Nenad D. Filipovic

Artificial Intelligence · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it
• Molecular Biology — 8 citations into it
• Signal Processing — 6 citations into it

Whom Nenad D. Filipovic trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Matthew D. Zeiler
5. Kaiming He
6. Yoshua Bengio
7. Chris H. Q. Ding
8. Yann LeCun
9. Stan Salvador

Papers from Nenad D. Filipovic's perspective

Ordered by how strongly the researchers Nenad D. Filipovic 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. ImageNet Large Scale Visual Recognition Challenge
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• AI in Medical Imaging Informatics: Current Challenges and Future Directions (2020) — 524 citations
• Minimum redundancy maximum relevance feature selection approach for temporal gene expression data (2017) — 429 citations