Roi Naveiro
Roi Naveiro
Other namesRoi Naveiro Flores
CUNEF Universidad
Verified email at - Homepage
Cited by
Cited by
Adversarial classification: An adversarial risk analysis approach
R Naveiro, A Redondo, DR Insua, F Ruggeri
International Journal of Approximate Reasoning 113, 133-148, 2019
AI in drug development: a multidisciplinary perspective
V Gallego, R Naveiro, C Roca, D Rios Insua, NE Campillo
Molecular Diversity 25, 1461-1479, 2021
Reinforcement learning under threats
V Gallego, R Naveiro, DR Insua
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9939-9940, 2019
Adversarial risk analysis: An overview
D Banks, V Gallego, R Naveiro, D Ríos Insua
Wiley Interdisciplinary Reviews: Computational Statistics 14 (1), e1530, 2022
Adversarial machine learning: Bayesian perspectives
D Rios Insua, R Naveiro, V Gallego, J Poulos
Journal of the American Statistical Association 118 (543), 2195-2206, 2023
Augmented probability simulation methods for sequential games
T Ekin, R Naveiro, DR Insua, A Torres-Barrán
European Journal of Operational Research 306 (1), 418-430, 2023
Opponent Aware Reinforcement Learning
V Gallego, R Naveiro, DR Insua, D Gómez-Ullate
arXiv preprint arXiv:1908.08773, 0
Gradient methods for solving stackelberg games
R Naveiro, DR Insua
Algorithmic Decision Theory: 6th International Conference, ADT 2019, Durham …, 2019
Managing driving modes in automated driving systems
D Ríos Insua, WN Caballero, R Naveiro
Transportation science 56 (5), 1259-1278, 2022
Modeling ethical and operational preferences in automated driving systems
WN Caballero, R Naveiro, D Rios Insua
Decision Analysis 19 (1), 21-43, 2022
Perspectives on adversarial classification
D Rios Insua, R Naveiro, V Gallego
Mathematics 8 (11), 1957, 2020
Large‐scale automated forecasting for network safety and security monitoring
R Naveiro, S Rodríguez, D Rios Insua
Applied Stochastic Models in Business and Industry 35 (3), 431-447, 2019
Adversarial attacks against Bayesian forecasting dynamic models
R Naveiro
22nd European Young Statisticians Meeting, 66-70, 2021
Protecting classifiers from attacks. a bayesian approach
V Gallego, R Naveiro, A Redondo, DR Insua, F Ruggeri
arXiv preprint arXiv:2004.08705, 2020
Análisis de riesgos
D Ríos Insua, R Naveiro, 2022
Design of new dispersants using machine learning and visual analytics
MJ Martínez, R Naveiro, AJ Soto, P Talavante, SH Kim Lee, ...
Polymers 15 (5), 1324, 2023
Artificial Intelligence in Tribology: Design of new dispersants using artificial intelligence tools
NE Campillo, P Talavante, I Ponzoni, AJ Soto, MJ Martínez, R Naveiro, ...
Proceedings of the 23rd International Colloquium Tribology: Industrial and …, 2022
Adversarial Risk Analysis for Heterogeneous Traffic Management
R Naveiro, WN Caballero, D Ríos Insua
Available at SSRN 4365987, 2022
Data sharing games
V Gallego, R Naveiro, DR Insua, W Rozas
arXiv preprint arXiv:2101.10721, 2021
Manipulating hidden-Markov-model inferences by corrupting batch data
WN Caballero, JM Camacho, T Ekin, R Naveiro
Computers & Operations Research 162, 106478, 2024
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