Yonas B. Dibike

2001–2006

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Yonas B. Dibike trusts overall

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

1. Vladimir Naumovich Vapnik
2. Vladimir Naumovich Vapni
3. K. Müller
4. Alex Smola

Who trusts Yonas B. Dibike overall

1. Dimitri P. Solomatine
2. Navin Twarakavi
3. Pouya Aghelpour
4. Quoc Bao Pham
5. Wenchao Wang
6. J. Deng
7. Anurag Malik
8. Zhenliang Yin
9. Kwok-Wing Chau
10. Yunpeng Xue

Papers from Yonas B. Dibike's perspective

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

1. Statistical learning theory
2. The Nature of Statistical Learning Theory
3. Algorithms for Clustering Data
4. Predicting Time Series with Support Vector Machines
5. Gradient-based learning applied to document recognition
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet classification with deep convolutional neural networks
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Model Induction with Support Vector Machines: Introduction and Applications (2001) — 592 citations
• Uncertainty analysis of statistical downscaling methods (2006) — 374 citations
• Uncertainty analysis of statistical downscaling methods using Canadian Global Climate Model predictors (2006) — 89 citations