Marco Stolpe

Artificial Intelligence · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it

Whom Marco Stolpe trusts overall

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

1. Bernhard Schölkopf
2. Ivor Wai-Hung Tsang
3. Pedro A. Forero
4. S. Sathiya Keerthi
5. Ulf Brefeld
6. Alex Smola
7. James T. Kwok
8. Alfonso Cano
9. Thorsten Joachims
10. David G. Lowe

Papers from Marco Stolpe's perspective

Ordered by how strongly the researchers Marco Stolpe 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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Learning with Kernels: support vector machines, regularization, optimization, and beyond
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Sustainable Industrial Processes by Embedded Real-Time Quality Prediction (2016) — 16 citations
• Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines (2013) — 21 citations