T. N. Lal

IEEE Transactions on Biomedical Engineering · 2003–2004

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 61 researchers here, as inferred from the citation graph.

Whom T. N. Lal trusts overall

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

1. Yuhai Wu
2. Alex Smola
3. Risi Kondor
4. Vladimir Naumovich Vapni
5. Bernhard Schölkopf
6. Charles M. Bishop
7. Andrew Y. Ng
8. Mikhail Belkin

Who trusts T. N. Lal overall

1. Yoshua Bengio
2. Niels Birbaumer
3. Dacheng Tao
4. Zhi-Hua Zhou
5. Matthias Hein
6. Eliav Buchnik
7. Charu C. Aggarwal
8. Jun Yu
9. Dengyong Zhou
10. Mikhail Belkin

Papers from T. N. Lal's perspective

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

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

Their papers

• Support vector channel selection in BCI (2004) — 548 citations
• Learning with Local and Global Consistency (2003) — 4,672 citations