Jakramate Bootkrajang
Artificial Intelligence · 2011–2014
A researcher in the Science corpus: 4 papers; trusts 47 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 40 citations into it; #9,677 of 35,345 by trust here, #19,873 by citations
- Computer Vision and Pattern Recognition — 21 citations into it; #6,783 of 21,575 by trust here, #13,542 by citations
- Molecular Biology — 9 citations into it; #2,743 of 17,773 by trust here, #12,008 by citations
- Statistics and Probability — 8 citations into it
- Information Systems — 5 citations into it
Whom Jakramate Bootkrajang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Gavin C. Cawley
- David John Cameron MacKay
- Timo Ojala
- Ricardo Barandela
- Chih-Jen Lin
- Neil D. Lawrence
- P. Lachenbruch
- Volker Roth
- Nicola L. C. Talbot
Who trusts Jakramate Bootkrajang overall
- Himanshu Kumar
- Lu Jiang
- Ata Kabán
- Jacob Goldberger
- Curtis G. Northcutt
- Jan Kremer
- Aritra Ghosh
- P. Shanti Sastry
- Benoît Frénay
- Ehud Ben-Reuven
Papers from Jakramate Bootkrajang's perspective
Ordered by how strongly the researchers Jakramate Bootkrajang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Label-Noise Robust Logistic Regression and Its Applications (2012) — 131 citations
- Learning kernel logistic regression in the presence of class label noise (2014) — 49 citations
- Classification of mislabelled microarrays using robust sparse logistic regression (2013) — 44 citations
- Multi-class classification in the presence of labelling errors (2011) — 27 citations