Vrushali Kulkarni

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it; #27,079 of 35,345 by trust here, #32,362 by citations
• AI Ethics, Fairness & Society — 14 citations into it
• Safety Research — 12 citations into it; #4,101 of 5,829 by trust here, #5,591 by citations
• Information Systems — 8 citations into it
• Sociology and Political Science — 8 citations into it; #16,656 of 22,756 by trust here, #21,677 by citations
• Political Science and International Relations — 6 citations into it
• Safety, Robustness & Interpretability — 6 citations into it

Whom Vrushali Kulkarni trusts overall

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

1. Faisal Kamiran
2. Toon Calders
3. Salvatore Ruggieri
4. Dino Pedreschi
5. Sara Hajian
6. Franco Turini
7. Josep Domingo-Ferrer
8. Sicco Verwer
9. Bettina Berendt
10. Andrea Romei

Who trusts Vrushali Kulkarni overall

1. Lingxiao Huang

Papers from Vrushali Kulkarni's perspective

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

1. Three naive Bayes approaches for discrimination-free classification
2. Measuring Discrimination in Socially-Sensitive Decision Records
3. Discrimination-aware data mining
4. DCUBE: discrimination discovery in databases
5. Data mining for discrimination discovery
6. Discrimination Aware Decision Tree Learning
7. Integrating induction and deduction for finding evidence of discrimination
8. UCI Repository of machine learning databases
9. Decision Theory for Discrimination-Aware Classification
10. Fairness-Aware Classifier with Prejudice Remover Regularizer

Their papers

• Discrimination Prevention using Privacy Preserving Techniques (2015) — 5 citations
• Discrimination-aware data mining: a survey (2017) — 3 citations