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 partially supervised classification approach to dominant and recessive human disease gene prediction. - Borja Calvo; Núria López-Bigas; Simon J. Furney; Pedro Larrañaga; José Antonio Lozano 001 (Comput. Methods Programs Biomed., 2007)

Learning Bayesian classifiers from positive and unlabeled examples. - Borja Calvo; Pedro Larrañaga; José Antonio Lozano 001 (Pattern Recognit. Lett., 2007)

Feature subset selection from positive and unlabelled examples. - Borja Calvo; Pedro Larrañaga; José Antonio Lozano 001 (Pattern Recognit. Lett., 2009)

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)

Learning Probability Distributions over Permutations by Means of Fourier Coefficients. - Ekhine Irurozki; Borja Calvo; José Antonio Lozano 001 (Canadian AI, 2011)

A Preprocessing Procedure for Haplotype Inference by Pure Parsimony. - Ekhine Irurozki; Borja Calvo; José Antonio Lozano 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Wrapper positive Bayesian network classifiers. - Borja Calvo; Iñaki Inza; Pedro Larrañaga; José Antonio Lozano 001 (Knowl. Inf. Syst., 2012)

Beam-ACO for the Repetition-Free Longest Common Subsequence Problem. - Christian Blum 001; Maria J. Blesa; Borja Calvo (Artificial Evolution, 2013)

A new measure for gene expression biclustering based on non-parametric correlation. - Jose Luis Flores 001; Iñaki Inza; Pedro Larrañaga; Borja Calvo (Comput. Methods Programs Biomed., 2013)

Can Frogs Find Large Independent Sets in a Decentralized Way? Yes They Can! - Christian Blum 001; Maria J. Blesa; Borja Calvo (ANTS Conference, 2014)

Statistical Hypothesis Testing in Positive Unlabelled Data. - Konstantinos Sechidis; Borja Calvo; Gavin Brown 001 (ECML/PKDD (3), 2014)

Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition. - Josu Ceberio; Borja Calvo; Alexander Mendiburu; José Antonio Lozano 001 (CAEPIA, 2015)

A matheuristic for the minimum weight rooted arborescence problem. - Christian Blum 001; Borja Calvo (J. Heuristics, 2015)

FrogCOL and FrogMIS: new decentralized algorithms for finding large independent sets in graphs. - Christian Blum 001; Borja Calvo; Maria J. Blesa (Swarm Intell., 2015)

scmamp: Statistical Comparison of Multiple Algorithms in Multiple Problems. - Borja Calvo; Guzmán Santafé (R J., 2016)

I4TSPS: a Visual-Interactive Web System for Industrial Time-Series Pre-processing. - Kevin Villalobos; Jon Vadillo; Borja Diez; Borja Calvo; Arantza Illarramendi (IEEE BigData, 2018)

Balancing the Diversification-Intensification Trade-off Using Mixtures of Probability Models. - Joan Alza; Josu Ceberio; Borja Calvo (CEC, 2018)

Bayesian inference for algorithm ranking analysis. - Borja Calvo; Josu Ceberio; José Antonio Lozano 001 (GECCO (Companion), 2018)

Bayesian performance analysis for black-box optimization benchmarking. - Borja Calvo; Ofer M. Shir; Josu Ceberio; Carola Doerr; Hao Wang 025; Thomas Bäck; José Antonio Lozano 001 (GECCO (Companion), 2019)

On the evaluation and selection of classifier learning algorithms with crowdsourced data. - Ari Urkullu; Aritz Pérez; Borja Calvo (Appl. Soft Comput., 2019)

Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions. - Josu Ceberio; Borja Calvo; Alexander Mendiburu; José Antonio Lozano 001 (Evol. Comput., 2019)

Supervised non-parametric discretization based on Kernel density estimation. - Jose Luis Flores 001; Borja Calvo; Aritz Pérez (Pattern Recognit. Lett., 2019)

An Iterated Local Search Algorithm for the Clonal Deconvolution Problem. - Maitena Tellaetxe-Abete; Borja Calvo; Charles Lawrie (CEC, 2020)

Statistical model for reproducibility in ranking-based feature selection. - Ari Urkullu; Aritz Pérez; Borja Calvo (Knowl. Inf. Syst., 2021)

Are the statistical tests the best way to deal with the biomarker selection problem? - Ari Urkullu; Aritz Pérez; Borja Calvo (Knowl. Inf. Syst., 2022)

Non-parametric discretization for probabilistic labeled data. - Jose Luis Flores 001; Borja Calvo; Aritz Pérez (Pattern Recognit. Lett., 2022)

Bayesian Performance Analysis for Algorithm Ranking Comparison. - Jairo Rojas-Delgado; Josu Ceberio; Borja Calvo; José Antonio Lozano 001 (IEEE Trans. Evol. Comput., 2022)

Time to Stop and Think: What kind of research do we want to do? - Josu Ceberio; Borja Calvo (CoRR, 2024)

Addressing the multiplicity of optimal solutions to the Clonal Deconvolution and Evolution Problem. - Maitena Tellaetxe-Abete; Charles Lawrie; Borja Calvo (Eur. J. Oper. Res., 2025)

A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges. - Aitor Sánchez-Ferrera; Borja Calvo; José Antonio Lozano 001 (CoRR, 2025)