Pavel Paclík

Artificial Intelligence · 2002–2006

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #21,916 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 6 citations into it; #13,590 of 21,575 by trust here, #18,266 by citations

Whom Pavel Paclík trusts overall

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

1. Bernhard Schölkopf
2. Robert P. W. Duin
3. Alex Smola
4. Thomas B. Sebastian
5. Vladimir Naumovich Vapni
6. Thomas M. Cover
7. Shigeo Abe
8. Luc Devroye

Who trusts Pavel Paclík overall

1. Bernard Haasdonk
2. Jihun Ham
3. Elena Marchiori
4. Heesung Kwon
5. Elzbieta Pekalska
6. Dmitry Zelenko
7. Riccardo Satta
8. Paolo Russu
9. Yihua Chen
10. M. Lozano

Papers from Pavel Paclík's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. The Nature of Statistical Learning Theory
5. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Prototype selection for dissimilarity-based classifiers (2006) — 344 citations
• A Generalized Kernel Approach to Dissimilarity-based Classification (2002) — 423 citations