Akash Kumar Bhoi

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Akash Kumar Bhoi trusts

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

  1. Balázs Harangi (in Artificial Intelligence)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from Akash Kumar Bhoi's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  3. Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks
  4. An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification
  5. A Review of Convolutional Neural Network Applied to Fruit Image Processing (Applied Sciences)
  6. Skin lesion detection based on an ensemble of deep convolutional neural network (Journal of Biomedical Informatics)
  7. Deep convolutional neural network based medical image classification for disease diagnosis (Journal of Big Data)
  8. Thin MobileNet: An Enhanced MobileNet Architecture (Ubiquitous Computing, Electronics & Mobile Communication Conference)
  9. A review on the long short-term memory model (Artificial Intelligence Review)
  10. Descriptor : The HAM 10000 dataset , a large collection of multi-source dermatoscopic images of common pigmented skin lesions

Their papers