Primož Kocbek

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 Primož Kocbek 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. Andy Liaw
8. Bradley C. Boehmke
9. Elizabeth R. DeLong
10. William L. Hamilton

Papers from Primož Kocbek's perspective

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

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