Michihiro Kuramochi
Information Systems · 2001–2005
A researcher in the Science corpus: 5 papers; trusts 46 researchers and is trusted by 44 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 51 citations into it; #330 of 8,771 by trust here, #1,362 by citations
- Computational Theory and Mathematics — 31 citations into it; #3,459 of 12,182 by trust here, #3,448 by citations
- Artificial Intelligence — 29 citations into it
- Signal Processing — 24 citations into it; #481 of 7,572 by trust here, #1,241 by citations
- Algorithms & Complexity — 12 citations into it
- Computer Networks and Communications — 10 citations into it; #519 of 9,886 by trust here, #1,744 by citations
- Molecular Biology — 10 citations into it
- Statistical Learning Theory — 8 citations into it
Whom Michihiro Kuramochi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mohammed J. Zaki
- Rakesh Agrawal
- George Karypis
- Jiawei Han
- Akihiro Inokuchi
- Diane Joyce Cook
- Xifeng Yan
- Rayadurgam Srikant
- David S. Johnson
- Christian Borgelt
Who trusts Michihiro Kuramochi overall
- Xifeng Yan
- Chuntao Jiang
- Jiawei Han
- George Karypis
- Mukund Deshpande
- Mohammed J. Zaki
- Hong Cheng
- Frans Coenen
- Jun Huan
- Nikil Wale
Papers from Michihiro Kuramochi's perspective
Ordered by how strongly the researchers Michihiro Kuramochi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Frequent substructure-based approaches for classifying chemical compounds (2003) — 307 citations
- Frequent sub-structure-based approaches for classifying chemical compounds (2005) — 294 citations
- An efficient algorithm for discovering frequent subgraphs (2004) — 413 citations
- Finding Frequent Patterns in a Large Sparse Graph* (2004) — 510 citations
- Frequent subgraph discovery (2001) — 1,254 citations