Begüm Aydin
Molecular Biology · 2021
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 22 citations into it
Whom Begüm Aydin trusts overall
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Who trusts Begüm Aydin overall
Papers from Begüm Aydin's perspective
Ordered by how strongly the researchers Begüm Aydin trusts endorse each paper. Same corpus, a different order for every researcher.
- How transferable are features in deep neural networks?
- Axiomatic Attribution for Deep Networks
- Multimodal Deep Learning
- The Balanced Accuracy and Its Posterior Distribution (International Conference on Pattern Recognition)
- Fitting a Mixture Model By Expectation Maximization To Discover Motifs In Biopolymer
- FactorNet: a deep learning framework for predicting cell type specific transcription factor binding from nucleotide-resolution sequential data
- Neural Additive Models: Interpretable Machine Learning with Neural Nets
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks