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2020 – today
- 2025
[j19]Maitena Tellaetxe-Abete
, Charles Lawrie, Borja Calvo:
Addressing the multiplicity of optimal solutions to the Clonal Deconvolution and Evolution Problem. Eur. J. Oper. Res. 320(3): 777-788 (2025)- 2024
- [i1]Josu Ceberio, Borja Calvo:
Time to Stop and Think: What kind of research do we want to do? CoRR abs/2402.08298 (2024) - 2022
- [j18]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): 1549-1570 (2022) - [j17]Jose Luis Flores, Borja Calvo, Aritz Pérez:
Non-parametric discretization for probabilistic labeled data. Pattern Recognit. Lett. 161: 52-58 (2022) - [j16]Jairo Rojas-Delgado, Josu Ceberio, Borja Calvo, José Antonio Lozano:
Bayesian Performance Analysis for Algorithm Ranking Comparison. IEEE Trans. Evol. Comput. 26(6): 1281-1292 (2022) - 2021
- [j15]Ari Urkullu, Aritz Pérez, Borja Calvo:
Statistical model for reproducibility in ranking-based feature selection. Knowl. Inf. Syst. 63(2): 379-410 (2021) - 2020
- [c10]Maitena Tellaetxe-Abete, Borja Calvo, Charles Lawrie:
An Iterated Local Search Algorithm for the Clonal Deconvolution Problem. CEC 2020: 1-8
2010 – 2019
- 2019
- [j14]Ari Urkullu, Aritz Pérez, Borja Calvo:
On the evaluation and selection of classifier learning algorithms with crowdsourced data. Appl. Soft Comput. 80: 832-844 (2019) - [j13]Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano:
Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions. Evol. Comput. 27(2): 291-311 (2019) - [j12]Jose Luis Flores, Borja Calvo, Aritz Pérez:
Supervised non-parametric discretization based on Kernel density estimation. Pattern Recognit. Lett. 128: 496-504 (2019) - [c9]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: 1789-1797 - 2018
- [c8]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: 2012-2018 - [c7]Joan Alza, Josu Ceberio, Borja Calvo:
Balancing the Diversification-Intensification Trade-off Using Mixtures of Probability Models. CEC 2018: 1-8 - [c6]Borja Calvo, Josu Ceberio, José Antonio Lozano:
Bayesian inference for algorithm ranking analysis. GECCO (Companion) 2018: 324-325 - 2016
- [j11]Borja Calvo, Guzmán Santafé:
scmamp: Statistical Comparison of Multiple Algorithms in Multiple Problems. R J. 8(1): 248 (2016) - 2015
- [j10]Christian Blum, Borja Calvo:
A matheuristic for the minimum weight rooted arborescence problem. J. Heuristics 21(4): 479-499 (2015) - [j9]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): 205-227 (2015) - [c5]Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano:
Multi-objectivising the Quadratic Assignment Problem by Means of an Elementary Landscape Decomposition. CAEPIA 2015: 289-300 - 2014
- [c4]Christian Blum, Maria J. Blesa, Borja Calvo:
Can Frogs Find Large Independent Sets in a Decentralized Way? Yes They Can! ANTS Conference 2014: 74-85 - [c3]Konstantinos Sechidis, Borja Calvo, Gavin Brown:
Statistical Hypothesis Testing in Positive Unlabelled Data. ECML/PKDD (3) 2014: 66-81 - 2013
- [j8]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): 367-397 (2013) - [c2]Christian Blum, Maria J. Blesa, Borja Calvo:
Beam-ACO for the Repetition-Free Longest Common Subsequence Problem. Artificial Evolution 2013: 79-90 - 2012
- [j7]Borja Calvo, Iñaki Inza, Pedro Larrañaga, José Antonio Lozano:
Wrapper positive Bayesian network classifiers. Knowl. Inf. Syst. 33(3): 631-654 (2012) - 2011
- [j6]Ekhine Irurozki, Borja Calvo, José Antonio Lozano:
A Preprocessing Procedure for Haplotype Inference by Pure Parsimony. IEEE ACM Trans. Comput. Biol. Bioinform. 8(5): 1183-1195 (2011) - [c1]Ekhine Irurozki, Borja Calvo, José Antonio Lozano:
Learning Probability Distributions over Permutations by Means of Fourier Coefficients. Canadian AI 2011: 186-191
2000 – 2009
- 2009
- [j5]Borja Calvo, Pedro Larrañaga, José Antonio Lozano:
Feature subset selection from positive and unlabelled examples. Pattern Recognit. Lett. 30(11): 1027-1036 (2009) - [j4]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): 341-350 (2009) - 2007
- [j3]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): 229-237 (2007) - [j2]Borja Calvo, Pedro Larrañaga, José Antonio Lozano:
Learning Bayesian classifiers from positive and unlabeled examples. Pattern Recognit. Lett. 28(16): 2375-2384 (2007) - 2006
- [j1]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): 86-112 (2006)
Coauthor Index
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