Adam Kowalczyk

Artificial Intelligence · 2002–2004

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #8,060 of 35,345 by trust here, #16,471 by citations
• Statistical Learning Theory — 6 citations into it; #385 of 1,038 by trust here, #384 by citations

Whom Adam Kowalczyk trusts overall

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

1. Bernhard Schölkopf
2. Sally A. Goldman
3. Ralf Herbrich
4. Hendrik Blockeel
5. Alex Smola
6. Vladimir Naumovich Vapnik
7. Soumya Ray
8. Jun Wang

Who trusts Adam Kowalczyk overall

1. Charu C. Aggarwal
2. Zhi-Hua Zhou
3. Haibo He
4. Sudheendra Vijayanarasimhan
5. Paula Branco
6. Samuel Rota Bulò
7. Nguyen Thai-Nghe
8. Arthur Gretton
9. Alberto Fernández
10. Jaume Amores

Papers from Adam Kowalczyk's perspective

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

1. A training algorithm for optimal margin classifiers
2. ImageNet classification with deep convolutional neural networks
3. Solving the Multiple Instance Problem with Axis-Parallel Rectangles
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Convolution kernels on discrete structures
9. Long Short-Term Memory
10. Integrated Segmentation and Recognition of Hand-Printed Numerals

Their papers

• Extreme re-balancing for SVMs: a case study (2004) — 350 citations
• Multi-Instance Kernels (2002) — 574 citations