Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Iterative machine and deep learning approach for aviation delay prediction
A deep learning approach to flight delay prediction
Predictive analytics with aviation big data
Aircraft Trajectory Prediction Made Easy with Predictive Analytics
Robust Airline Schedule Planning: Minimizing Propagated Delay in an Integrated Routing and Crewing Framework
Anomaly detection in aircraft data using Recurrent Neural Networks (RNN)
Travel speed prediction using machine learning techniques
Analysis of the potential for delay propagation in passenger airline networks
estimating flight departure delay distributions — a statistical approach with long - term trend and short - term pattern .
Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model
Support Vector Machine Technique for the Short Term Prediction of Travel Time
Planning for Robust Airline Operations: Optimizing Aircraft Routings and Flight Departure Times to Minimize Passenger Disruptions
Traffic Prediction using a Deep Learning Paradigm
Travel Speed Prediction with a Hierarchical Convolutional Neural Network and Long Short-Term Memory Model Framework
Airfare prices prediction using machine learning techniques
Traffic speed prediction using deep learning method
High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach
Cascading Delay Risk of Airline Workforce Deployments with Crew Pairing and Schedule Optimization.
Multivariate Aviation Time Series Modeling : VARs vs . LSTMs
Mathematical models in airline schedule planning: A survey
Reducing passenger boarding time in airplanes: A simulation based approach
estimating flight departure delay distributions — a statistical approach with long - term trend and short - term pattern .
A three-phase approach for operating theatre schedules
Investigating Bidirectional Recurrent Neural Network Language Models for Speech Recognition
Transmission intensity and impact of control policies on the foot and mouth epidemic in Great Britain
On the importance and implications of studying technology non-use