Mete Katircioglu

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Mete Katircioglu trusts overall

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

1. Zachary Chase Lipton
2. Ethem Alpaydin
3. Chet Langin
4. Yoshua Bengio
5. Alex Graves
6. Martin A. Riedmiller
7. Chih-Wei Hsu
8. Geoffrey E. Hinton
9. Girish Chandrashekar

Papers from Mete Katircioglu's perspective

Ordered by how strongly the researchers Mete Katircioglu 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. Speech recognition with deep recurrent neural networks
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Learning long-term dependencies with gradient descent is difficult
10. The Nature of Statistical Learning Theory

Their papers

• Real-time prediction of online shoppers’ purchasing intention using multilayer perceptron and LSTM recurrent neural networks (2018) — 232 citations