Alexandre Xavier Falcão

Artificial Intelligence · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2000–2022

A researcher in the Science corpus: 6 papers; trusts 70 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it; #17,584 of 35,345 by trust here, #18,586 by citations
• Computer Vision and Pattern Recognition — 48 citations into it; #9,894 of 21,575 by trust here, #10,154 by citations
• Optimization & Training — 10 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Alexandre Xavier Falcão trusts overall

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

1. Ravindra K. Ahuja
2. T. Lindvall
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Yann LeCun
7. Luc M. Vincent
8. Thorsten Joachims
9. Eric N. Mortensen
10. L. V. D. van der Maaten

Who trusts Alexandre Xavier Falcão overall

1. Ting Liu
2. João Paulo Papa
3. Kang Li
4. Punam Kumar Saha
5. Rodrigo Nakamura
6. Wenxian Yang
7. Camille Couprie
8. Ricardo Fabbri
9. Erik H. W. Meijering
10. Miaomiao Zhang

Papers from Alexandre Xavier Falcão's perspective

Ordered by how strongly the researchers Alexandre Xavier Falcão 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. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Visualizing the Hidden Activity of Artificial Neural Networks (2017) — 311 citations
• An ultra-fast user-steered image segmentation paradigm: live wire on the fly (2000) — 334 citations
• Supervised pattern classification based on optimum‐path forest (2009) — 354 citations
• Federated learning enables big data for rare cancer boundary detection (2022) — 346 citations
• The image foresting transform: theory, algorithms, and applications (2004) — 635 citations
• A compact and efficient image retrieval approach based on border/interior pixel classification (2002) — 342 citations