Theodoros Salonidis
Computer Networks and Communications · 2001–2018
A researcher in the Science corpus: 7 papers; trusts 36 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 42 citations into it; #2,525 of 9,886 by trust here, #471 by citations
- Artificial Intelligence — 35 citations into it; #22,582 of 35,345 by trust here, #7,531 by citations
- Computer Vision and Pattern Recognition — 26 citations into it
- Optimization & Training — 23 citations into it
- Electrical and Electronic Engineering — 21 citations into it
- Computational Mechanics — 10 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Theodoros Salonidis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- L. Eon Bottou
- Yann LeCun
- Geoffrey E. Hinton
- Shai Shalev-Shwartz
- Yoshua Bengio
- Ilya Sutskever
- Ross B. Girshick
- Leandros Tassiulas
- Omesh Tickoo
Who trusts Theodoros Salonidis overall
- Umair Mohammad
- Sameh Sorour
- Lumin Liu
- M. Benaim
- Ahmed Khaled
- M. G. Sarwar Murshed
- Khaled Ben Letaief
- Yiwen Han
- Jihong Park
- Howard H. Yang
Papers from Theodoros Salonidis's perspective
Ordered by how strongly the researchers Theodoros Salonidis trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems (2018) — 2,085 citations
- The Role of Aggregators in Smart Grid Demand Response Markets (2013) — 493 citations
- When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning (2018) — 487 citations
- Demo abstract: Distributed machine learning at resource-limited edge nodes (2018) — 31 citations
- DeepCham: Collaborative Edge-Mediated Adaptive Deep Learning for Mobile Object Recognition (2016) — 92 citations
- Modeling Per-Flow Throughput and Capturing Starvation in CSMA Multi-Hop Wireless Networks (2006) — 400 citations
- Distributed topology construction of Bluetooth personal area networks (2001) — 423 citations