Borja Calvo

34 papers B 2Journal 24Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Review on Self-Supervised Learning in Time Series Anomaly Detection: Recent Advances and Open Challenges.
ACM Comput. Surv.
Aitor Sánchez-Ferrera, Borja Calvo, José Antonio Lozano
2026 J jnl
Adaptive Uncertainty-Guided Surrogates for Efficient phase field Modeling of Dendritic Solidification.
CoRR
Eider Garate-Perez, Kerman López de Calle-Etxabe, Oihana Garcia, Borja Calvo, Meritxell Gómez-Omella, Lambarri Jon
2025 J jnl
A Review on Self-Supervised Learning for Time Series Anomaly Detection: Recent Advances and Open Challenges.
CoRR
Aitor Sánchez-Ferrera, Borja Calvo, José Antonio Lozano
2025 J jnl
Addressing the multiplicity of optimal solutions to the Clonal Deconvolution and Evolution Problem.
Eur. J. Oper. Res.
Maitena Tellaetxe-Abete, Charles Lawrie, Borja Calvo
2025 J jnl
NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection.
CoRR
Aitor Sánchez-Ferrera, Usue Mori, Borja Calvo, José Antonio Lozano
2024 J jnl
Time to Stop and Think: What kind of research do we want to do?
CoRR
Josu Ceberio, Borja Calvo
2022 J jnl
Are the statistical tests the best way to deal with the biomarker selection problem?
Knowl. Inf. Syst.
Ari Urkullu, Aritz Pérez, Borja Calvo
2022 J jnl
Bayesian Performance Analysis for Algorithm Ranking Comparison.
IEEE Trans. Evol. Comput.
Jairo Rojas-Delgado, Josu Ceberio, Borja Calvo, José Antonio Lozano
2022 J jnl
Non-parametric discretization for probabilistic labeled data.
Pattern Recognit. Lett.
Jose Luis Flores, Borja Calvo, Aritz Pérez
2021 J jnl
Statistical model for reproducibility in ranking-based feature selection.
Knowl. Inf. Syst.
Ari Urkullu, Aritz Pérez, Borja Calvo
2020 B conf
An Iterated Local Search Algorithm for the Clonal Deconvolution Problem.
CEC
Maitena Tellaetxe-Abete, Borja Calvo, Charles Lawrie
2019 — conf
Bayesian performance analysis for black-box optimization benchmarking.
GECCO (Companion)
Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bäck, José Antonio Lozano
2019 J jnl
Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions.
Evol. Comput.
Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano
2019 J jnl
On the evaluation and selection of classifier learning algorithms with crowdsourced data.
Appl. Soft Comput.
Ari Urkullu, Aritz Pérez, Borja Calvo
2019 J jnl
Supervised non-parametric discretization based on Kernel density estimation.
Pattern Recognit. Lett.
Jose Luis Flores, Borja Calvo, Aritz Pérez
2018 B conf
Balancing the Diversification-Intensification Trade-off Using Mixtures of Probability Models.
CEC
Joan Alza, Josu Ceberio, Borja Calvo
2018 — conf
Bayesian inference for algorithm ranking analysis.
GECCO (Companion)
Borja Calvo, Josu Ceberio, José Antonio Lozano
2018 — conf
I4TSPS: a Visual-Interactive Web System for Industrial Time-Series Pre-processing.
IEEE BigData
Kevin Villalobos, Jon Vadillo, Borja Diez, Borja Calvo, Arantza Illarramendi
2016 J jnl
scmamp: Statistical Comparison of Multiple Algorithms in Multiple Problems.
R J.
Borja Calvo, Guzmán Santafé
2015 J jnl
A matheuristic for the minimum weight rooted arborescence problem.
J. Heuristics
Christian Blum, Borja Calvo
2015 J jnl
FrogCOL and FrogMIS: new decentralized algorithms for finding large independent sets in graphs.
Swarm Intell.
Christian Blum, Borja Calvo, Maria J. Blesa
2015 — conf
Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition.
CAEPIA
Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano
2014 — conf
Can Frogs Find Large Independent Sets in a Decentralized Way? Yes They Can!
ANTS Conference
Christian Blum, Maria J. Blesa, Borja Calvo
2014 — conf
Statistical Hypothesis Testing in Positive Unlabelled Data.
ECML/PKDD (3)
Konstantinos Sechidis, Borja Calvo, Gavin Brown
2013 J jnl
A new measure for gene expression biclustering based on non-parametric correlation.
Comput. Methods Programs Biomed.
Jose Luis Flores, Iñaki Inza, Pedro Larrañaga, Borja Calvo
2013 — conf
Beam-ACO for the Repetition-Free Longest Common Subsequence Problem.
Artificial Evolution
Christian Blum, Maria J. Blesa, Borja Calvo
2012 J jnl
Wrapper positive Bayesian network classifiers.
Knowl. Inf. Syst.
Borja Calvo, Iñaki Inza, Pedro Larrañaga, José Antonio Lozano
2011 J jnl
A Preprocessing Procedure for Haplotype Inference by Pure Parsimony.
IEEE ACM Trans. Comput. Biol. Bioinform.
Ekhine Irurozki, Borja Calvo, José Antonio Lozano
2011 — conf
Learning Probability Distributions over Permutations by Means of Fourier Coefficients.
Canadian AI
Ekhine Irurozki, Borja Calvo, José Antonio Lozano
2009 J jnl
Feature subset selection from positive and unlabelled examples.
Pattern Recognit. Lett.
Borja Calvo, Pedro Larrañaga, José Antonio Lozano
2009 J jnl
Microarray Analysis of Autoimmune Diseases by Machine Learning Procedures.
IEEE Trans. Inf. Technol. Biomed.
Rubén Armañanzas, Borja Calvo, Iñaki Inza, Marcos López-Hoyos, Víctor Martínez-Taboada, Eduardo Ucar, Irantzu Bernales, Asier Fullaondo, Pedro Larrañaga, Ana M. Zubiaga
2007 J jnl
A partially supervised classification approach to dominant and recessive human disease gene prediction.
Comput. Methods Programs Biomed.
Borja Calvo, Núria López-Bigas, Simon J. Furney, Pedro Larrañaga, José Antonio Lozano
2007 J jnl
Learning Bayesian classifiers from positive and unlabeled examples.
Pattern Recognit. Lett.
Borja Calvo, Pedro Larrañaga, José Antonio Lozano
2006 J jnl
Machine learning in bioinformatics.
Briefings Bioinform.
Pedro Larrañaga, Borja Calvo, Roberto Santana, Concha Bielza, Josu Galdiano, Iñaki Inza, José Antonio Lozano, Rubén Armañanzas, Guzmán Santafé, Aritz Pérez Martínez, Victor Robles