David S. Siroky

Artificial Intelligence · 2014–2016

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Sociology and Political Science — 16 citations into it
• Statistics and Probability — 15 citations into it
• Political Science and International Relations — 10 citations into it

Whom David S. Siroky trusts overall

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

1. J. Hadfield
2. Leo Breiman
3. Nitesh V. Chawla
4. Eric R. Ziegel
5. Gary King
6. S. Geisser
7. Chao Chen
8. Christopher Zorn
9. H. Hale
10. Brian Greenhill

Papers from David S. Siroky's perspective

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

1. The Elements of Statistical Learning
2. SMOTE: Synthetic Minority Over-sampling Technique
3. Random Forests
4. The Predictive Sample Reuse Method with Applications
5. MCMC methods for multi-response generalized linear mixed models
6. An introduction to ROC analysis
7. Improving Quantitative Studies of International Conflict: A Conjecture
8. Gradient-based learning applied to document recognition
9. Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data (2016) — 244 citations
• Lost Autonomy, Nationalism and Separatism (2015) — 123 citations
• External Rebel Sponsorship and Civilian Abuse: A Principal-Agent Analysis of Wartime Atrocities (2014) — 237 citations