M. Vélez

Building and Construction · with Lana · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Vélez trusts overall

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

  1. Eleni I. Vlahogianni

Papers from M. Vélez's perspective

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

  1. A multivariate state space approach for urban traffic flow modeling and prediction
  2. An object-oriented neural network approach to short-term traffic forecasting (European Journal of Operational Research)
  3. Urban traffic flow prediction using a fuzzy-neural approach
  4. Traffic Flow Prediction With Big Data: A Deep Learning Approach (IEEE transactions on intelligent transportation systems (Print))
  5. Short-term traffic forecasting: Where we are and where we’re going
  6. A gradient boosting method to improve travel time prediction
  7. Comparison of parametric and nonparametric models for traffic flow forecasting
  8. Incremental Learning of Concept Drift in Nonstationary Environments (IEEE Transactions on Neural Networks)
  9. Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
  10. An Overview of Concept Drift Applications

Their papers