Leona Cilar

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 Leona Cilar trusts

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

1. Alex John London (in Family Practice)
2. Michael Tomasello (in Cognitive Science & Psychology)
3. Jure Leskovec (in Artificial Intelligence)

Papers from Leona Cilar's perspective

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

1. Distilling the Knowledge in a Neural Network (arXiv.org)
2. Visualizing Data using t-SNE
3. The mythos of model interpretability
4. Towards A Rigorous Science of Interpretable Machine Learning
5. Anchors: High-Precision Model-Agnostic Explanations
6. A Unified Approach to Interpreting Model Predictions
7. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. LightGBM: A Highly Efficient Gradient Boosting Decision Tree
10. ImageNet classification with deep convolutional neural networks

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