Borja Calvo

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 14

Top Topics

Kernel Density Estimation

Search Algorithm

Probability Models

Top Venues

GECCO (Companion)

Knowl. Inf. Syst.

Pattern Recognit. Lett.

Publications

Josu Ceberio, Borja Calvo
Time to Stop and Think: What kind of research do we want to do? CoRR (2024)
Jairo Rojas-Delgado, Josu Ceberio, Borja Calvo, José Antonio Lozano
Bayesian Performance Analysis for Algorithm Ranking Comparison. IEEE Trans. Evol. Comput. 26 (6) (2022)
Ari Urkullu, Aritz Pérez, Borja Calvo
Are the statistical tests the best way to deal with the biomarker selection problem? Knowl. Inf. Syst. 64 (6) (2022)
Jose Luis Flores, Borja Calvo, Aritz Pérez
Non-parametric discretization for probabilistic labeled data. Pattern Recognit. Lett. 161 (2022)
Ari Urkullu, Aritz Pérez, Borja Calvo
Statistical model for reproducibility in ranking-based feature selection. Knowl. Inf. Syst. 63 (2) (2021)
Maitena Tellaetxe-Abete, Borja Calvo, Charles Lawrie
An Iterated Local Search Algorithm for the Clonal Deconvolution Problem. CEC (2020)
Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano
Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions. Evol. Comput. 27 (2) (2019)
Ari Urkullu, Aritz Pérez, Borja Calvo
On the evaluation and selection of classifier learning algorithms with crowdsourced data. Appl. Soft Comput. 80 (2019)
Jose Luis Flores, Borja Calvo, Aritz Pérez
Supervised non-parametric discretization based on Kernel density estimation. Pattern Recognit. Lett. 128 (2019)
Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bäck, José Antonio Lozano
Bayesian performance analysis for black-box optimization benchmarking. GECCO (Companion) (2019)
Borja Calvo, Josu Ceberio, José Antonio Lozano
Bayesian inference for algorithm ranking analysis. GECCO (Companion) (2018)
Kevin Villalobos, Jon Vadillo, Borja Diez, Borja Calvo, Arantza Illarramendi
I4TSPS: a Visual-Interactive Web System for Industrial Time-Series Pre-processing. IEEE BigData (2018)
Joan Alza, Josu Ceberio, Borja Calvo
Balancing the Diversification-Intensification Trade-off Using Mixtures of Probability Models. CEC (2018)
Borja Calvo, Guzmán Santafé
scmamp: Statistical Comparison of Multiple Algorithms in Multiple Problems. R J. 8 (1) (2016)
Christian Blum, Borja Calvo
A matheuristic for the minimum weight rooted arborescence problem. J. Heuristics 21 (4) (2015)
Christian Blum, Borja Calvo, Maria J. Blesa
FrogCOL and FrogMIS: new decentralized algorithms for finding large independent sets in graphs. Swarm Intell. 9 (2-3) (2015)
Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano
Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition. CAEPIA (2015)
Christian Blum, Maria J. Blesa, Borja Calvo
Can Frogs Find Large Independent Sets in a Decentralized Way? Yes They Can! ANTS Conference (2014)
Konstantinos Sechidis, Borja Calvo, Gavin Brown
Statistical Hypothesis Testing in Positive Unlabelled Data. ECML/PKDD (3) (2014)
Christian Blum, Maria J. Blesa, Borja Calvo
Beam-ACO for the Repetition-Free Longest Common Subsequence Problem. Artificial Evolution (2013)
Jose Luis Flores, Iñaki Inza, Pedro Larrañaga, Borja Calvo
A new measure for gene expression biclustering based on non-parametric correlation. Comput. Methods Programs Biomed. 112 (3) (2013)
Borja Calvo, Iñaki Inza, Pedro Larrañaga, José Antonio Lozano
Wrapper positive Bayesian network classifiers. Knowl. Inf. Syst. 33 (3) (2012)
Ekhine Irurozki, Borja Calvo, José Antonio Lozano
A Preprocessing Procedure for Haplotype Inference by Pure Parsimony. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (5) (2011)
Ekhine Irurozki, Borja Calvo, José Antonio Lozano
Learning Probability Distributions over Permutations by Means of Fourier Coefficients. Canadian Conference on AI (2011)
Rubén Armañanzas, Borja Calvo, Iñaki Inza, Marcos López-Hoyos, Víctor Martínez-Taboada, Eduardo Ucar, Irantzu Bernales, Asier Fullaondo, Pedro Larrañaga, Ana M. Zubiaga
Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures. IEEE Trans. Inf. Technol. Biomed. 13 (3) (2009)
Borja Calvo, Pedro Larrañaga, José Antonio Lozano
Feature subset selection from positive and unlabelled examples. Pattern Recognit. Lett. 30 (11) (2009)
Borja Calvo, Pedro Larrañaga, José Antonio Lozano
Learning Bayesian classifiers from positive and unlabeled examples. Pattern Recognit. Lett. 28 (16) (2007)
Borja Calvo, Núria López-Bigas, Simon J. Furney, Pedro Larrañaga, José Antonio Lozano
A partially supervised classification approach to dominant and recessive human disease gene prediction. Comput. Methods Programs Biomed. 85 (3) (2007)
Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José Antonio Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez Martínez, Victor Robles
Machine learning in bioinformatics. Briefings Bioinform. 7 (1) (2006)