Adjusting Weights in Artificial Neural Networks using Evolutionary Algorithms. - Carlos Cotta; Enrique Alba 001; Ramón Sagarna; Pedro Larrañaga (Estimation of Distribution Algorithms, 2002)

Parallel Estimation of Distribution Algorithms. - José Antonio Lozano 001; Ramón Sagarna; Pedro Larrañaga (Estimation of Distribution Algorithms, 2002)

Solving the 0-1 Knapsack Problem with EDAs. - Ramón Sagarna; Pedro Larrañaga (Estimation of Distribution Algorithms, 2002)

On The Performance Of Estimation Of Distribution Algorithms Applied To Software Testing. - Ramón Sagarna; José Antonio Lozano 001 (Appl. Artif. Intell., 2005)

Scatter Search in software testing, comparison and collaboration with Estimation of Distribution Algorithms. - Ramón Sagarna; José Antonio Lozano 001 (Eur. J. Oper. Res., 2006)

Estimation of distribution algorithms for testing object oriented software. - Ramón Sagarna; Andrea Arcuri; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2007)

Handling Constraints for Search Based Software Test Data Generation. - Ramón Sagarna; Xin Yao 001 (ICST Workshops, 2008)

Search-Based Testing of Complex Simulink Models containing Stateflow Diagrams. - Ramón Sagarna; Xin Yao 001 (ICST Workshops, 2008)

Dynamic Search Space Transformations for Software Test Data Generation. - Ramón Sagarna; José Antonio Lozano 001 (Comput. Intell., 2008)

An evaluation of Differential Evolution in software test data generation. - Ricardo Landa Becerra; Ramón Sagarna; Xin Yao 001 (IEEE Congress on Evolutionary Computation, 2009)

Assisting in search heuristics selection through multidimensional supervised classification: A case study on software testing. - Ramón Sagarna; Alexander Mendiburu; Iñaki Inza; José Antonio Lozano 001 (Inf. Sci., 2014)

Concurrently searching branches in software tests generation through multitask evolution. - Ramón Sagarna; Yew-Soon Ong (SSCI, 2016)

Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression. - Pengfei Wei 001; Ramón Sagarna; Yiping Ke; Yew-Soon Ong; Chi-Keong Goh (ICML, 2017)

Knowledge Transfer Through Machine Learning in Aircraft Design. - Alan Tan Wei Min; Ramón Sagarna; Abhishek Gupta 001; Yew-Soon Ong; Chi Keong Goh (IEEE Comput. Intell. Mag., 2017)

Uncluttered Domain Sub-Similarity Modeling for Transfer Regression. - Pengfei Wei 001; Ramón Sagarna; Yiping Ke; Yew-Soon Ong (ICDM, 2018)

Robust Domain-Free Domain Generalization with Class-Aware Alignment. - Wenyu Zhang 003; Mohamed Ragab 002; Ramón Sagarna (ICASSP, 2021)

Practical Multisource Transfer Regression With Source-Target Similarity Captures. - Pengfei Wei 001; Ramón Sagarna; Yiping Ke; Yew-Soon Ong (IEEE Trans. Neural Networks Learn. Syst., 2021)

Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression. - Pengfei Wei 001; Ramón Sagarna; Yiping Ke; Yew-Soon Ong (IEEE Trans. Knowl. Data Eng., 2022)