Avishek Nag

IEEE Communications Surveys and Tutorials · 2018

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

Whom Avishek Nag trusts overall

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

1. Geoffrey E. Hinton
2. Hirotugu Akaike
3. Richard S. Sutton

Papers from Avishek Nag's perspective

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

1. Reinforcement Learning: An Introduction
2. Dropout: a simple way to prevent neural networks from overfitting
3. Pattern Recognition and Machine Learning
4. Machine learning - a probabilistic perspective
5. Unsupervised Learning
6. Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems (IEEE Wireless Communications Letters)
7. Compensation of Dispersion and Nonlinear Impairments Using Digital Backpropagation (Journal of Lightwave Technology)
8. Model‐based geostatistics
9. Optical WDM Networks
10. Data Mining - Concepts and Techniques (Künstliche Intell.)

Their papers

• An Overview on Application of Machine Learning Techniques in Optical Networks (2018) — 530 citations