A multiobjective approach to the portfolio optimization problem. - Rubén Armañanzas; José Antonio Lozano 001 (Congress on Evolutionary Computation, 2005)

Machine learning in bioinformatics. - Pedro Larrañaga; Borja Calvo; Roberto Santana 001; Concha Bielza; Josu Galdiano; Iñaki Inza; José Antonio Lozano 001; Rubén Armañanzas; Guzmán Santafé; Aritz Pérez Martínez; Victor Robles (Briefings Bioinform., 2006)

A review of estimation of distribution algorithms in bioinformatics. - Rubén Armañanzas; Iñaki Inza; Roberto Santana 001; Yvan Saeys; Jose Luis Flores 001; José Antonio Lozano 001; Yves Van de Peer; Rosa Blanco; Víctor Robles; Concha Bielza; Pedro Larrañaga (BioData Min., 2008)

Detecting reliable gene interactions by a hierarchy of Bayesian network classifiers. - Rubén Armañanzas; Iñaki Inza; Pedro Larrañaga (Comput. Methods Programs Biomed., 2008)

Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures. - Rubén Armañanzas; Borja Calvo; Iñaki Inza; Marcos López-Hoyos; Víctor Martínez-Taboada; Eduardo Ucar; Irantzu Bernales; Asier Fullaondo; Pedro Larrañaga; Ana M. Zubiaga (IEEE Trans. Inf. Technol. Biomed., 2009)

Peakbin Selection in Mass Spectrometry Data Using a Consensus Approach with Estimation of Distribution Algorithms. - Rubén Armañanzas; Yvan Saeys; Iñaki Inza; Miguel García-Torres; Concha Bielza; Yves Van de Peer; Pedro Larrañaga (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Ensemble transcript interaction networks: A case study on Alzheimer's disease. - Rubén Armañanzas; Pedro Larrañaga; Concha Bielza (Comput. Methods Programs Biomed., 2012)

Unveiling relevant non-motor Parkinson's disease severity symptoms using a machine learning approach. - Rubén Armañanzas; Concha Bielza; Kallol Ray Chaudhuri; Pablo Martínez-Martín; Pedro Larrañaga (Artif. Intell. Medicine, 2013)

Network measures for information extraction in evolutionary algorithms. - Roberto Santana 001; Rubén Armañanzas; Concha Bielza; Pedro Larrañaga (Int. J. Comput. Intell. Syst., 2013)

Comparison of metaheuristic strategies for peakbin selection in proteomic mass spectrometry data. - Miguel García-Torres; Rubén Armañanzas; Concha Bielza; Pedro Larrañaga (Inf. Sci., 2013)

Doubling up on the Fly: NeuroMorpho.Org Meets Big Data. - Sumit Nanda; M. Mowafak Allaham; Maurizio Bergamino; Sridevi Polavaram; Rubén Armañanzas; Giorgio A. Ascoli; Ruchi Parekh (Neuroinformatics, 2015)

Genetic algorithms and Gaussian Bayesian networks to uncover the predictive core set of bibliometric indices. - Alfonso Ibáñez; Rubén Armañanzas; Concha Bielza; Pedro Larrañaga (J. Assoc. Inf. Sci. Technol., 2016)

Ensemble graphs to reveal post-transcriptional regulatory networks in Alzheimer's disease. - Rubén Armañanzas (BIBM, 2017)

Voxel-Based Diagnosis of Alzheimer's Disease Using Classifier Ensembles. - Rubén Armañanzas; Martina Iglesias; Dinora A. Morales; Lidia Alonso-Nanclares (IEEE J. Biomed. Health Informatics, 2017)

PaperBot: open-source web-based search and metadata organization of scientific literature. - Patricia Maraver; Rubén Armañanzas; Todd A. Gillette; Giorgio A. Ascoli (BMC Bioinform., 2019)

Derivation of a Cost-Sensitive COVID-19 Mortality Risk Indicator Using a Multistart Framework. - Rubén Armañanzas; Adrián Díaz; Mario Martínez-García; Santiago Mazuelas (BIBM, 2021)

Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization. - Mario Martínez-García; Susana García-Gutierrez; Rubén Armañanzas; Adrián Díaz; Iñaki Inza; José Antonio Lozano 001 (AIME, 2022)

Network Community Detection in Connectomics Data using Graph Theory. - Leandro González-Montesino; Darian H. Grass-Boada; Rubén Armañanzas (BIBM, 2023)

Electronic Near Point of Convergence: A Tool to Aid the Assessment of Concussion. - Bo Liang; Leslie S. Prichep; Saloni Kanakia; Jeffrey J. Bazarian; Tracey Covassin; R. J. Elbin; Gillian A. Hotz; Jeb F. Struder; Rubén Armañanzas (BIBM, 2023)

An Uncertainty-Aware Sequential Approach for Predicting Response to Neoadjuvant Therapy in Breast Cancer. - Alberto García-Galindo; Marcos Lopez-De-Castro; Rubén Armañanzas (COPA, 2023)

Multi-class Classification with Reject Option and Performance Guarantees using Conformal Prediction. - Alberto García-Galindo; Marcos Lopez-De-Castro; Rubén Armañanzas (COPA, 2024)

Conformal Stability Measure of Feature Selection Algorithms. - Marcos Lopez-De-Castro; Alberto García-Galindo; Rubén Armañanzas (COPA, 2024)

Conformal Recursive Feature Elimination. - Marcos Lopez-De-Castro; Alberto García-Galindo; Rubén Armañanzas (CoRR, 2024)

A Novel Algorithm for Community Detection in Networks using Rough Sets and Consensus Clustering. - Darian H. Grass-Boada; Leandro González-Montesino; Rubén Armañanzas (CoRR, 2024)

A Bayesian Framework for Multi-layered Gene Regulation: Integrating Expression Data with Curated Knowledge. - Aitor Oviedo-Madrid; José González-Gomariz; Rubén Armañanzas (AIiH (2), 2025)

Community detection in networks: A rough sets and consensus clustering approach. - Darian H. Grass-Boada; Leandro González-Montesino; Rubén Armañanzas (Appl. Soft Comput., 2025)

Fair prediction sets through multi-objective hyperparameter optimization. - Alberto García-Galindo; Marcos Lopez-De-Castro; Rubén Armañanzas (Mach. Learn., 2025)