Matthew Middlehurst

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Signal Processing — 28 citations into it

Whom Matthew Middlehurst trusts overall

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

1. Jaka Demsar
2. Alessio Benavoli
3. Salvador Garcia
4. Chao Zhang
5. Anthony J. Bagnall
6. R. Caruana
7. Leo Breiman
8. Francisco Herrera
9. Giorgio Corani
10. Jiawei Han

Papers from Matthew Middlehurst's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Going deeper with convolutions
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Statistical Comparisons of Classifiers over Multiple Data Sets
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• HIVE-COTE 2.0: a new meta ensemble for time series classification (2021) — 342 citations
• The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances (2020) — 478 citations