Branko Kavsek
Statistical Learning Theory · 2004
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Statistical Learning Theory — 5 citations into it
Whom Branko Kavsek trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Branko Kavsek overall
- Petra Kralj Novak
- Ulrich Rückert
- Albrecht Zimmermann
- Tarek Abudawood
- Bing Liu
- Nada Lavrac
- Daniel Rodríguez
- Peter A. Flach
Papers from Branko Kavsek's perspective
Ordered by how strongly the researchers Branko Kavsek trusts endorse each paper. Same corpus, a different order for every researcher.
- Improved Boosting Algorithms Using Confidence-rated Predictions
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Fast Effective Rule Induction
- Long Short-Term Memory
- A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems
- Rule Induction with CN2: Some Recent Improvements
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Subgroup Discovery with CN2-SD (2004) — 441 citations