Fair Matrix Factorisation for Large-Scale Recommender Systems | Sep 9, 2022 | Collaborative FilteringFairness | —Unverified | 0 |
| Collision Cross-entropy for Soft Class Labels and Deep Clustering | Mar 13, 2023 | ClusteringDeep Clustering | —Unverified | 0 |
| FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems | May 3, 2020 | DiversityFairness | —Unverified | 0 |
| Fair mapping | Sep 1, 2022 | AttributeFairness | —Unverified | 0 |
