Mathematical programming and the sensitivity of multi-criteria decisions. - Les G. Proll; David Ríos Insua; Abdellah Salhi (Ann. Oper. Res., 1993)

Markov chain Monte Carlo methods for decision analysis. - Concha Bielza; Peter Müller 003; David Ríos Insua (AISTATS, 1997)

Wavelet based Random Densities. - David Ríos Insua; Brani Vidakovic (AISTATS, 1997)

Issues in Bayesian Analysis of Neural Network Models. - Peter Müller 003; David Ríos Insua (Neural Comput., 1998)

Bayesian analysis of M/Er/1 and M/Hk/1 queues. - David Ríos Insua; Michael P. Wiper; Fabrizio Ruggeri 001 (Queueing Syst. Theory Appl., 1998)

Statistical Decision Theory. - Simon French 001; David Ríos Insua (Wiley, 2000)

MOIRA: A decision support system for decision making on aquatic ecosystems contaminated by radioactive fallout. - David Ríos Insua; Eduardo Gallego; Alfonso Mateos; Sixto Ríos-Insua (Ann. Oper. Res., 2000)

Expériences with Stochastic Algorithms fir a class of Constrained Global Optimisation Problems. - Abdellah Salhi; Les G. Proll; David Ríos Insua; J. I. Martin (RAIRO Oper. Res., 2000)

Approximate Solutions of Complex Influence Diagrams through MCMC Methods. - Miguel A. Virto; Jacinto Martín; David Ríos Insua; Arminda Moreno-Díaz (Probabilistic Graphical Models, 2002)

Approximate Solutions to Semi Markov Decision Processes through Markov Chain Montecarlo Methods. - Arminda Moreno-Díaz; Miguel A. Virto; Jacinto Martín; David Ríos Insua (EUROCAST, 2003)

Bayesian Prediction of Down Syndrome Based on Maternal Age and Four Serum Markers. - Raquel Montes Diez; Juan M. Marin; David Ríos Insua (ISBMDA, 2004)

Participatory Budget Formation Through the Web. - Jesus Rios; David Ríos Insua; Eugenio Fernández; J. A. Rivero (TCGOV, 2005)

Quixote: Supporting Group Decisions Through the Web. - J. A. Rubio; David Ríos Insua; Jesus Rios; Eugenio Fernández (TCGOV, 2005)

Bayesian Analysis of Nonlinear Autoregression Models Based on Neural Networks. - A. Menchero; Raquel Montes Diez; David Ríos Insua; Peter Müller 003 (Neural Comput., 2005)

Reliability Forecasting in Complex Hardware/Software Systems. - Javier Cano-Montero; David Ríos Insua (ARES, 2006)

e-Participation and Decision Analysis. - Simon French 001; David Ríos Insua; Fabrizio Ruggeri 001 (Decis. Anal., 2007)

Towards decision support for participatory democracy. - David Ríos Insua; Gregory E. Kersten; Jesus Rios; Carlos Grima (Inf. Syst. E Bus. Manag., 2008)

A framework for participatory budget elaboration support. - Jesus Rios; David Ríos Insua (J. Oper. Res. Soc., 2008)

Adversarial Risk Analysis: Applications to Basic Counterterrorism Models. - Jesus Rios; David Ríos Insua (ADT, 2009)

Supporting Negotiations over Influence Diagrams. - Jesus Rios; David Ríos Insua (Decis. Anal., 2009)

A framework for participatory decision support using Pareto frontier visualization, goal identification and arbitration. - Roman V. Efremov; David Ríos Insua; Alexander V. Lotov (Eur. J. Oper. Res., 2009)

Bayesian Reliability, Availability, and Maintainability Analysis for Hardware Systems Described Through Continuous Time Markov Chains. - Javier Cano-Montero; Javier M. Moguerza; David Ríos Insua (Technometrics, 2010)

AIsoy 1: A Robot that Perceives, Feels and Makes Decisions. - Daniel García; C. Pallardó; David Ríos Insua; R. Moreno; Andrés Redchuk (ERCIM News, 2011)

An adversarial risk analysis model for a decision agent facing multiple users. - Pablo Gómez Esteban; Javier G. Rázuri; David Ríos Insua (CIP, 2012)

Adversarial Risk Analysis: The Somali Pirates Case. - Juan Carlos Sevillano; David Ríos Insua; Jesus Rios (Decis. Anal., 2012)

Special issue on intelligent technologies for planning and decision making under uncertainty. - Luís Cândido Dias; Carlos Henggeler Antunes; David Ríos Insua (Intell. Decis. Technol., 2012)

Dealing with uncertainty in Decision Support Systems: Recent trends (2000-2011). - Luis C. Dias; Carlos Henggeler Antunes; David Ríos Insua (Intell. Decis. Technol., 2012)

Cost-efficient equitable water distribution in Algeria: a bicriteria fair division problem with network constraints. - Angel Udías; David Ríos Insua; Javier Cano-Montero; Hocine Fellag (Int. Trans. Oper. Res., 2012)

Designing Autonomous Social Agents under the Adversarial Risk Analysis Framework. - Pablo Gómez Esteban; David Ríos Insua (PAAMS (Workshops), 2013)

On deciding how to decide: Designing participatory budget processes. - Javier Gomez 003; David Ríos Insua; José M. Lavín; César Alfaro (Eur. J. Oper. Res., 2013)

Multiobjective Decision Support for the Kwanza River Management. - Kiombo J. Marie; Javier Cano-Montero; David Ríos Insua; Óscar Arroyo (Int. J. Inf. Technol. Decis. Mak., 2013)

An Adversarial Risk Analysis Model for an Autonomous Imperfect Decision Agent. - Javier G. Rázuri; Pablo Gómez Esteban; David Ríos Insua (Decision Making and Imperfection, 2013)

Supporting an Autonomous Social Agent within a Competitive Environment. - Pablo Gómez Esteban; David Ríos Insua (Cybern. Syst., 2014)

A Graphical Adversarial Risk Analysis Model for Oil and Gas Drilling Cybersecurity. - Aitor Couce Vieira; Siv Hilde Houmb; David Ríos Insua (GraMSec, 2014)

Uncertainty and robustness in planning and decision-making. - Carlos Henggeler Antunes; David Ríos Insua; Luís Cândido Dias (Int. J. Syst. Sci., 2014)

Designing Societies of Robots. - Pablo Gómez Esteban; David Ríos Insua (Decision Making, 2015)

Security economics: an adversarial risk analysis approach to airport protection. - Javier Cano-Montero; David Ríos Insua; Alessandra Tedeschi; Ugur Turhan (Ann. Oper. Res., 2016)

Policy analysis and policy analytics. - Katherine A. Daniell; Alec Morton; David Ríos Insua (Ann. Oper. Res., 2016)

A participatory budget model under uncertainty. - Javier Gomez 003; David Ríos Insua; César Alfaro (Eur. J. Oper. Res., 2016)

Multithreat multisite protection: A security case study. - David Ríos Insua; Javier Cano-Montero; Michael Pellot; Ricardo Ortega (Eur. J. Oper. Res., 2016)

CSIRA: A Method for Analysing the Risk of Cybersecurity Incidents. - Aitor Couce Vieira; Siv Hilde Houmb; David Ríos Insua (GraMSec@CSF, 2017)

Stochastic Gradient MCMC with Repulsive Forces. - Víctor Gallego; David Ríos Insua (CoRR, 2018)

Adversarial issues in reliability. - David Ríos Insua; Fabrizio Ruggeri 001; Refik Soyer; Daniel G. Rasines (Eur. J. Oper. Res., 2018)

A framework for risk management decisions in aviation safety at state level. - David Ríos Insua; César Alfaro; Javier Gomez 003; Pablo Hernández-Coronado; Francisco Bernal (Reliab. Eng. Syst. Saf., 2018)

Critical networked infrastructure protection from adversaries. - Eduardo Quijano; David Ríos Insua; Javier Cano-Montero (Reliab. Eng. Syst. Saf., 2018)

Reinforcement Learning under Threats. - Víctor Gallego; Roi Naveiro; David Ríos Insua (AAAI, 2019)

Gradient Methods for Solving Stackelberg Games. - Roi Naveiro; David Ríos Insua (ADT, 2019)

An Adversarial Risk Analysis Framework for Cybersecurity. - David Ríos Insua; Aitor Couce Vieira; José Antonio Rubio; Wolter Pieters; Katsiaryna Labunets; Daniel Garcia Rasines (CoRR, 2019)

Opponent Aware Reinforcement Learning. - Víctor Gallego; Roi Naveiro; David Ríos Insua; David Gómez-Ullate (CoRR, 2019)

Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs. - Víctor Gallego; David Ríos Insua (CoRR, 2019)

Augmented Probability Simulation Methods for Non-cooperative Games. - Tahir Ekin; Roi Naveiro; Alberto Torres-Barrán; David Ríos Insua (CoRR, 2019)

Protecting from Malware Obfuscation Attacks through Adversarial Risk Analysis. - Alberto Redondo; David Ríos Insua (CoRR, 2019)

Insider threat modeling: An adversarial risk analysis approach. - Chaitanya Joshi; David Ríos Insua; Jesus Rios (CoRR, 2019)

Assessing Supply Chain Cyber Risks. - Alberto Redondo; Alberto Torres-Barrán; David Ríos Insua; Jordi Domingo (CoRR, 2019)

Adversarial risk analysis for bi-agent influence diagrams: An algorithmic approach. - Jorge González-Ortega; David Ríos Insua; Javier Cano 001 (Eur. J. Oper. Res., 2019)

Adversarial classification: An adversarial risk analysis approach. - Roi Naveiro; Alberto Redondo; David Ríos Insua; Fabrizio Ruggeri 001 (Int. J. Approx. Reason., 2019)

A Model for an Affective Non-Expensive Utility-Based Decision Agent. - Pablo Gómez Esteban; David Ríos Insua (IEEE Trans. Affect. Comput., 2019)

Bayesian Network for Managing Runway Overruns in Aviation Safety. - Eduardo S. Ayra; David Ríos Insua; Javier Cano 001 (J. Aerosp. Inf. Syst., 2019)

Competition and cooperation in a community of autonomous agents. - Pablo Gómez Esteban; Si Liu; David Ríos Insua; Jorge González-Ortega (Auton. Robots, 2020)

Adversarial Machine Learning: Perspectives from Adversarial Risk Analysis. - David Ríos Insua; Roi Naveiro; Víctor Gallego; Jason Poulos (CoRR, 2020)

Protecting Classifiers From Attacks. A Bayesian Approach. - Víctor Gallego; Roi Naveiro; Alberto Redondo; David Ríos Insua; Fabrizio Ruggeri 001 (CoRR, 2020)

Adversarial Risk Analysis (Overview). - David Banks; Víctor Gallego; Roi Naveiro; David Ríos Insua (CoRR, 2020)

Assessing and Forecasting Cybersecurity Impacts. - Aitor Couce Vieira; David Ríos Insua; Alex Kosgodagan (Decis. Anal., 2020)

Advances in Bayesian decision making in reliability. - David Ríos Insua; Fabrizio Ruggeri 001; Refik Soyer; Simon P. Wilson 001 (Eur. J. Oper. Res., 2020)

Adversarial risk analysis under partial information. - Juho Roponen; David Ríos Insua; Ahti Salo (Eur. J. Oper. Res., 2020)

Safer Skies over Spain. - Verónica Elvira; Francisco Bernal; Pablo Hernández-Coronado; Esperanza Herraiz; César Alfaro; Javier Gomez 003; David Ríos Insua (INFORMS J. Appl. Anal., 2020)

Towards Acceptance of Automated Driving Systems. - Samantha L. Jamson; Konstantinos Risvas; Roi Naveiro; David Ríos Insua; Konstantinos Moustakas; Mikolaj Kruszewski; Aleksandra Rodak; Alessandro Barisone (CHIRA, 2021)

Data sharing games. - Víctor Gallego; Roi Naveiro; David Ríos Insua; Wolfram Rozas (CoRR, 2021)

An Adversarial Risk Analysis Framework for Batch Acceptance Problems. - Jorge González-Ortega; Refik Soyer; David Ríos Insua; Fabrizio Ruggeri 001 (Decis. Anal., 2021)

Variationally Inferred Sampling through a Refined Bound. - Víctor Gallego; David Ríos Insua (Entropy, 2021)

Insider Threat Modeling: An Adversarial Risk Analysis Approach. - Chaitanya Joshi; Jesús M. Ríos Aliaga; David Ríos Insua (IEEE Trans. Inf. Forensics Secur., 2021)

Operations Research Opportunities in Automated Driving Systems. - David Ríos Insua (ICORES, 2022)

Modeling Ethical and Operational Preferences in Automated Driving Systems. - William N. Caballero; Roi Naveiro; David Ríos Insua (Decis. Anal., 2022)

Learning the Rules of the Game: An Interpretable AI for Learning How to Play. - Jared Lee Aurentz; Adrián Martínez Navarro; David Ríos Insua (IEEE Trans. Games, 2022)

Managing Driving Modes in Automated Driving Systems. - David Ríos Insua; William N. Caballero; Roi Naveiro (Transp. Sci., 2022)

Augmented probability simulation methods for sequential games. - Tahir Ekin; Roi Naveiro; David Ríos Insua; Alberto Torres-Barrán (Eur. J. Oper. Res., 2023)

A Bayesian network model for predicting cardiovascular risk. - José M. Ordovás; David Ríos Insua; Alejandro Santos-Lozano; Alejandro Lucia; A. Torres; Alex Kosgodagan; José Manuel Camacho (Comput. Methods Programs Biomed., 2023)

Decision support issues in automated driving systems. - William N. Caballero; David Ríos Insua; David Banks (Int. Trans. Oper. Res., 2023)

Algorithmic Decision Analysis for Multi-stage Games with Incomplete Information. - José Manuel Camacho; Roi Naveiro; David Ríos Insua (ADT, 2024)

Adversarial Risk Analysis for Automated Lane-Changing in Heterogeneous Traffic. - Roi Naveiro; David Ríos Insua; William N. Caballero (ADT, 2024)

Colorectal cancer risk mapping through Bayesian networks. - Daniel Corrales; Alejandro Santos-Lozano; S. López-Ortiz; Alejandro Lucia; David Ríos Insua (Comput. Methods Programs Biomed., 2024)

A Cybersecurity Risk Analysis Framework for Systems with Artificial Intelligence Components. - José Manuel Camacho; Aitor Couce Vieira; David Arroyo; David Ríos Insua (CoRR, 2024)

Incentivising Personalised Colorectal Cancer Screening: an Adversarial Risk Analysis Approach. - Daniel Corrales; David Ríos Insua (CBMS, 2025)

Evasion Attacks Against Bayesian Predictive Models. - Pablo G. Arce; Roi Naveiro; David Ríos Insua (UAI, 2025)

A decision support model for colorectal cancer screening. - Daniel Corrales; David Ríos Insua; Marino J. González (Comput. Biol. Medicine, 2025)

Fifty years of reliability in operations research. - Terje Aven; David Ríos Insua; Refik Soyer; Xiaoyan Zhu; Enrico Zio (Eur. J. Oper. Res., 2025)

Computational adversarial risk analysis for general security games. - José Manuel Camacho; Roi Naveiro; David Ríos Insua (CoRR, 2025)

Personalized pricing decisions through adversarial risk analysis. - Daniel Garcia Rasines; Roi Naveiro; David Ríos Insua; Simón Rodríguez Santana (Int. Trans. Oper. Res., 2025)

A framework for expected capability sets. - Nicolas Fayard; David Ríos Insua; Alexis Tsoukiàs (Ann. Oper. Res., 2025)

A unified Bayesian framework for adversarial robustness. - Pablo G. Arce; Roi Naveiro; David Ríos Insua (CoRR, 2025)