Juho Rousu
Artificial Intelligence · 2006–2020
A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Statistical Learning Theory — 6 citations into it
Whom Juho Rousu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- B. Taskar
- Dimitri P. Bertsekas
- Ioannis Tsochantaridis
- Thomas Hofmann
- Yasemin Altun
- Susan T. Dumais
- Lijuan Cai
- Christina S. Leslie
- David D. Lewis
Who trusts Juho Rousu overall
- Siddharth Gopal
- Yu Zhang
- Yiming Yang
- Grigorios Tsoumakas
- Bharath Hariharan
- Simon Lacoste-Julien
- Dit-Yan Yeung
- Ioannis Manousos Katakis
- S. V. N. Vishwanathan
- Manik Varma
Papers from Juho Rousu's perspective
Ordered by how strongly the researchers Juho Rousu 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)
- Gradient-based learning applied to document recognition
- Dropout: a simple way to prevent neural networks from overfitting
- Support vector machine learning for interdependent and structured output spaces
- Max-Margin Markov Networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Text Categorization with Support Vector Machines: Learning with Many Relevant Features
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Searching molecular structure databases with tandem mass spectra using CSI:FingerID (2015) — 1,020 citations
- Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra (2020) — 678 citations
- SIRIUS 4: a rapid tool for turning tandem mass spectra into metabolite structure information (2019) — 1,658 citations
- Kernel-Based Learning of Hierarchical Multilabel Classification Models (2006) — 306 citations