Milica M. Badža

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Neurology — 12 citations into it
• Artificial Intelligence — 8 citations into it

Whom Milica M. Badža trusts overall

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

1. Tzu-Tsung Wong
2. Xavier Glorot
3. Parnian Afshar
4. Yoshua Bengio
5. K. Plataniotis
6. Arash Mohammadi
7. Saeeda Naz
8. Hossam H. Sultan

Papers from Milica M. Badža's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet: A large-scale hierarchical image database
6. Understanding the difficulty of training deep feedforward neural networks
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Classification of Brain Tumors from MRI Images Using a Convolutional Neural Network (2020) — 580 citations