Alexandra Meliou
Artificial Intelligence · 2014–2018
A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it; #24,991 of 35,345 by trust here, #17,776 by citations
- Information Systems — 23 citations into it; #2,661 of 8,771 by trust here, #2,406 by citations
- Safety, Robustness & Interpretability — 21 citations into it
- AI Ethics, Fairness & Society — 18 citations into it
- Safety Research — 18 citations into it; #3,413 of 5,829 by trust here, #2,596 by citations
- Software — 13 citations into it
- Management Science and Operations Research — 11 citations into it; #7,897 of 11,946 by trust here, #6,563 by citations
- Sociology and Political Science — 10 citations into it
Whom Alexandra Meliou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Toon Calders
- Faisal Kamiran
- Andrea Arcuri
- Robert Tibshirani
- Andrew Y. Ng
- J. Ross Quinlan
- Gordon Fraser
- Paolo Tonella
- Bianca Zadrozny
- Indrė Žliobaitė
Who trusts Alexandra Meliou overall
Papers from Alexandra Meliou's perspective
Ordered by how strongly the researchers Alexandra Meliou trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Regression Shrinkage and Selection via the Lasso
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Fairness testing: testing software for discrimination (2017) — 436 citations
- Fusing data with correlations (2014) — 135 citations
- Data X-Ray: A Diagnostic Tool for Data Errors (2015) — 96 citations
- Themis: automatically testing software for discrimination (2018) — 89 citations