P. D. de Laat

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #17,930 of 35,345 by trust here, #27,551 by citations
• AI Ethics, Fairness & Society — 7 citations into it
• Safety Research — 5 citations into it; #2,066 of 5,829 by trust here, #4,191 by citations

Whom P. D. de Laat trusts overall

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

1. Leo Breiman
2. Tin Kam Ho
3. Yoav Freund
4. Nitesh V. Chawla
5. Robert E. Schapire
6. Helen Nissenbaum
7. Solon Barocas
8. Faisal Kamiran
9. Michael Brückner
10. Anupam Datta

Who trusts P. D. de Laat overall

1. S. Lo Piano
2. Stefan Larsson
3. Erwan Le Merrer
4. Heike Felzmann
5. Davinder Kaur
6. Maranke Wieringa

Papers from P. D. de Laat's perspective

Ordered by how strongly the researchers P. D. de Laat trusts endorse each paper. Same corpus, a different order for every researcher.

1. Big Data's Disparate Impact
2. Bagging Predictors
3. SMOTE: Synthetic Minority Over-sampling Technique
4. Statistical learning theory
5. Static prediction games for adversarial learning problems
6. The Random Subspace Method for Constructing Decision Forests
7. Algorithmic Transparency via Quantitative Input Influence: Theory and Experiments with Learning Systems
8. Data Mining for Imbalanced Datasets: An Overview (The Data Mining and Knowledge Discovery Handbook)
9. The Black Box Society: The Secret Algorithms That Control Money and Information
10. Gradient-based learning applied to document recognition

Their papers

• Algorithmic Decision-Making Based on Machine Learning from Big Data: Can Transparency Restore Accountability? (2017) — 222 citations