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Machine Learning in Airline Crew Pairing to Construct Initial Clusters
  for Dynamic Constraint Aggregation

Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation

30 September 2020
Yassine Yaakoubi
F. Soumis
Simon Lacoste-Julien
    AI4TS
ArXivPDFHTML

Papers citing "Machine Learning in Airline Crew Pairing to Construct Initial Clusters for Dynamic Constraint Aggregation"

5 / 5 papers shown
Title
Learning on Graphs for Mineral Asset Valuation Under Supply and Demand
  Uncertainty
Learning on Graphs for Mineral Asset Valuation Under Supply and Demand Uncertainty
Yassine Yaakoubi
Hager Radi
R. Dimitrakopoulos
25
0
0
07 Dec 2022
Learning to Schedule Heuristics for the Simultaneous Stochastic
  Optimization of Mining Complexes
Learning to Schedule Heuristics for the Simultaneous Stochastic Optimization of Mining Complexes
Yassine Yaakoubi
R. Dimitrakopoulos
33
10
0
25 Feb 2022
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Structured Convolutional Kernel Networks for Airline Crew Scheduling
Yassine Yaakoubi
F. Soumis
Simon Lacoste-Julien
AI4TS
23
10
0
25 May 2021
Flight-connection Prediction for Airline Crew Scheduling to Construct
  Initial Clusters for OR Optimizer
Flight-connection Prediction for Airline Crew Scheduling to Construct Initial Clusters for OR Optimizer
Yassine Yaakoubi
F. Soumis
Simon Lacoste-Julien
16
9
0
26 Sep 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1