Borja Calvo

According to our database, Borja Calvo authored at least 29 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Time to Stop and Think: What kind of research do we want to do?

Josu Ceberio, Borja Calvo

CoRR, 2024

2022

Bayesian Performance Analysis for Algorithm Ranking Comparison.

Jairo Rojas-Delgado, Josu Ceberio, Borja Calvo, José Antonio Lozano

IEEE Trans. Evol. Comput., 2022

Non-parametric discretization for probabilistic labeled data.

Jose Luis Flores, Borja Calvo, Aritz Pérez

Pattern Recognit. Lett., 2022

Are the statistical tests the best way to deal with the biomarker selection problem?

Ari Urkullu, Aritz Pérez, Borja Calvo

Knowl. Inf. Syst., 2022

2021

Statistical model for reproducibility in ranking-based feature selection.

Ari Urkullu, Aritz Pérez, Borja Calvo

Knowl. Inf. Syst., 2021

2020

An Iterated Local Search Algorithm for the Clonal Deconvolution Problem.

Maitena Tellaetxe-Abete, Borja Calvo, Charles Lawrie

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Supervised non-parametric discretization based on Kernel density estimation.

Jose Luis Flores, Borja Calvo, Aritz Pérez

Pattern Recognit. Lett., 2019

Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions.

Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano

Evol. Comput., 2019

On the evaluation and selection of classifier learning algorithms with crowdsourced data.

Ari Urkullu, Aritz Pérez, Borja Calvo

Appl. Soft Comput., 2019

Bayesian performance analysis for black-box optimization benchmarking.

Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bäck, José Antonio Lozano

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Bayesian inference for algorithm ranking analysis.

Borja Calvo, Josu Ceberio, José Antonio Lozano

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Balancing the Diversification-Intensification Trade-off Using Mixtures of Probability Models.

Joan Alza, Josu Ceberio, Borja Calvo

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

I4TSPS: a Visual-Interactive Web System for Industrial Time-Series Pre-processing.

Kevin Villalobos, Jon Vadillo, Borja Diez, Borja Calvo, Arantza Illarramendi

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

scmamp: Statistical Comparison of Multiple Algorithms in Multiple Problems.

Borja Calvo, Guzmán Santafé

R J., 2016

2015

FrogCOL and FrogMIS: new decentralized algorithms for finding large independent sets in graphs.

Christian Blum, Borja Calvo, Maria J. Blesa

Swarm Intell., 2015

A matheuristic for the minimum weight rooted arborescence problem.

Christian Blum, Borja Calvo

J. Heuristics, 2015

Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition.

Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano

Proceedings of the Advances in Artificial Intelligence, 2015

2014

Statistical Hypothesis Testing in Positive Unlabelled Data.

Konstantinos Sechidis, Borja Calvo, Gavin Brown

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Can Frogs Find Large Independent Sets in a Decentralized Way? Yes They Can!

Christian Blum, Maria J. Blesa, Borja Calvo

Proceedings of the Swarm Intelligence - 9th International Conference, 2014

2013

A new measure for gene expression biclustering based on non-parametric correlation.

Jose Luis Flores, Iñaki Inza, Pedro Larrañaga, Borja Calvo

Comput. Methods Programs Biomed., 2013

Beam-ACO for the Repetition-Free Longest Common Subsequence Problem.

Christian Blum, Maria J. Blesa, Borja Calvo

Proceedings of the Artificial Evolution, 2013

2012

Wrapper positive Bayesian network classifiers.

Borja Calvo, Iñaki Inza, Pedro Larrañaga, José Antonio Lozano

Knowl. Inf. Syst., 2012

2011

A Preprocessing Procedure for Haplotype Inference by Pure Parsimony.

Ekhine Irurozki, Borja Calvo, José Antonio Lozano

IEEE ACM Trans. Comput. Biol. Bioinform., 2011

Learning Probability Distributions over Permutations by Means of Fourier Coefficients.

Ekhine Irurozki, Borja Calvo, José Antonio Lozano

Proceedings of the Advances in Artificial Intelligence, 2011

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

Feature subset selection from positive and unlabelled examples.

Borja Calvo, Pedro Larrañaga, José Antonio Lozano

Pattern Recognit. Lett., 2009

2007

Learning Bayesian classifiers from positive and unlabeled examples.

Borja Calvo, Pedro Larrañaga, José Antonio Lozano

Pattern Recognit. Lett., 2007

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

Comput. Methods Programs Biomed., 2007

2006

Machine learning in bioinformatics.

Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José Antonio Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez Martínez, Victor Robles

Briefings Bioinform., 2006