Johannes Jurgovsky

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Information Systems — 10 citations into it
• Model Architectures — 8 citations into it
• Natural Language Processing — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Johannes Jurgovsky trusts overall

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

1. Paul J. Werbos
2. Jeffrey L. Elman
3. Thomas G. Dietterich
4. Sepp Hochreiter
5. Andrea Dal Pozzolo
6. Cheng Guo
7. J. Urgen Schmidhuber
8. David A. Cieslak
9. Clifton Phua
10. Abhinav Srivastava

Who trusts Johannes Jurgovsky overall

1. A. Ozbayoglu
2. Saikiran Bulusu
3. M. Ugur Gudelek

Papers from Johannes Jurgovsky's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Sequence classification for credit-card fraud detection (2018) — 465 citations