Eugenio Di Sciascio
Information Systems · 2016–2018
A researcher in the Science corpus: 5 papers; trusts 37 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 66 citations into it; #4,784 of 8,771 by trust here, #5,942 by citations
- Artificial Intelligence — 47 citations into it; #22,241 of 35,345 by trust here, #25,809 by citations
- Recommender Systems — 28 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it
- Management Science and Operations Research — 16 citations into it
- Representation & Self-Supervised Learning — 15 citations into it
- Marketing — 7 citations into it
- Signal Processing — 6 citations into it
Whom Eugenio Di Sciascio trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Steffen Rendle
- Yoshua Bengio
- Zeno Gantner
- Diederik P. Kingma
- Xia Ning
- Xavier Glorot
- Pascal Vincent
- Nava Tintarev
- Hao Wang
Who trusts Eugenio Di Sciascio overall
Papers from Eugenio Di Sciascio's perspective
Ordered by how strongly the researchers Eugenio Di Sciascio trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
Their papers
- Computing Recommendations via a Knowledge Graph-aware Autoencoder (2018) — 8 citations
- Knowledge-aware Autoencoders for Explainable Recommender Systems (2018) — 45 citations
- Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios (2017) — 31 citations
- Schema-summarization in linked-data-based feature selection for recommender systems (2017) — 24 citations
- Sound and Music Recommendation with Knowledge Graphs (2016) — 152 citations