Jeevith Hegde

Safety Science · 2020

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 Jeevith Hegde trusts overall

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

  1. Wes McKinney
  2. J. Tu
  3. Yulan Liang

Papers from Jeevith Hegde's perspective

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

  1. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes.
  2. Predicting motor vehicle crashes using Support Vector Machine models. (Accident Analysis and Prevention)
  3. Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS
  4. Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines (IEEE transactions on intelligent transportation systems (Print))
  5. Data Structures for Statistical Computing in Python
  6. Risk Assessment: Theory, Methods, and Applications
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet classification with deep convolutional neural networks
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers