Attila Matyas Nagy

Building and Construction · 2018

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

Subfields

Whom Attila Matyas Nagy trusts overall

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

  1. Billy M. Williams

Papers from Attila Matyas Nagy's perspective

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

  1. Long Short-Term Memory
  2. Deep Learning
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Comparison of parametric and nonparametric models for traffic flow forecasting
  5. Traffic Flow Prediction With Big Data: A Deep Learning Approach (IEEE transactions on intelligent transportation systems (Print))
  6. Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach
  7. ImageNet classification with deep convolutional neural networks
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. An object-oriented neural network approach to short-term traffic forecasting (European Journal of Operational Research)

Their papers