Fabrizio Silvestri
Artificial Intelligence · with Gionis · 2007–2020
A researcher in the Science corpus: 12 papers; trusts 147 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 172 citations into it; #14,753 of 35,345 by trust here, #10,667 by citations
- Natural Language Processing — 103 citations into it; #5,212 of 5,688 by trust here, #3,687 by citations
- Information Systems — 83 citations into it; #4,437 of 8,771 by trust here, #3,098 by citations
- Computer Vision and Pattern Recognition — 63 citations into it; #18,299 of 21,575 by trust here, #11,721 by citations
- Large Language Models — 29 citations into it
- Statistical and Nonlinear Physics — 28 citations into it
- Information Retrieval & Search — 24 citations into it
- Sociology and Political Science — 23 citations into it; #19,920 of 22,756 by trust here, #16,952 by citations
Whom Fabrizio Silvestri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ricardo A. Baeza-Yates
- Thorsten Joachims
- C. Burges
- Huaiyu Zhu
- Stephen E. Robertson
- Andrei Z. Broder
- Justin Zobel
- Paolo Boldi
- Jon M. Kleinberg
- Jinxi Xu
Who trusts Fabrizio Silvestri overall
- Carlos Castillo
- Ana Lucic
- Hang Li
- Christoph Molnar
- Giulia Vilone
- Nadia Burkart
- Alexandra Olteanu
- Brendan Avent
- Qingyun Wu
- Q. Liao
Papers from Fabrizio Silvestri's perspective
Ordered by how strongly the researchers Fabrizio Silvestri 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- 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)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- How Decoding Strategies Affect the Verifiability of Generated Text (2019) — 60 citations
- HEADS: Headline Generation as Sequence Prediction Using an Abstract Feature-Rich Space (2015) — 53 citations
- Preserving integrity in online social networks (2020) — 64 citations
- Neural Databases (2020) — 9 citations
- Promoting Positive Post-Click Experience for In-Stream Yahoo Gemini Users (2015) — 34 citations
- Improving Post-Click User Engagement on Native Ads via Survival Analysis (2016) — 66 citations
- Interpretable Predictions of Tree-based Ensembles via Actionable Feature Tweaking (2017) — 236 citations
- On the Behaviour of Deviant Communities in Online Social Networks (2016) — 13 citations
- Mining Query Logs: Turning Search Usage Data into Knowledge (2010) — 202 citations
- Design trade-offs for search engine caching (2008) — 99 citations
- Know your neighbors: web spam detection using the web topology (2007) — 404 citations
- The impact of caching on search engines (2007) — 234 citations