Arjun Roy

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it; #31,452 of 35,345 by trust here, #34,213 by citations
• Safety, Robustness & Interpretability — 22 citations into it

Whom Arjun Roy trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Faisal Kamiran
2. Joy Buolamwini
3. Toon Calders
4. Indrė Žliobaitė
5. Moritz Hardt
6. Frances Ding
7. Jieyu Zhao

Who trusts Arjun Roy overall

1. Simon Caton

Papers from Arjun Roy's perspective

Ordered by how strongly the researchers Arjun Roy trusts endorse each paper. Same corpus, a different order for every researcher.

1. Fairness through awareness
2. Fairness-Aware Classifier with Prejudice Remover Regularizer
3. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
4. Classifying without discriminating
5. A multidisciplinary survey on discrimination analysis
6. Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid
7. A Confidence-Based Approach for Balancing Fairness and Accuracy
8. Fairness Definitions Explained
9. Delayed Impact of Fair Machine Learning
10. The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients

Their papers

• A survey on datasets for fairness‐aware machine learning (2021) — 354 citations