Mohamed Siala

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it; #30,836 of 35,345 by trust here, #28,481 by citations
• Safety, Robustness & Interpretability — 38 citations into it
• Safety Research — 20 citations into it
• AI Ethics, Fairness & Society — 18 citations into it
• Information Systems — 15 citations into it; #7,413 of 8,771 by trust here, #7,705 by citations
• Computational Theory and Mathematics — 13 citations into it
• Algorithms & Complexity — 12 citations into it; #470 of 516 by trust here, #452 by citations
• Statistical Learning Theory — 8 citations into it

Whom Mohamed Siala trusts overall

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

1. J. Ross Quinlan
2. Alexey Ignatiev
3. Emir Demirovi'c
4. Leo Breiman
5. Trevor J. Hastie
6. J. Berg
7. Peter James Stuckey
8. Armin Biere
9. Alexandra Chouldechova
10. Toon Calders

Who trusts Mohamed Siala overall

1. Vinícius G. Costa

Papers from Mohamed Siala's perspective

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

1. Fairness through awareness
2. Equality of Opportunity in Supervised Learning
3. C4.5: Programs for Machine Learning
4. Classification and regression trees
5. Random Forests
6. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
7. Induction of decision trees
8. Certifying and Removing Disparate Impact
9. Bagging Predictors
10. Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments

Their papers

• Learning Optimal Decision Trees with MaxSAT and its Integration in AdaBoost (2020) — 54 citations
• Learning Fair Rule Lists (2019) — 11 citations