Heimo Müller
Artificial Intelligence · 2014–2023
A researcher in the Science corpus: 6 papers; trusts 33 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 91 citations into it; #26,716 of 35,345 by trust here, #11,192 by citations
- Computer Vision and Pattern Recognition — 59 citations into it; #21,211 of 21,575 by trust here, #20,271 by citations
- Safety, Robustness & Interpretability — 28 citations into it
- Human-Computer Interaction — 13 citations into it
- Computational Theory and Mathematics — 10 citations into it; #12,029 of 12,182 by trust here, #10,349 by citations
- Medical & Health AI — 7 citations into it
- Natural Language Processing — 6 citations into it
Whom Heimo Müller trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andreas Holzinger
- Daniel A. Keim
- Catherine Plaisant
- Melanie Tory
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Karen Simonyan
- Torsten Möller
Who trusts Heimo Müller overall
Papers from Heimo Müller's perspective
Ordered by how strongly the researchers Heimo Müller trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Analysis of biomedical data with multilevel glyphs (2014) — 42 citations
- State-of-the-Art and Future Challenges in the Integration of Biobank Catalogues (2015) — 22 citations
- AI for Life: Trends in Artificial Intelligence for Biotechnology. (2023) — 321 citations
- Measuring the Quality of Explanations: The System Causability Scale (SCS) (2019) — 385 citations
- Causability and explainability of artificial intelligence in medicine (2019) — 1,566 citations
- Towards the Augmented Pathologist: Challenges of Explainable-AI in Digital Pathology (2017) — 99 citations