Valsamo Anagnostou
Artificial Intelligence · 2013–2019
A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
Whom Valsamo Anagnostou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Valsamo Anagnostou's perspective
Ordered by how strongly the researchers Valsamo Anagnostou trusts endorse each paper. Same corpus, a different order for every researcher.
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Dropout: a simple way to prevent neural networks from overfitting
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Deep Learning
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Genome-wide cell-free DNA fragmentation in patients with cancer (2019) — 1,195 citations
- Neoadjuvant PD-1 Blockade in Resectable Lung Cancer (2018) — 1,781 citations
- Direct detection of early-stage cancers using circulating tumor DNA (2017) — 983 citations
- Evaluation of machine learning methods to predict peptide binding to MHC Class I proteins (2017) — 35 citations
- Evolution of neoantigen landscape during immune checkpoint blockade in non-small cell lung cancer (2016) — 766 citations
- Programmed death ligand-1 expression in non-small cell lung cancer (2013) — 753 citations