V. H. C. de Albuquerque

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 8 papers; trusts 65 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it
• Computer Vision and Pattern Recognition — 70 citations into it
• Biomedical Engineering — 21 citations into it
• Model Architectures — 14 citations into it
• Electrical and Electronic Engineering — 12 citations into it
• Mechanical Engineering — 10 citations into it
• Media Technology — 10 citations into it
• Optimization & Training — 6 citations into it

Whom V. H. C. de Albuquerque trusts overall

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

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

Papers from V. H. C. de Albuquerque's perspective

Ordered by how strongly the researchers V. H. C. de Albuquerque trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Going deeper with convolutions
7. ImageNet Large Scale Visual Recognition Challenge
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images (2020) — 633 citations
• A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection (2020) — 304 citations
• Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions (2020) — 595 citations
• Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey (2020) — 325 citations
• Internet of Things: A survey on machine learning-based intrusion detection approaches (2019) — 455 citations
• Enabling Technologies for the Internet of Health Things (2018) — 334 citations
• Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning Applications (2018) — 490 citations
• Drilling tool geometry evaluation for reinforced composite laminates (2010) — 287 citations