Sergio Barbarossa
Computer Networks and Communications · 2002–2020
A researcher in the Science corpus: 8 papers; trusts 42 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 43 citations into it; #2,266 of 9,886 by trust here, #816 by citations
- Electrical and Electronic Engineering — 42 citations into it; #2,573 of 16,539 by trust here, #3,290 by citations
- Artificial Intelligence — 26 citations into it; #34,219 of 35,345 by trust here, #26,682 by citations
- Information Systems — 14 citations into it
- Statistical and Nonlinear Physics — 11 citations into it; #9,769 of 10,127 by trust here, #8,564 by citations
- Computational Mechanics — 10 citations into it
- Computational Theory and Mathematics — 10 citations into it; #11,829 of 12,182 by trust here, #9,804 by citations
- Computer Vision and Pattern Recognition — 10 citations into it
Whom Sergio Barbarossa trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aliaksei Sandryhaila
- Byung-Gon Chun
- José M. F. Moura
- Xu Chen
- Andy Clark
- Karthik Kumar
- David I. Shuman
- Petros Maniatis
- Yuyi Mao
- Andrius Aucinas
Who trusts Sergio Barbarossa overall
- Yuyi Mao
- Feng Wang
- Xiaowen Cao
- Ian F. Akyildiz
- Jie Xu
- Jun Zhang
- Changsheng You
- Khaled Ben Letaief
- D. P. Palomar
- Liqing Liu
Papers from Sergio Barbarossa's perspective
Ordered by how strongly the researchers Sergio Barbarossa 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Information Theory: 1948-1998 - Guest Editorial
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Optimal designs for space-time linear precoders and decoders (2002) — 877 citations
- Communicating While Computing: Distributed mobile cloud computing over 5G heterogeneous networks (2014) — 451 citations
- Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing (2014) — 877 citations
- 6G: The Next Frontier: From Holographic Messaging to Artificial Intelligence Using Subterahertz and Visible Light Communication (2019) — 540 citations
- Optimal Linear Precoding Strategies for Wideband Noncooperative Systems Based on Game Theory—Part I: Nash Equilibria (2007) — 300 citations
- 6G Networks: Beyond Shannon Towards Semantic and Goal-Oriented Communications (2020) — 548 citations
- Signals on Graphs: Uncertainty Principle and Sampling (2015) — 347 citations
- On the degrees of freedom of signals on graphs (2015) — 16 citations