Nivedita Mishra

Computer Networks and Communications · 2021

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nivedita Mishra trusts overall

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

  1. Iman Sharafaldin
  2. Huan Xu
  3. Manuel López Martín
  4. Siva S. Sivatha Sindhu
  5. Marko Ristin
  6. Sarah Monazam Erfani
  7. Kaiyuan Jiang
  8. Nour Moustafa
  9. Arash Habibi Lashkari
  10. Constantine Caramanis

Papers from Nivedita Mishra's perspective

Ordered by how strongly the researchers Nivedita Mishra 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. Long Short-Term Memory
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers