Rodrigo Acuna-Agost
Rodrigo Acuna-Agost
Head of Research, Amadeus
Verified email at - Homepage
Cited by
Cited by
Airline itinerary choice modeling using machine learning
A Lhéritier, M Bocamazo, T Delahaye, R Acuna-Agost
Journal of choice modelling 31, 198-209, 2019
A MIP‐based local search method for the railway rescheduling problem
R Acuna‐Agost, P Michelon, D Feillet, S Gueye
Networks 57 (1), 69-86, 2011
SAPI: Statistical Analysis of Propagation of Incidents. A new approach for rescheduling trains after disruptions
R Acuna-Agost, P Michelon, D Feillet, S Gueye
European Journal of Operational Research 215 (1), 227-243, 2011
Exact and heuristic approaches to the airport stand allocation problem
J Guépet, R Acuna-Agost, O Briant, JP Gayon
European Journal of Operational Research 246 (2), 597-608, 2015
Deep choice model using pointer networks for airline itinerary prediction
A Mottini, R Acuna-Agost
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
Airline passenger name record generation using generative adversarial networks
A Mottini, A Lheritier, R Acuna-Agost
arXiv preprint arXiv:1807.06657, 2018
Integration of aircraft ground movements and runway operations
J Guépet, O Briant, JP Gayon, R Acuna-Agost
Transportation research part E: logistics and transportation review 104, 131-149, 2017
The aircraft ground routing problem: Analysis of industry punctuality indicators in a sustainable perspective
J Guépet, O Briant, JP Gayon, R Acuna-Agost
European Journal of Operational Research 248 (3), 827-839, 2016
Reinforcement learning applied to airline revenue management
N Bondoux, AQ Nguyen, T Fiig, R Acuna-Agost
Journal of Revenue and Pricing Management, 1-17, 2020
Data-driven models for itinerary preferences of air travelers and application for dynamic pricing optimization
T Delahaye, R Acuna-Agost, N Bondoux, AQ Nguyen, M Boudia
Journal of Revenue and Pricing Management 16 (6), 621-639, 2017
Mathematical modeling and methods for rescheduling trains under disrupted operations
R Acuna-Agost
University of Avignon, 2010
Relative label encoding for the prediction of airline passenger nationality
A Mottini, R Acuna-Agost
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016
Price elasticity estimation for deep learning-based choice models: an application to air itinerary choices
R Acuna-Agost, E Thomas, A Lhéritier
Journal of Revenue and Pricing Management 20 (3), 213-226, 2021
Understanding Customer Choices to Improve Recommendations in the Air Travel Industry.
A Mottini, A Lhéritier, R Acuna-Agost, MA Zuluaga
RecTour@ RecSys, 28-32, 2018
Rescheduling flights, aircraft, and passengers simultaneously under disrupted operations-a mathematical programming approach based on statistical analysis
R Acuña-Agost, D Feillet, P Michelon, S Gueye
AGIFORS Airline Operations 2009, -, 2009
Novel approach to deal with demand volatility on fleet assignment models
M Boudia, T Delahaye, S Gabteni, R Acuna-Agost
Journal of the Operational Research Society 69 (6), 895-904, 2018
Pré-traitements classiques ou par analyse distributionnelle: application aux méthodes de classification automatique déployées pour deft08
E Charton, N Camelin, R Acuna-Agost, P Gotab, R Lavalley, R Kessler, ...
Actes DEFT08-TALN 8, 44, 2008
Constraint Programming and Mixed Integer Linear Programming for Rescheduling Trains under Disrupted Operations: A Comparative Analysis of Models, Solution Methods, and Their …
R Acuna-Agost, P Michelon, D Feillet, S Gueye
Integration of AI and OR Techniques in Constraint Programming for …, 2009
No evidence of attraction effect among recommended options: A large-scale field experiment on an online flight aggregator
I Rafai, Z Babutsidze, T Delahaye, N Hanaki, R Acuna-Agost
Decision Support Systems 153, 113672, 2022
Benchmarking anomaly detection algorithms in an industrial context: dealing with scarce labels and multiple positive types
D Renaudie, MA Zuluaga, R Acuna-Agost
2018 IEEE International Conference on Big Data (Big Data), 1228-1237, 2018
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