Juan Domingo Velásquez

Artificial Intelligence · 2011–2016

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Natural Language Processing — 20 citations into it
• Information Systems — 11 citations into it

Whom Juan Domingo Velásquez trusts overall

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

1. Bo Pang
2. B. Liu
3. George A. Miller
4. Belur V. Dasarathy
5. Lillian Lee
6. Minqing Hu
7. Bing Liu
8. John D. Lafferty
9. Carlo Strapparava
10. Duncan Smith

Papers from Juan Domingo Velásquez's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Opinion Mining and Information Fusion: A survey (2016) — 238 citations
• Outlier-Based Approaches for Intrinsic and External Plagiarism Detection (2011) — 29 citations