Elaine Angelino

Artificial Intelligence · 2007–2018

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #13,010 of 35,345 by trust here, #13,760 by citations
• Statistical Learning Theory — 17 citations into it
• Information Systems — 16 citations into it; #2,427 of 8,771 by trust here, #2,307 by citations
• Computational Theory and Mathematics — 12 citations into it; #3,884 of 12,182 by trust here, #2,565 by citations
• Algorithms & Complexity — 10 citations into it
• Probabilistic & Bayesian Methods — 8 citations into it
• Statistics and Probability — 8 citations into it
• Radiology, Nuclear Medicine and Imaging — 7 citations into it; #2,410 of 3,265 by trust here, #2,462 by citations

Whom Elaine Angelino trusts overall

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

1. Cynthia Rudin
2. Hugh A. Chipman
3. J. Ross Quinlan
4. Niko Speybroeck
5. R. Rivest
6. William W. Cohen
7. Tong Wang
8. Berk Ustun
9. Edward I. George
10. Benjamin Letham

Who trusts Elaine Angelino overall

1. Cynthia Rudin
2. Alexey Ignatiev
3. Tong Wang
4. S. Lo Piano
5. Nina Narodytska
6. Lesia Semenova
7. Siong Thye Goh
8. Xiyang Hu
9. Danqing Pan
10. Jinqiang Yu

Papers from Elaine Angelino's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Learning Certifiably Optimal Rule Lists (2017) — 201 citations
• Systems Optimizations for Learning Certifiably Optimal Rule Lists (2018)
• Regularized, fast, and robust analytical Q‐ball imaging (2007) — 944 citations