Jesús Martínez del Rincón

Artificial Intelligence · 2016–2020

A researcher in the Science corpus: 3 papers; trusts 134 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it; #10,818 of 21,575 by trust here, #12,172 by citations
• Computer Networks and Communications — 23 citations into it
• Biomedical Engineering — 6 citations into it; #3,317 of 10,734 by trust here, #5,917 by citations
• Model Architectures — 6 citations into it
• Natural Language Processing — 6 citations into it

Whom Jesús Martínez del Rincón trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Yann LeCun
6. Diederik P. Kingma
7. Andrew Zisserman
8. Michael C. Mozer
9. Yoshua Bengio
10. Kaiming He

Who trusts Jesús Martínez del Rincón overall

1. Mang Ye
2. Liang Zheng
3. Xuelin Qian
4. Mahdi M. Kalayeh
5. Rahul Rama Varior
6. Shuangjie Xu
7. Hao Liu
8. Ankit Thakkar
9. Jianlou Si

Papers from Jesús Martínez del Rincón's perspective

Ordered by how strongly the researchers Jesús Martínez del Rincón 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Recurrent Convolutional Network for Video-Based Person Re-identification (2016) — 589 citations
• Lucid: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection (2020) — 334 citations
• Deep Android Malware Detection (2017) — 480 citations