David Rı́os Insua

National Research Council — LK

Decision Sciences · Social Sciences

35h-index5.2kcitations299works1.12yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Risk and Safety Analysis(37), Adversarial Robustness in Machine Learning(35), Information and Cyber Security(26), Bayesian Modeling and Causal Inference(26), Infrastructure Resilience and Vulnerability Analysis(24)

Publications299 total

Correction to “AI-Driven <i>De Novo</i> Design and Development of Nontoxic DYRK1A Inhibitors”
Journal of Medicinal Chemistry·2025Open Access
L’IA fait peser des risques sur la sécurité nationale, la démocratie et notre système de santé… Quelques pistes pour les réduire
2025
Efficiently solving open capacitated location-routing problems through a discrete fireworks algorithm
Frontiers in Industrial Engineering·2025Open Access
Multi-objective capacitated location-routing problems with stochastic demands and time windows with applications to household solid waste management
Fuzzy Optimization and Decision Making·2025
A unified Bayesian framework for adversarial robustness
arXiv (Cornell University)·2025Open Access
MolOrgGPT: De novo Generation via Large Language Models and Reinforcement Learning
2025
AI poses risks to national security, elections and healthcare. Here’s how to reduce them
2025
A framework for expected capability sets
Annals of Operations Research·2025Open Access
A decision support model for colorectal cancer screening
Computers in Biology and Medicine·2025· 2 citedOpen Access
Predictive posteriors under hidden confounding
arXiv (Cornell University)·2025Open Access
Incentivising Personalised Colorectal Cancer Screening: an Adversarial Risk Analysis Approach
2025Open Access
Evasion Attacks Against Bayesian Predictive Models
arXiv (Cornell University)·2025Open Access
Computational adversarial risk analysis for general security games
arXiv (Cornell University)·2025Open Access
Supporting product launching decisions with adversarial risk analysis
arXiv (Cornell University)·2025Open Access
A cybersecurity risk analysis framework for systems with artificial intelligence components
International Transactions in Operational Research·2025· 3 citedOpen Access
AI-Driven <i>De Novo</i> Design and Development of Nontoxic DYRK1A Inhibitors
Journal of Medicinal Chemistry·2025· 6 citedOpen Access
AI-driven de-novo design and development of non-toxic DYRK1A inhibitors
2025Open Access
An adversarial risk analysis framework for software release decision support
Risk Analysis·2025· 1 cited
Domain adaptation under hidden confounding
Electronic Journal of Statistics·2025Open Access
AI-driven de-novo design and development of non-toxic DYRK1A inhibitors for Alzheimer’s disease
2024Open Access
page 1 of 15Next →

Frequent Co-authors

Fabrizio Ruggeri(13), Jesús Ríos(7), Simon French(4), David Banks(4), James O. Berger(3), José M. Bernardo(3), J. Martı́n(3), Michael P. Wiper(3), Peter Müller(3), Víctor Gallego(3), Roi Naveiro(3), César Álfaro(3), Javier Gómez(3), Alejandro Santos‐Lozano(3), José M. Ordovás(3), Alejandro Lucía(3), Paul Gustafson(2), Joseph B. Kadane(2), Aitor Couce‐Vieira(2), Pablo Hernandez-Coronado(2)