Pascal Spaus

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Signal Processing — 5 citations into it

Whom Pascal Spaus trusts overall

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

1. Charu C. Aggarwal
2. Yixin Chen
3. Hans-Peter Kriegel
4. Jiawei Han
5. Feng Cao
6. Eirini Ntoutsi

Papers from Pascal Spaus's perspective

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

1. A Framework for Clustering Evolving Data Streams
2. A Framework for Projected Clustering of High Dimensional Data Streams
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. When Is ''Nearest Neighbor'' Meaningful?
6. Gradient-based learning applied to document recognition
7. Density-Based Clustering over an Evolving Data Stream with Noise
8. Density-based clustering for real-time stream data
9. Attention is All you Need (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Density-Based Projected Clustering of Data Streams (2012) — 55 citations