Meet Barot
Molecular Biology · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 31 citations into it
- Artificial Intelligence — 10 citations into it
- Graph Learning — 7 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Meet Barot trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Meet Barot's perspective
Ordered by how strongly the researchers Meet Barot trusts endorse each paper. Same corpus, a different order for every researcher.
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
- ImageNet classification with deep convolutional neural networks
- Learning Deep Representations for Graph Clustering
- Network biology: understanding the cell's functional organization
- Prioritizing candidate disease genes by network-based boosting of genome-wide association data.
- The relationship between Precision-Recall and ROC curves
- Structural Deep Network Embedding
- Deep Neural Networks for Learning Graph Representations
- Genes involved in matrix formation in Pseudomonas aeruginosa PA14 biofilms (Molecular Microbiology)
- A note on Platt’s probabilistic outputs for support vector machines (Machine-mediated learning)