Jagriti Singh

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• AI Ethics, Fairness & Society — 5 citations into it

Whom Jagriti Singh trusts overall

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

1. Toon Calders
2. Faisal Kamiran
3. Dino Pedreschi
4. Salvatore Ruggieri
5. Hai Wang
6. Binh Luong Thanh
7. Franco Turini
8. Sicco Verwer
9. Shouhong Wang

Papers from Jagriti Singh's perspective

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

1. Measuring Discrimination in Socially-Sensitive Decision Records
2. Three naive Bayes approaches for discrimination-free classification
3. Discrimination-aware data mining
4. Classifying without discriminating
5. k-NN as an implementation of situation testing for discrimination discovery and prevention
6. Integrating induction and deduction for finding evidence of discrimination
7. The Economics of Discrimination
8. Fairness-Aware Classifier with Prejudice Remover Regularizer
9. Mining incomplete survey data through classification
10. Categorical Data Analysis

Their papers

• Preprocessing Technique for Discrimination Prevention in Data Mining (2014)