Bayesian optimization for parameter tuning in evolutionary algorithms. - Ibai Roman; Josu Ceberio; Alexander Mendiburu; José Antonio Lozano 001 (CEC, 2016)

Sentiment analysis with genetically evolved gaussian kernels. - Ibai Roman; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (GECCO, 2019)

Bayesian Optimization Approaches for Massively Multi-modal Problems. - Ibai Roman; Alexander Mendiburu; Roberto Santana 001; José Antonio Lozano 001 (LION, 2019)

Evolving Gaussian Process Kernels for Translation Editing Effort Estimation. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (LION, 2019)

An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (IEEE Access, 2019)

Evolving Gaussian Process kernels from elementary mathematical expressions. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (CoRR, 2019)

Evolution of Gaussian Process kernels for machine translation post-editing effort estimation. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Ann. Math. Artif. Intell., 2021)

Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Neurocomputing, 2021)

In-depth analysis of SVM kernel learning and its components. - Ibai Roman; Roberto Santana 001; Alexander Mendiburu; José Antonio Lozano 001 (Neural Comput. Appl., 2021)

Metamorphic Runtime Monitoring of Autonomous Driving Systems. - Jon Ayerdi; Asier Iriarte; Pablo Valle; Ibai Roman; Miren Illarramendi; Aitor Arrieta (CoRR, 2023)

MarMot: Metamorphic Runtime Monitoring of Autonomous Driving Systems. - Jon Ayerdi; Asier Iriarte; Pablo Valle; Ibai Roman; Miren Illarramendi; Aitor Arrieta (ACM Trans. Softw. Eng. Methodol., 2025)