Shawkat Ali

Artificial Intelligence · 2006

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #9,929 of 35,345 by trust here, #22,463 by citations

Whom Shawkat Ali trusts overall

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

1. Vladimir Naumovich Vapni
2. Yuhai Wu
3. Ron Kohavi
4. Vladimir Naumovich Vapnik
5. Gary M. Weiss
6. Anil K. Jain
7. K. Müller
8. Foster J. Provost
9. J. Ross Quinlan
10. Robert Craig Holte

Who trusts Shawkat Ali overall

1. Marc-André Zöller
2. Matthias Reif
3. Marco F. Huber
4. Faisal Shafait
5. Péricles Barbosa C. de Miranda
6. Ricardo Bastos Cavalcante Prudêncio
7. Taciana A. F. Gomes
8. Mohammadreza Sheykhmousa
9. K. Smith‐Miles
10. Quanming Yao

Papers from Shawkat Ali's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. The Nature of Statistical Learning Theory
3. Gradient-based learning applied to document recognition
4. ImageNet classification with deep convolutional neural networks
5. A training algorithm for optimal margin classifiers
6. Support-Vector Networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Statistical Learning Theory

Their papers

• On learning algorithm selection for classification (2006) — 413 citations
• A meta-learning approach to automatic kernel selection for support vector machines (2006) — 151 citations