Marko Barjaktarovic

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 Marko Barjaktarovic 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

Papers from Marko Barjaktarovic's perspective

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

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

Their papers

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