Nataliya Sokolovska

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #30,221 of 35,345 by trust here, #34,213 by citations
• Medical & Health AI — 10 citations into it; #189 of 239 by trust here, #236 by citations
• Information Systems — 5 citations into it
• Statistical Learning Theory — 5 citations into it; #873 of 1,038 by trust here, #985 by citations
• Optimization & Training — 5 citations into it; #2,351 of 2,601 by trust here, #2,568 by citations
• Statistics and Probability — 5 citations into it; #11,291 of 12,932 by trust here, #12,077 by citations

Whom Nataliya Sokolovska trusts overall

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

1. Cynthia Rudin
2. Berk Ustun
3. Fulton Wang
4. Yann Chevaleyre
5. D. Golovin
6. Usama M. Fayyad
7. J. le Gall
8. Lukasz Kurgan
9. Shai Shalev-Shwartz
10. Robert Tibshirani

Who trusts Nataliya Sokolovska overall

1. Berk Ustun
2. Cynthia Rudin

Papers from Nataliya Sokolovska's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Regression Shrinkage and Selection via the Lasso
7. The Nature of Statistical Learning Theory
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• The fused lasso penalty for learning interpretable medical scoring systems (2017) — 10 citations
• Akkermansia muciniphila and improved metabolic health during a dietary intervention in obesity: relationship with gut microbiome richness and ecology (2015) — 1,710 citations
• A Provable Algorithm for Learning Interpretable Scoring Systems (2018) — 21 citations