Publications

Enhancing instance-level constrained clustering through differential evolution, González-Almagro, Germán, Luengo Julián, Cano J. R., and García Salvador , Applied Soft Computing, Volume 108, Number 107435, p.1-19, (2021)

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Synthetic Sample Generation for Label Distribution Learning, Gonzalez, M, Luengo Julián, Cano J. R., and García Salvador , Information Sciences, 01/2021, Volume 544, p.197-213, (2021)

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1-s2.0-S0020025520307544-main.pdf (1.36 MB)

Agglomerative Constrained Clustering Through Similarity and Distance Recalculation, González-Almagro, Germán, Suarez Juan Luis, Luengo Julián, Cano J. R., and García Salvador , International Conference on Hybrid Artificial Intelligence Systems, p.424-436, (2020)

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DILS: Constrained clustering through dual iterative local search, González-Almagro, Germán, Luengo Julián, Cano J. R., and García Salvador , Computers & Operations Research, Volume 121, p.104979, (2020)

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1-s2.0-S0305054820300964-main.pdf (903.73 KB)

Improving constrained clustering via decomposition-based multiobjective optimization with memetic elitism, González-Almagro, Germán, Rosales-Pérez Alejandro, Luengo Julián, Cano J. R., and García Salvador , GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 06/2020, p.333–341, (2020)

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3377930.3390187.pdf (297.15 KB)

Similarity-based and Iterative Label Noise Filters for Monotonic Classification, Cano, J. R., Luengo Julián, and García Salvador , Proceedings of the 53rd Hawaii International Conference on System Sciences, p.1698-1706, (2020)

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0169.pdf (253.64 KB)

Smartdata: Data preprocessing to achieve smart data in R, Cordon, I., Luengo Julián, García Salvador, Herrera F., and Charte Francisco , Neurocomputing, 09/2019, Volume 360, p.1-13, (2019)

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