Michal Wozniak

Artificial Intelligence · 2014–2017

A researcher in the Science corpus: 4 papers; trusts 53 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 113 citations into it; #13,626 of 35,345 by trust here, #10,667 by citations
• Computer Vision and Pattern Recognition — 26 citations into it
• Information Systems — 22 citations into it; #3,130 of 8,771 by trust here, #2,912 by citations
• Statistics and Probability — 17 citations into it
• Management Science and Operations Research — 15 citations into it
• Signal Processing — 15 citations into it
• Computer Networks and Communications — 11 citations into it
• Electrical and Electronic Engineering — 11 citations into it; #9,962 of 16,539 by trust here, #12,348 by citations

Whom Michal Wozniak trusts overall

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

1. David Hilton Wolpert
2. Leo Breiman
3. Ludmila I. Kuncheva
4. Robert E. Schapire
5. Robert P. W. Duin
6. Subhash C. Bagui
7. Yoav Freund
8. R. Rivest
9. Ralf Klinkenberg
10. J. Kolter

Who trusts Michal Wozniak overall

1. Honglin Li
2. Bartosz Krawczyk
3. Ningshan Chen
4. Yifeng Li
5. Shirin Enshaeifar
6. Haoyue Liu
7. Bernardete Ribeiro
8. Fang-Xiang Wu
9. Frieder Ganz

Papers from Michal Wozniak's perspective

Ordered by how strongly the researchers Michal Wozniak 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Bagging Predictors
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Cost-sensitive decision tree ensembles for effective imbalanced classification (2014) — 361 citations
• Ensemble learning for data stream analysis: A survey (2017) — 990 citations
• Advances in Computing, Communications and Informatics (ICACCI) (2015) — 1,201 citations
• A survey of multiple classifier systems as hybrid systems (2014) — 959 citations