Pablo V. A. Barros
Experimental and Cognitive Psychology · 2016–2018
A researcher in the Science corpus: 5 papers; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Experimental and Cognitive Psychology — 28 citations into it; #7,527 of 9,731 by trust here, #6,609 by citations
- Cognitive Neuroscience — 25 citations into it
- Computer Vision and Pattern Recognition — 23 citations into it; #21,268 of 21,575 by trust here, #19,310 by citations
- Social Psychology — 16 citations into it; #15,392 of 15,694 by trust here, #13,203 by citations
- Sensory Systems — 13 citations into it
- Artificial Intelligence — 9 citations into it
- Signal Processing — 7 citations into it
Whom Pablo V. A. Barros trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Teuvo Kohonen
- Ralph Adolphs
- Yann LeCun
- Yoshua Bengio
- Paul A. Viola
- Xavier Glorot
- David H. Hubel
- David C. Van Essen
- German Ignacio Parisi
- Geoffrey E. Hinton
Who trusts Pablo V. A. Barros overall
Papers from Pablo V. A. Barros's perspective
Ordered by how strongly the researchers Pablo V. A. Barros trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Expectation Learning for Adaptive Crossmodal Stimuli Association (2018) — 3 citations
- A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments * (2018) — 13 citations
- Emotion Recognition from Body Expressions with a Neural Network Architecture (2017) — 26 citations
- A computational model of crossmodal processing for conflict resolution (2017) — 9 citations
- Developing crossmodal expression recognition based on a deep neural model (2016) — 70 citations