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ORCIDRoi Naveiro
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2020 – today
- 2024
[j5]William N. Caballero
, José Manuel Camacho, Tahir Ekin, Roi Naveiro:
Manipulating hidden-Markov-model inferences by corrupting batch data. Comput. Oper. Res. 162: 106478 (2024)- [c6]José Manuel Camacho, Roi Naveiro, David Ríos Insua:
Algorithmic Decision Analysis for Multi-stage Games with Incomplete Information. ADT 2024: 98-112 - [c5]Roi Naveiro, David Ríos Insua, William N. Caballero:
Adversarial Risk Analysis for Automated Lane-Changing in Heterogeneous Traffic. ADT 2024: 128-143 - [i12]Roi Naveiro, Becky Tang:
Simulation Based Bayesian Optimization. CoRR abs/2401.10811 (2024) - [i11]William N. Caballero, José Manuel Camacho, Tahir Ekin, Roi Naveiro:
Manipulating hidden-Markov-model inferences by corrupting batch data. CoRR abs/2402.13287 (2024) - [i10]Daniel Garcia Rasines, Roi Naveiro, David Ríos Insua, Simón Rodríguez Santana:
Personalized Pricing Decisions Through Adversarial Risk Analysis. CoRR abs/2409.00444 (2024) - 2023
- [j4]Tahir Ekin, Roi Naveiro, David Ríos Insua, Alberto Torres-Barrán:
Augmented probability simulation methods for sequential games. Eur. J. Oper. Res. 306(1): 418-430 (2023) - 2022
- [j3]William N. Caballero, Roi Naveiro, David Ríos Insua:
Modeling Ethical and Operational Preferences in Automated Driving Systems. Decis. Anal. 19(1): 21-43 (2022) - [j2]David Ríos Insua, William N. Caballero, Roi Naveiro:
Managing Driving Modes in Automated Driving Systems. Transp. Sci. 56(5): 1259-1278 (2022) - [c4]Tahir Ekin, Roi Naveiro, Jose Manuel Camacho Rodriguez:
Adversarial Forecasting Through Adversarial Risk Analysis Within a DDDAS Framework. DDDAS 2022: 293-301 - 2021
- [c3]Samantha L. Jamson, Konstantinos Risvas, Roi Naveiro, David Ríos Insua, Konstantinos Moustakas, Mikolaj Kruszewski, Aleksandra Rodak, Alessandro Barisone:
Towards Acceptance of Automated Driving Systems. CHIRA 2021: 232-239 - [i9]Víctor Gallego, Roi Naveiro, David Ríos Insua, Wolfram Rozas:
Data sharing games. CoRR abs/2101.10721 (2021) - [i8]Roi Naveiro:
Adversarial attacks against Bayesian forecasting dynamic models. CoRR abs/2110.10783 (2021) - 2020
- [i7]David Ríos Insua, Roi Naveiro, Víctor Gallego, Jason Poulos:
Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis. CoRR abs/2003.03546 (2020) - [i6]Víctor Gallego, Roi Naveiro, Alberto Redondo, David Ríos Insua, Fabrizio Ruggeri:
Protecting Classifiers From Attacks. A Bayesian Approach. CoRR abs/2004.08705 (2020) - [i5]David Banks, Víctor Gallego, Roi Naveiro, David Ríos Insua:
Adversarial Risk Analysis (Overview). CoRR abs/2007.02613 (2020)
2010 – 2019
- 2019
- [j1]Roi Naveiro, Alberto Redondo, David Ríos Insua, Fabrizio Ruggeri:
Adversarial classification: An adversarial risk analysis approach. Int. J. Approx. Reason. 113: 133-148 (2019) - [c2]Víctor Gallego, Roi Naveiro, David Ríos Insua:
Reinforcement Learning under Threats. AAAI 2019: 9939-9940 - [c1]Roi Naveiro, David Ríos Insua:
Gradient Methods for Solving Stackelberg Games. ADT 2019: 126-140 - [i4]Roi Naveiro, David Ríos Insua:
Gradient Methods for Solving Stackelberg Games. CoRR abs/1908.06901 (2019) - [i3]Víctor Gallego, Roi Naveiro, David Ríos Insua, David Gómez-Ullate:
Opponent Aware Reinforcement Learning. CoRR abs/1908.08773 (2019) - [i2]Tahir Ekin, Roi Naveiro, Alberto Torres-Barrán, David Ríos Insua:
Augmented Probability Simulation Methods for Non-cooperative Games. CoRR abs/1910.04574 (2019) - 2018
- [i1]Víctor Gallego, Roi Naveiro, David Ríos Insua:
Reinforcement Learning under Threats. CoRR abs/1809.01560 (2018)
Coauthor Index
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