Comparing Ensemble Learning Algorithms to Improve Flight Prediction Accuracy and Reliability

This publication has 10 references indexed in Scilit:

• Flight delay causality: Machine learning technique in conjunction with random parameter statistical analysis
  International Journal of Transportation Science and Technology, 2022
• A Deep Learning Approach for Short-Term Airport Traffic Flow Prediction
  Aerospace, 2021
• A Multilayer Perceptron Neural Network with Selective-Data Training for Flight Arrival Delay Prediction
  Scientific Programming, 2021
• Prediction of Flight Time Deviation for Lithuanian Airports Using Supervised Machine Learning Model
  Computational Intelligence and Neuroscience, 2020
• Applying Machine Learning to Aviation Big Data for Flight Delay Prediction
  2020
• A Multi-Agent Approach for Reactionary Delay Prediction of Flights
  IEEE Access, 2019
• Flight delay prediction for commercial air transport: A deep learning approach
  Transportation Research Part E: Logistics and Transportation Review, 2019
• A machine learning approach for prediction of on-time performance of flights
  2017
• A statistical approach to predict flight delay using gradient boosted decision tree
  2017
• A New Multilevel Input Layer Artificial Neural Network for Predicting Flight Delays at JFK Airport
  Procedia Computer Science, 2016