Heinz Handels

Model Architectures · 2002–2016

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Model Architectures — 8 citations into it

Whom Heinz Handels trusts overall

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

1. Erkki Oja
2. Kunihiko Fukushima
3. Claus Nebauer
4. John G. Daugman
5. Pierre Baldi
6. Yoshua Bengio

Who trusts Heinz Handels overall

1. Juan B. Mena

Papers from Heinz Handels's perspective

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

1. Learning internal representations by error propagation
2. Learning long-term dependencies with gradient descent is difficult
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Neural networks and physical systems with emergent collective computational abilities.
7. Pattern recognition : a statistical approach
8. Neural networks and principal component analysis: Learning from examples without local minima
9. Learning Multiple Layers of Features from Tiny Images
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Image processing with neural networks - a review (2002) — 1,224 citations
• Predicting Stroke Lesion and Clinical Outcome with Random Forests (2016) — 11 citations