Graciela Gonzalez
Artificial Intelligence · 2007–2014
A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #8,369 of 35,345 by trust here, #19,018 by citations
- Natural Language Processing — 18 citations into it
- Molecular Biology — 12 citations into it; #2,162 of 17,773 by trust here, #11,410 by citations
- Computational Theory and Mathematics — 8 citations into it; #8,417 of 12,182 by trust here, #9,804 by citations
- Statistics and Probability — 6 citations into it
- Toxicology — 6 citations into it; #25 of 76 by trust here, #68 by citations
- Representation & Self-Supervised Learning — 5 citations into it
Whom Graciela Gonzalez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alan R. Aronson
- Andrew McCallum
- Chih-Jen Lin
- Burr Settles
- Alexander S. Yeh
- Marti A. Hearst
- A. Viera
- Charles Sutton
- Harsha Gurulingappa
- Michael Kuhn
Who trusts Graciela Gonzalez overall
- Robert Leaman
- Chih-Hsuan Wei
- Zhiyong Lu
- Rezarta Islamaj Dogan
- Abeed Sarker
- Azadeh Nikfarjam
- Harsurinder Kaur
- Jinghang Gu
- Siddhartha R. Jonnalagadda
- Maryam Habibi
Papers from Graciela Gonzalez's perspective
Ordered by how strongly the researchers Graciela Gonzalez trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Latent Dirichlet Allocation
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- BANNER: An Executable Survey of Advances in Biomedical Named Entity Recognition (2007) — 578 citations
- Enhancing clinical concept extraction with distributional semantics (2011) — 130 citations
- Portable Automatic Text Classification for Adverse Drug Reaction Detection via Multi-corpus Training (2014) — 374 citations
- Towards Internet-Age Pharmacovigilance: Extracting Adverse Drug Reactions from User Posts in Health-Related Social Networks (2010) — 314 citations