Mirco Musolesi
Computer Networks and Communications · 2005–2021
A researcher in the Science corpus: 15 papers; trusts 80 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 75 citations into it; #1,146 of 9,886 by trust here, #1,370 by citations
- Computer Vision and Pattern Recognition — 53 citations into it; #18,490 of 21,575 by trust here, #5,620 by citations
- Statistical and Nonlinear Physics — 42 citations into it; #8,902 of 10,127 by trust here, #7,747 by citations
- Artificial Intelligence — 38 citations into it
- Electrical and Electronic Engineering — 26 citations into it
- Transportation — 24 citations into it; #294 of 2,062 by trust here, #170 by citations
- Signal Processing — 20 citations into it
- Experimental and Cognitive Psychology — 14 citations into it; #5,857 of 9,731 by trust here, #7,077 by citations
Whom Mirco Musolesi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Jie Wu
- András Varga
- Pan Hui
- Augustin Chaintreau
- Réka Albert
- Alan M. Frieze
- Cecilia Mascolo
- Tamer Basar
- David F. Kotz
Who trusts Mirco Musolesi overall
- Cecilia Mascolo
- Zhili Sun
- Jérémie Leguay
- Paolo Costa
- Zhensheng Zhang
- Chiara Boldrini
- Elizabeth M. Daly
- Jérôme Härri
- Marco Conti
- Pan Hui
Papers from Mirco Musolesi's perspective
Ordered by how strongly the researchers Mirco Musolesi 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- The Anatomy of a Scientific Rumor (2013) — 352 citations
- It's the way you check-in: identifying users in location-based social networks (2014) — 82 citations
- Copyright in generative deep learning (2021) — 89 citations
- Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis (2015) — 509 citations
- InterruptMe: designing intelligent prompting mechanisms for pervasive applications (2014) — 311 citations
- NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011) — 312 citations
- EmotionSense: a mobile phones based adaptive platform for experimental social psychology research (2010) — 536 citations
- CAR: Context-Aware Adaptive Routing for Delay-Tolerant Mobile Networks (2009) — 304 citations
- The Rise of People-Centric Sensing (2008) — 669 citations
- Urban sensing systems: opportunistic or participatory? (2008) — 305 citations
- Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application (2008) — 1,219 citations
- Socially-aware routing for publish-subscribe in delay-tolerant mobile ad hoc networks (2008) — 527 citations
- Designing mobility models based on social network theory (2007) — 325 citations
- A community based mobility model for ad hoc network research (2006) — 384 citations
- Adaptive routing for intermittently connected mobile ad hoc networks (2005) — 465 citations