Rajiv Punmiya

IEEE Transactions on Smart Grid · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Whom Rajiv Punmiya trusts overall

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

  1. Anna Veronika Dorogush
  2. Paria Jokar
  3. Guolin Ke
  4. Vasily Ershov
  5. Nasim Arianpoo
  6. Qi Meng
  7. Andrey Gulin
  8. Victor C. M. Leung

Who trusts Rajiv Punmiya overall

  1. Ahmed S. Musleh
  2. Guo Chen
  3. Zhao Yang Dong

Papers from Rajiv Punmiya's perspective

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

  1. LightGBM: A Highly Efficient Gradient Boosting Decision Tree
  2. Electricity Theft Detection in AMI Using Customers’ Consumption Patterns (IEEE Transactions on Smart Grid)
  3. CatBoost: gradient boosting with categorical features support
  4. Greedy function approximation: A gradient boosting machine.
  5. XGBoost: A Scalable Tree Boosting System
  6. Stochastic gradient boosting
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Scikit-learn: Machine Learning in Python
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Parallel boosted regression trees for web search ranking

Their papers