Gregor Stiglic

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 52 citations into it
• Health Informatics — 12 citations into it

Whom Gregor Stiglic trusts overall

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

1. Geoffrey E. Hinton
2. Scott M. Lundberg
3. Michael Tomasello
4. Alex John London
5. Himabindu Lakkaraju
6. L. V. D. van der Maaten
7. Bradley C. Boehmke
8. William L. Hamilton
9. D. V. Carvalho
10. Oriol Vinyals

Papers from Gregor Stiglic's perspective

Ordered by how strongly the researchers Gregor Stiglic 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers

• Early detection of type 2 diabetes mellitus using machine learning-based prediction models (2020) — 310 citations
• Interpretability of machine learning‐based prediction models in healthcare (2020) — 523 citations