Pamela Ventola

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 4 papers; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 46 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Representation & Self-Supervised Learning — 13 citations into it

Whom Pamela Ventola trusts overall

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

1. Geoffrey E. Hinton
2. Karen Simonyan
3. Alex Krizhevsky

Papers from Pamela Ventola's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. ImageNet: A large-scale hierarchical image database
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results (2020) — 471 citations
• BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis (2020) — 802 citations
• Improving social skills in children with ASD using a long-term, in-home social robot (2018) — 345 citations
• Brain Biomarker Interpretation in ASD Using Deep Learning and fMRI (2018) — 79 citations