Asmita Kashid

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; #27,080 of 35,345 by trust here, #32,362 by citations
• AI Ethics, Fairness & Society — 14 citations into it
• Safety Research — 12 citations into it; #4,102 of 5,829 by trust here, #5,591 by citations
• Information Systems — 8 citations into it
• Sociology and Political Science — 8 citations into it; #16,691 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 Asmita Kashid 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. Bettina Berendt
9. Sicco Verwer
10. Andrea Romei

Who trusts Asmita Kashid overall

1. Lingxiao Huang
2. Nisheeth K. Vishnoi

Papers from Asmita Kashid's perspective

Ordered by how strongly the researchers Asmita Kashid 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. Integrating induction and deduction for finding evidence of discrimination
7. Discrimination Aware Decision Tree Learning
8. Fairness-Aware Classifier with Prejudice Remover Regularizer
9. UCI Repository of machine learning databases
10. A multidisciplinary survey on discrimination analysis

Their papers

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