Mahesh V. Joshi

Proceedings 2001 IEEE International Conference on Data Mining · 2001

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 20 researchers here, as inferred from the citation graph.

Whom Mahesh V. Joshi trusts overall

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

  1. William W. Cohen
  2. Kai Ming Ting

Who trusts Mahesh V. Joshi overall

  1. Yanmin Sun
  2. Nitesh V. Chawla
  3. Andrea Dal Pozzolo
  4. S. Kotsiantis
  5. Taghi M. Khoshgoftaar
  6. Hui Han
  7. Shawndra Hill
  8. Mohamed S. Kamel
  9. Victoria López
  10. Charu C. Aggarwal

Papers from Mahesh V. Joshi's perspective

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

  1. Fast Effective Rule Induction
  2. A Comparative Study of Cost-Sensitive Boosting Algorithms (International Conference on Machine Learning)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers