Tatiana T. Marquez-Lago
Molecular Biology · 2009–2020
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 73 citations into it
Whom Tatiana T. Marquez-Lago trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Tatiana T. Marquez-Lago overall
Papers from Tatiana T. Marquez-Lago's perspective
Ordered by how strongly the researchers Tatiana T. Marquez-Lago trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Dropout: a simple way to prevent neural networks from overfitting
- Human-level control through deep reinforcement learning
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- A tunable synthetic mammalian oscillator (2009) — 616 citations
- iLearn : an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data (2019) — 351 citations
- A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction (2020) — 147 citations
- iFeature: a Python package and web server for features extraction and selection from protein and peptide sequences (2018) — 606 citations