Vincenzo Pasquadibisceglie

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vincenzo Pasquadibisceglie trusts overall

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

  1. Curtis G. Northcutt
  2. Maayan Frid-Adar
  3. Nithya Sambasivan

Papers from Vincenzo Pasquadibisceglie's perspective

Ordered by how strongly the researchers Vincenzo Pasquadibisceglie trusts endorse each paper. Same corpus, a different order for every researcher.

  1. “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI
  2. Confident Learning: Estimating Uncertainty in Dataset Labels
  3. Synthetic data augmentation using GAN for improved liver lesion classification
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. GENERATIVE ADVERSARIAL NETS
  10. Dropout: a simple way to prevent neural networks from overfitting

Their papers