Magdalini Paschali

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Safety, Robustness & Interpretability — 9 citations into it

Whom Magdalini Paschali trusts overall

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

1. Christian Szegedy
2. Kaiming He
3. Karen Simonyan
4. Ian J. Goodfellow
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Ilya Sutskever
8. Yoshua Bengio
9. Yann LeCun
10. Andrew Zisserman

Who trusts Magdalini Paschali overall

1. Chengzhi Mao
2. Sungbin Lim
3. Daniel E. Ho
4. Steven Y. Feng

Papers from Magdalini Paschali's perspective

Ordered by how strongly the researchers Magdalini Paschali 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Data Augmentation with Manifold Exploring Geometric Transformations for Increased Performance and Robustness (2019) — 22 citations
• Generalizability vs. Robustness: Adversarial Examples for Medical Imaging (2018) — 102 citations