Eftychios E. Protopapadakis
Computer Vision and Pattern Recognition · 2015–2021
A researcher in the Science corpus: 3 papers; trusts 251 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 64 citations into it
- Artificial Intelligence — 35 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Management Science and Operations Research — 11 citations into it
- Probabilistic & Bayesian Methods — 11 citations into it
- Signal Processing — 9 citations into it
- Model Architectures — 8 citations into it
- Generative Models — 5 citations into it
Whom Eftychios E. Protopapadakis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yurii E. Nesterov
- Yoshua Bengio
- Ruslan Salakhutdinov
- Alex Krizhevsky
- Yann LeCun
- Ross B. Girshick
- Kaiming He
- Diederik P. Kingma
- Ilya Sutskever
Papers from Eftychios E. Protopapadakis's perspective
Ordered by how strongly the researchers Eftychios E. Protopapadakis 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Stacked Autoencoders Driven by Semi-Supervised Learning for Building Extraction from near Infrared Remote Sensing Imagery (2021) — 99 citations
- Deep Learning for Computer Vision: A Brief Review (2018) — 3,350 citations
- Stock trend forecasting in turbulent market periods using neuro-fuzzy systems (2015) — 35 citations