Anastassia Loukina

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Safety, Robustness & Interpretability — 12 citations into it
• Management Science and Operations Research — 7 citations into it
• Sociology and Political Science — 6 citations into it

Whom Anastassia Loukina trusts overall

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

1. Randall D. Penfield
2. Xiaoming Xi
3. Faisal Kamiran
4. Nitin Madnani
5. Toon Calders
6. D. Eignor
7. Sorelle A. Friedler
8. Daniel Povey
9. Michael Feldman
10. Sara Hajian

Who trusts Anastassia Loukina overall

1. Dadi Ramesh
2. Su Lin Blodgett
3. Ryan Shaun Joazeiro de Baker
4. Shrimai Prabhumoye

Papers from Anastassia Loukina's perspective

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

1. Fairness-Aware Classifier with Prejudice Remover Regularizer
2. Three naive Bayes approaches for discrimination-free classification
3. k-NN as an implementation of situation testing for discrimination discovery and prevention
4. Classifying without discriminating
5. Learning Fair Representations
6. Data preprocessing techniques for classification without discrimination
7. Decision Theory for Discrimination-Aware Classification
8. Certifying and Removing Disparate Impact
9. Scikit-learn: Machine Learning in Python
10. The Kaldi Speech Recognition Toolkit

Their papers

• The many dimensions of algorithmic fairness in educational applications (2019) — 61 citations
• Building Better Open-Source Tools to Support Fairness in Automated Scoring (2017) — 40 citations