Kevin Sean Chan

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it; #34,497 of 35,345 by trust here, #7,797 by citations
• Computer Networks and Communications — 45 citations into it; #3,617 of 9,886 by trust here, #505 by citations
• Optimization & Training — 26 citations into it
• Information Systems — 20 citations into it
• Management Science and Operations Research — 18 citations into it
• Sociology and Political Science — 16 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Computational Mechanics — 12 citations into it

Whom Kevin Sean Chan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Audun Jøsang
2. Mark Newman
3. U. Brandes
4. Stephen E. Fienberg
5. L. Eon Bottou
6. David Liben-Nowell
7. Roger C. Mayer
8. Ye Diana Wang
9. Florentin Smarandache
10. J. Breese

Who trusts Kevin Sean Chan overall

1. Umair Mohammad

Papers from Kevin Sean Chan's perspective

Ordered by how strongly the researchers Kevin Sean Chan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Reinforcement Learning: An Introduction
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Deep Learning

Their papers

• Adaptive Federated Learning in Resource Constrained Edge Computing Systems (2018) — 2,085 citations
• When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning (2018) — 487 citations
• Distributed Machine Learning in Coalition Environments: Overview of Techniques (2018) — 15 citations
• Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs (2015) — 258 citations
• A Survey on Trust Modeling (2015) — 320 citations