Mark P. Tennant

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it

Whom Mark P. Tennant trusts overall

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

1. J. Ross Quinlan
2. Pedro M. Domingos
3. W. Street
4. João Gama
5. Mayur Datar
6. David J. Hand
7. Charu C. Aggarwal
8. Brian Babcock
9. Allan Stisen
10. Jiawei Han

Papers from Mark P. Tennant's perspective

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

1. Mining high-speed data streams
2. ImageNet classification with deep convolutional neural networks
3. C4.5: Programs for Machine Learning
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Models and issues in data stream systems (ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems)
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Maintaining Stream Statistics over Sliding Windows (SIAM journal on computing (Print))
10. Long Short-Term Memory

Their papers

• Scalable real-time classification of data streams with concept drift (2017) — 78 citations