Hugues Bersini

Artificial Intelligence · 1998–2017

A researcher in the Science corpus: 5 papers; trusts 42 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #12,539 of 35,345 by trust here, #29,412 by citations
• Management Science and Operations Research — 15 citations into it; #5,480 of 11,946 by trust here, #10,893 by citations
• Information Systems — 14 citations into it; #2,278 of 8,771 by trust here, #7,107 by citations
• Model Architectures — 8 citations into it
• Natural Language Processing — 7 citations into it
• Optimization & Training — 6 citations into it
• Recommender Systems — 6 citations into it

Whom Hugues Bersini trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Steffen Rendle
2. Zeno Gantner
3. John C. Duchi
4. Ilya Sutskever
5. Matthew D. Zeiler
6. Christoph Freudenthaler
7. Geoffrey E. Hinton
8. Alex Graves
9. Tomas Mikolov
10. Balázs Hidasi

Who trusts Hugues Bersini overall

1. Balázs Hidasi
2. Malte Ludewig
3. Alexandros Karatzoglou
4. Massimo Quadrana
5. Zeynep Batmaz
6. Han Zhu
7. Dietmar Jannach
8. Souhaib Ben Taieb

Papers from Hugues Bersini's perspective

Ordered by how strongly the researchers Hugues Bersini trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Batch effect removal methods for microarray gene expression data integration: a survey (2013) — 326 citations
• A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis (2012) — 588 citations
• Long and Short-Term Recommendations with Recurrent Neural Networks (2017) — 133 citations
• Collaborative Filtering with Recurrent Neural Networks (2016) — 90 citations
• Lazy Learning Meets the Recursive Least Squares Algorithm (1998)