Dimitri Kusnezov
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
Whom Dimitri Kusnezov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Dimitri Kusnezov's perspective
Ordered by how strongly the researchers Dimitri Kusnezov trusts endorse each paper. Same corpus, a different order for every researcher.
- Understanding deep learning requires rethinking generalization
- Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
- A Closer Look at Memorization in Deep Networks
- Dermatologist-level classification of skin cancer with deep neural networks
- Scalable and accurate deep learning with electronic health records
- Verification and Validation in Scientific Computing
- Resource-Efficient Neural Architect
- On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
- Deep learning based tissue analysis predicts outcome in colorectal cancer (Scientific Reports)
- Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression
Their papers
- The need for uncertainty quantification in machine-assisted medical decision making (2019) — 533 citations