Publications

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)

• Google Scholar
• BibTeX

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)

• Google Scholar
• BibTeX

3377930.3390187.pdf (297.15 KB)

Un primer estudio sobre el uso de los sistemas de clasificación basados en reglas difusas en problemas de clasificación con clases no balanceadas, Fernández, Alberto, García Salvador, Herrera F., and del Jesus M. J. , XIV Congreso Español sobre tecnologías y lógica fuzzy, 01, Ciudad Real (Español), (2006)

• Google Scholar
• BibTeX

CommuniMents: A Framework for Detecting Community Based Sentiments for Events, Jarwar, Muhammad Aslam, Abbasi Rabeeh Ayaz, Mushtaq Mubashar, Maqbool Onaiza, Aljohani Naif R., Daud Ali, Alowibdi Jalal S., Cano J. R., García Salvador, and Chong Ilyoung , International Journal on Semantic Web and Information Systems, Volume 13, Issue 2, p.87-108, (2017)

• Google Scholar
• BibTeX

Decomposition-Fusion for Label Distribution Learning, Gonzalez, M, González-Almagro Germán, Triguero Isaac, Cano J. R., and García Salvador , Information Fusion, 02/2021, Volume 66, p.64-75, (2021)

• Google Scholar
• BibTeX

1-s2.0-S1566253520303596-main.pdf (947.74 KB)

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)

• Google Scholar
• BibTeX

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

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)

• Google Scholar
• BibTeX

Making CN1 -SD Subgroup Discovery Algorithm Scalable to Large Size Data Sets Using Instance Selection, Cano, J. R., Herrera F., Lozano Manuel, and García Salvador , Expert System with Applications, Volume 35, Number 4, p.1949-1965, (2008)

• Google Scholar
• BibTeX

Monotonic classification: An overview on algorithms, performance measures and data sets, Cano, J. R., Gutiérrez Pedro Antonio, Krawczyk Bartosz, Woźniak Michat, and García Salvador , Neurocomputing, 05/2019, Volume 341, p.168-182, (2019)

• Google Scholar
• BibTeX

1-s2.0-S0925231219302383-main.pdf (1.52 MB)

ProLSFEO-LDL: Prototype Selection and Label- Specific Feature Evolutionary Optimization for Label Distribution Learning, Gonzalez, M, Cano J. R., and García Salvador , Applied Sciences, Volume 10, Issue 9, p.3089, (2020)

• Google Scholar
• BibTeX

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)

• Google Scholar
• BibTeX

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)

• Google Scholar
• BibTeX

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)

• Google Scholar
• BibTeX

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