Dogu Araci

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 104 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #9,696 of 35,345 by trust here, #25,040 by citations
• Natural Language Processing — 7 citations into it
• Management Science and Operations Research — 6 citations into it; #2,361 of 11,946 by trust here, #6,888 by citations

Whom Dogu Araci trusts overall

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

1. Richard Socher
2. Lei Zhang
3. Jeffrey Pennington
4. Jeremy Howard
5. Jacob Devlin
6. Geoffrey E. Hinton
7. Aliaksei Severyn
8. Justin Martineau
9. Mathias Kraus
10. Yoshua Bengio

Who trusts Dogu Araci overall

1. Y. Gorodnichenko
2. Xiaogeng Liu
3. Shijie Wu
4. Tho Pham
5. Nan Xu
6. Oleksandr Talavera
7. Ozan Irsoy
8. Katikapalli Subramanyam Kalyan
9. Muhao Chen
10. Zhuang Liu

Papers from Dogu Araci's perspective

Ordered by how strongly the researchers Dogu Araci 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• FinBERT: Financial Sentiment Analysis with Pre-trained Language Models (2019) — 1,024 citations