Victoria Blanes-Vidal

Experimental and Cognitive Psychology · 2023

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Victoria Blanes-Vidal trusts overall

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

  1. Margaret M. Bradley
  2. Shervin Minaee
  3. David Moher

Papers from Victoria Blanes-Vidal's perspective

Ordered by how strongly the researchers Victoria Blanes-Vidal trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. An argument for basic emotions
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Measuring emotion: the Self-Assessment Manikin and the Semantic Differential.
  6. ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors (IEEE Transactions on Affective Computing)
  7. Long Short-Term Memory
  8. A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges (Information Fusion)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (Italian National Conference on Sensors)

Their papers