Noémie Elhadad
Artificial Intelligence · 2002–2017
A researcher in the Science corpus: 9 papers; trusts 72 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 72 citations into it; #8,129 of 35,345 by trust here, #3,498 by citations
- Molecular Biology — 40 citations into it
- Natural Language Processing — 15 citations into it
- Generative Models — 14 citations into it
- Health Information Management — 14 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Statistics and Probability — 9 citations into it
- Medical & Health AI — 7 citations into it; #50 of 239 by trust here, #4 by citations
Whom Noémie Elhadad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ivan Titov
- Ana-Maria Popescu
- Peter D. Turney
- Geoffrey E. Hinton
- David M. Blei
- Thorsten Joachims
- Diederik P. Kingma
- David Yarowsky
- Michael I. Jordan
- Burr Settles
Who trusts Noémie Elhadad overall
- Julian McAuley
- Maria Pontiki
- Gayatree Ganu
- Wayne Xin Zhao
- Ruidan He
- Mirella Lapata
- Jure Leskovec
- Yang Bao
- B. Liu
- Dimitris Galanis
Papers from Noémie Elhadad's perspective
Ordered by how strongly the researchers Noémie Elhadad 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission (2015) — 1,942 citations
- Inferring Strategies for Sentence Ordering in Multidocument News Summarization (2002) — 378 citations
- Unsupervised biomedical named entity recognition: Experiments with clinical and biological texts (2013) — 245 citations
- Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories (2017) — 43 citations
- Deep Survival Analysis (2016)
- Identifying and Mitigating Biases in EHR Laboratory Tests (2014) — 94 citations
- A review of approaches to identifying patient phenotype cohorts using electronic health records (2013) — 528 citations
- An Unsupervised Aspect-Sentiment Model for Online Reviews (2010) — 562 citations
- Beyond the Stars: Improving Rating Predictions using Review Text Content (2009) — 492 citations