Nobuhisa Ueda

Computational Biology & Bioinformatics · 2004–2006

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computational Biology & Bioinformatics — 9 citations into it
• Molecular Biology — 9 citations into it
• Statistical Learning Theory — 8 citations into it

Whom Nobuhisa Ueda trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Alex Smola
2. Bernhard Schölkopf
3. Christina S. Leslie
4. Michael Gribskov
5. Thomas Gärtner
6. Hisashi Kashima
7. Minoru Kanehisa

Who trusts Nobuhisa Ueda overall

1. Karsten M. Borgwardt
2. Nils M. Kriege
3. Masashi Sugiyama
4. James T. Kwok
5. Nino Shervashidze
6. Davide Bacciu
7. Marco Cuturi
8. Derek Greene

Papers from Nobuhisa Ueda's perspective

Ordered by how strongly the researchers Nobuhisa Ueda trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning with Kernels: support vector machines, regularization, optimization, and beyond
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. The Spectrum Kernel: A String Kernel for SVM Protein Classification
5. On Graph Kernels: Hardness Results and Efficient Alternatives
6. Learning Multiple Layers of Features from Tiny Images
7. Marginalized Kernels Between Labeled Graphs
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Mismatch String Kernels for SVM Protein Classification

Their papers

• Extensions of marginalized graph kernels (2004) — 224 citations
• KEGG as a glycome informatics resource. (2006) — 299 citations
• Protein homology detection using string alignment kernels (2004) — 417 citations