Marina M.-C. Vidovic
Molecular Biology · 2015–2017
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 18 citations into it; #16,942 of 17,773 by trust here, #16,150 by citations
- Artificial Intelligence — 15 citations into it
- Statistical Learning Theory — 9 citations into it
- Optimization & Training — 5 citations into it
Whom Marina M.-C. Vidovic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sören Sonnenburg
- Christopher K. I. Williams
- Gunnar Rätsch
- Bernhard Schölkopf
- Timothy L. Bailey
- Alexander Zien
- Arthur Gretton
- K. Müller
- Asa Ben-Hur
- Wojciech Samek
Who trusts Marina M.-C. Vidovic overall
Papers from Marina M.-C. Vidovic's perspective
Ordered by how strongly the researchers Marina M.-C. Vidovic 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)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- SVM2Motif—Reconstructing Overlapping DNA Sequence Motifs by Mimicking an SVM Predictor (2015) — 9 citations
- ML2Motif—Reliable extraction of discriminative sequence motifs from learning machines (2017) — 8 citations
- Feature Importance Measure for Non-linear Learning Algorithms (2016) — 40 citations