Maurizio Ferrari Dacrema
Information Systems · 2019
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 25 citations into it; #5,686 of 8,771 by trust here, #4,341 by citations
- Artificial Intelligence — 19 citations into it
- Recommender Systems — 10 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it; #15,453 of 21,575 by trust here, #13,815 by citations
- Management Science and Operations Research — 8 citations into it; #8,066 of 11,946 by trust here, #5,092 by citations
Whom Maurizio Ferrari Dacrema trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hans Ekkehard Plesser
- Chong Wang
- Xia Ning
- Xiaopeng Li
- Yifan Hu
- Massimo Quadrana
- Jun Wang
- Pasquale Lops
- Yao Wu
- Dawen Liang
Who trusts Maurizio Ferrari Dacrema overall
- Kevin Musgrave
- Ruoxi Wang
- Mostafa Dehghani
- Jimmy J. Lin
- Serge J. Belongie
- Zeynep Akkalyoncu Yilmaz
- Yongfeng Zhang
- Federico Bianchi
- Rakesh Shivanna
- Yi Tay
Papers from Maurizio Ferrari Dacrema's perspective
Ordered by how strongly the researchers Maurizio Ferrari Dacrema 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images