Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: A Review on Flight Delay Prediction
Characterization and prediction of air traffic delays
Planning for Robust Airline Operations: Optimizing Aircraft Routings and Flight Departure Times to Minimize Passenger Disruptions
Passenger-based predictive modeling of airline no-show rates
Mathematical models in airline schedule planning: A survey
Predictive analytics with aviation big data
When to Book : Predicting Flight Pricing
Evaluation of forecasting methods for intermittent parts demand in the field of aviation: a predictive model
Airfare prices prediction using machine learning techniques
Travel speed prediction using machine learning techniques
a regression model for predicting optimal purchase timing for airline tickets .
Prediction Intervals to Account for Uncertainties in Travel Time Prediction
Support Vector Machine Technique for the Short Term Prediction of Travel Time
Cascading Delay Risk of Airline Workforce Deployments with Crew Pairing and Schedule Optimization.
Differentiated pacing on multiple paths to improve one-way delay estimations
A Stochastic Model of Airline Operations
Forecasting Aviation Spare Parts Demand Using Croston Based Methods and Artificial Neural Networks
Reducing passenger boarding time in airplanes: A simulation based approach
Travel Speed Prediction with a Hierarchical Convolutional Neural Network and Long Short-Term Memory Model Framework
Anomaly detection in aircraft data using Recurrent Neural Networks (RNN)
Traveling time prediction in scheduled transportation with journey segments
An effective recursive partitioning approach for the packing of identical rectangles in a rectangle
A Stochastic Approximation Method
Learning Representations for Neural Network-Based Classification Using the Information Bottleneck Principle
The spliceosome is a therapeutic vulnerability in MYC-driven cancer
relationship between peer victimization , cyberbullying , and suicide in children and adolescents : a meta - analysis .