Maryam Negahbani

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Organizational Behavior and Human Resource Management — 6 citations into it
• Algorithms & Complexity — 5 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Maryam Negahbani trusts overall

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

1. David Arthur
2. Clemens Rösner

Papers from Maryam Negahbani's perspective

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

1. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments
2. Certifying and Removing Disparate Impact
3. Local Search Heuristics for k-Median and Facility Location Problems
4. Learning Fair Representations
5. Fairness through awareness
6. Fairness in Learning: Classic and Contextual Bandits
7. k-NN as an implementation of situation testing for discrimination discovery and prevention
8. Fair Clustering Through Fairlets
9. A data-driven approach to predict the success of bank telemarketing
10. Privacy preserving clustering with constraints

Their papers

• Fair Algorithms for Clustering (2019) — 292 citations