Bo Thiesson
Artificial Intelligence · 1998–2019
A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it
- Signal Processing — 6 citations into it
Whom Bo Thiesson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Bo Thiesson overall
Papers from Bo Thiesson's perspective
Ordered by how strongly the researchers Bo Thiesson trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- ImageNet classification with deep convolutional neural networks
- A Database for Handwritten Text Recognition Research
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
Their papers
- Explainable artificial intelligence model to predict acute critical illness from electronic health records (2019) — 375 citations
- Discussion Graphs: Putting Social Media Analysis in Context (2014) — 7 citations
- ARMA Time-Series Modeling with Graphical Models (2004) — 20 citations
- Learning Mixtures of DAG Models (1998)