Simon Malinowski

Artificial Intelligence · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Simon Malinowski trusts overall

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

1. Yoshua Bengio
2. Alex Krizhevsky
3. Yann LeCun
4. Andrew G. Howard
5. Marco Cuturi
6. Geoffrey E. Hinton
7. Ronan Collobert
8. Ilya Sutskever
9. L. Eon Bottou
10. Chotirat (Ann) Ratanamahatana

Who trusts Simon Malinowski overall

1. Charlotte Pelletier
2. Yaguo Lei
3. Guanghai Dai
4. Bin Zhou
5. Qingsong Wen
6. Mononito Goswami

Papers from Simon Malinowski's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Direct Remaining Useful Life Estimation Based on Support Vector Regression (2017) — 379 citations
• Data Augmentation for Time Series Classification using Convolutional Neural Networks (2016) — 451 citations
• Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network (2015) — 499 citations