Joseph Stephen Bassi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Information Systems — 15 citations into it

Whom Joseph Stephen Bassi trusts overall

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

1. Jerome H. Friedman
2. Vladimir Naumovich Vapni
3. Gordon V. Cormack
4. Xin-She Yang
5. Ion Androutsopoulos
6. Leo Breiman
7. Trevor J. Hastie
8. Mark Dredze
9. Ian Fette
10. Colin Whittaker

Papers from Joseph Stephen Bassi's perspective

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

1. The Nature of Statistical Learning Theory
2. Random Forests
3. Bagging Predictors
4. ImageNet classification with deep convolutional neural networks
5. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Gradient-based learning applied to document recognition

Their papers

• Machine learning for email spam filtering: review, approaches and open research problems (2019) — 475 citations