François Rousseau
Artificial Intelligence · with Vazirgiannis · 2013–2016
A researcher in the Science corpus: 4 papers; trusts 61 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it; #8,917 of 35,345 by trust here, #21,316 by citations
- Information Systems — 23 citations into it; #5,727 of 8,771 by trust here, #8,494 by citations
- Natural Language Processing — 21 citations into it; #4,413 of 5,688 by trust here, #5,092 by citations
- Information Retrieval & Search — 16 citations into it
- Molecular Biology — 11 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Statistical and Nonlinear Physics — 9 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom François Rousseau trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Roi Blanco
- Thorsten Joachims
- S. Seidman
- Günes Erkan
- Peter D. Turney
- Taku Kudo
- Katja Filippova
- Anette Hulth
- Chengxiang Zhai
- Rada Mihalcea
Who trusts François Rousseau overall
- Fragkiskos D. Malliaros
- Konstantinos Skianis
- Zhuyun Dai
- Liang Zheng
- Masumi Shirakawa
- Michalis Vazirgiannis
- Jamie Callan
- Yufeng Zhang
- Hao Peng
- Leo Liberti
Papers from François Rousseau's perspective
Ordered by how strongly the researchers François Rousseau trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Regularizing Text Categorization with Clusters of Words (2016) — 15 citations
- Text Categorization as a Graph Classification Problem (2015) — 127 citations
- Main Core Retention on Graph-of-Words for Single-Document Keyword Extraction (2015) — 85 citations
- Graph-of-word and TW-IDF: new approach to ad hoc IR (2013) — 156 citations