Ulas Bagci

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Model Architectures — 7 citations into it

Whom Ulas Bagci trusts overall

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

1. Barret Zoph
2. Nate Kohl
3. Quoc V. Le
4. Prajit Ramachandran
5. Richard S. Sutton
6. Peter Stone
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Kaiming He

Papers from Ulas Bagci's perspective

Ordered by how strongly the researchers Ulas Bagci 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
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. Densely Connected Convolutional Networks

Their papers

• Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge (2019) — 346 citations
• Automatically Designing CNN Architectures for Medical Image Segmentation (2018) — 93 citations