Eirini Arvaniti

Molecular Biology · 2016–2024

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 59 citations into it
• Computational Biology & Bioinformatics — 43 citations into it
• Biophysics — 9 citations into it
• Model Architectures — 7 citations into it

Whom Eirini Arvaniti trusts overall

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

1. Christof Angermueller
2. Joseph A. DiGiuseppe
3. Martin Ester
4. Robert V. Bruggner
5. Michelle D. Tadmor
6. Nima Aghaeepour
7. Sean Bendall
8. Diederik P. Kingma
9. Geoffrey E. Hinton
10. Erin F. Simonds

Who trusts Eirini Arvaniti overall

1. Chetan L. Srinidhi
2. Balazs Acs
3. Davood Karimi
4. Massimo Salvi
5. Malte D. Luecken

Papers from Eirini Arvaniti's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet Large Scale Visual Recognition Challenge
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Accurate structure prediction of biomolecular interactions with AlphaFold 3 (2024) — 12,322 citations
• Sensitive detection of rare disease-associated cell subsets via representation learning (2016) — 170 citations
• Automated Gleason grading of prostate cancer tissue microarrays via deep learning (2018) — 425 citations