Pietro Di Lena

Molecular Biology · 2010–2012

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 25 citations into it; #2,832 of 17,773 by trust here, #7,041 by citations
• Materials Chemistry — 17 citations into it
• Computational Biology & Bioinformatics — 14 citations into it; #206 of 660 by trust here, #386 by citations
• Artificial Intelligence — 6 citations into it

Whom Pietro Di Lena trusts overall

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

1. Pierre Baldi
2. Yang Zhang
3. Iakes Ezkurdia
4. Gianluca Pollastri
5. Andriy Kryshtafovych
6. Arthur M. Lesk
7. Hugo Larochelle
8. Kevin J. Karplus
9. Krzysztof Fidelis
10. Yoshua Bengio

Who trusts Pietro Di Lena overall

1. Jinbo Xu
2. Sheng Wang
3. Marcin J. Skwark
4. Robin Pearce
5. Seonwoo Min
6. Mirko Torrisi
7. Matthew Spencer
8. Z. Li
9. Søren Kaae Sønderby
10. Michael K. K. Leung

Papers from Pietro Di Lena's perspective

Ordered by how strongly the researchers Pietro Di Lena 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. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep architectures for protein contact map prediction (2012) — 286 citations
• Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction (2012) — 45 citations
• Fast overlapping of protein contact maps by alignment of eigenvectors (2010) — 47 citations