Andrew Cook

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Networks and Communications — 12 citations into it
• Signal Processing — 10 citations into it
• Control and Systems Engineering — 8 citations into it

Whom Andrew Cook trusts overall

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

1. Stephen D. Bay
2. T. Shi
3. Mayu Sakurada
4. Raghavendra Chalapathy
5. Lingxue Zhu
6. Fei Tony Liu
7. Varun Chandola
8. Manoochehr Ghiassi
9. Lovekesh Vig
10. Bernhard Schölkopf

Papers from Andrew Cook's perspective

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

1. Long Short-Term Memory
2. Anomaly detection: A survey
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Learning Multiple Layers of Features from Tiny Images
7. GENERATIVE ADVERSARIAL NETS
8. Gradient-based learning applied to document recognition
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Estimating the Support of a High-Dimensional Distribution

Their papers

• Anomaly Detection for IoT Time-Series Data: A Survey (2020) — 650 citations