Shi-Jinn Horng

Artificial Intelligence · 2011–2020

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Model Architectures — 5 citations into it

Whom Shi-Jinn Horng trusts overall

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

1. Alex Krizhevsky
2. Alex Graves
3. J. Urgen Schmidhuber

Who trusts Shi-Jinn Horng overall

1. Preeti Mishra
2. Mohammed A. Ambusaidi

Papers from Shi-Jinn Horng's perspective

Ordered by how strongly the researchers Shi-Jinn Horng trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Multivariate time series forecasting via attention-based encoder-decoder framework (2020) — 412 citations
• Deep Air Quality Forecasting Using Hybrid Deep Learning Framework (2018) — 423 citations
• A novel intrusion detection system based on hierarchical clustering and support vector machines (2011) — 524 citations