Gonçalo Marques

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Radiology, Nuclear Medicine and Imaging — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Optimization & Training — 6 citations into it

Whom Gonçalo Marques trusts overall

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

1. Mingxing Tan
2. Ioannis D. Apostolopoulos
3. Suat Toraman
4. Nisha Muralidharan
5. Alexander V. Buslaev
6. Sakshi Ahuja
7. Joseph Paul Cohen
8. Quoc V. Le
9. T. Ozturk
10. Tzani Bessiana

Papers from Gonçalo Marques's perspective

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

Their papers

• Application of linear regression algorithm and stochastic gradient descent in a machine‐learning environment for predicting biomass higher heating value (2020) — 54 citations
• Automated medical diagnosis of COVID-19 through EfficientNet convolutional neural network (2020) — 360 citations