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Miguel Martin
Miguel Martin
Artificial Intelligence department, Universidad Politécnica de Madrid,
Verified email at alumnos.upm.es
Title
Cited by
Cited by
Year
A numerical analysis of allocation strategies for the multi-armed bandit problem under delayed rewards conditions in digital campaign management
M Martín, A Jiménez-Martín, A Mateos
Neurocomputing 363, 99-113, 2019
102019
Possibilistic reward methods for the multi-armed bandit problem
M Martin, A Jiménez-Martín, A Mateos
Neurocomputing 310, 201-212, 2018
102018
The Possibilistic Reward Method and a Dynamic Extension for the Multi-armed Bandit Problem: A Numerical Study
M Martin, A Jiménez-Martín, A Mateos
International Conference on Operations Research and Enterprise Systems 2, 75-84, 2017
82017
A/b testing adaptations based on possibilistic reward methods for checkout processes: A numerical analysis
MC Martín Blanco, A Jiménez Martín, A Mateos Caballero
ETSI_Informatica, 2020
32020
A MCDA framework for the remediation of Zapadnoe uranium mill tailings: a fuzzy approach
A Jiménez Martín, MC Martín Blanco, D Perez-Sanchez, ...
Journal of Multiple-Valued Logic and Soft Computing 26 (6), 529-540, 2016
32016
The multi-armed bandit problem under delayed rewards conditions in digital campaign management
M Martín, A Jiménez-Martín, A Mateos
2019 6th International Conference on Control, Decision and Information …, 2019
12019
Allocation Strategies Based on Possibilistic Rewards for the Multi-armed Bandit Problem: A Numerical Study and Regret Analysis
M Martín, A Jiménez-Martín, A Mateos
Operations Research and Enterprise Systems: 6th International Conference …, 2018
12018
Métodos Multi-armed bandit en el ámbito del marketing digital y gestores de contenido
MC Martín Blanco
ETSI_Informatica, 2021
2021
A fuzzy MCDA framework for safety assessment in the remediation of a uranium mill tailings site in Ukraine
A Jiménez Martín, MC Martín Blanco, A Mateos Caballero, ...
CRC Press-Taylor and Francis Group, 2013
2013
Selección de alternativas para el tratamiento de depósitos de residuos radiactivos bajo una respectiva multiatributo borrosa.
MC Martín Blanco
Informatica, 2013
2013
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