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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Luque, M., Ruiz, A. B., Saborido, R., & Marcenaro-Gutiérrez, Ó. D. (2015). On the use of the Lp distance in reference point-based approaches for multiobjective optimization. Annals of Operations Research, 235(1), 559-579. External link
Morales, R., Saborido, R., Khomh, F., Chicano, F., & Antoniol, G. (2018, May). EARMO: An energy-aware refactoring approach for mobile apps [Abstract]. 40th IEEE/ACM International Conference on Software Engineering (ICSE 2018), Gothenburg, Sweden (1 page). External link
Ruiz, A. B., Luque, M., Ruiz, F., & Saborido, R. (2015). A combined interactive procedure using preference-based evolutionary multiobjective optimization. Application to the efficiency improvement of the auxiliary services of power plants. Expert Systems With Applications, 42(21), 7466-7482. External link
Ruizi, A. B., Luquel, M., Miettinen, K., & Saborido, R. (2015, March). An Interactive Evolutionary Multiobjective Optimization Method: Interactive WASF-GA [Paper]. 8th International Conference on Evolutionary Multi-Criterion Optimization (EMO 2015), Guimarães, Portugal. External link
Saborido, R., Morales, R., Khomh, F., Guéhéneuc, Y.-G., & Antoniol, G. (2018). Getting the most from map data structures in Android. Empirical Software Engineering, 23(5), 2829-2864. External link
Saborido, R., Khomh, F., Antoniol, G., & Guéhéneuc, Y.-G. (2017, May). Comprehension of ads-supported and paid Android applications: Are they different? [Paper]. 25th International Conference on Program Comprehension (ICPC 2017), Buenos Aires, Argentina. External link
Saborido, R., Ruiz, A. B., & Luque, M. (2017). Global WASF-GA: an evolutionary algorithm in multiobjective optimization to approximate the whole pareto optimal front. Evolutionary Computation, 25(2), 309-349. External link
Saborido, R., Beltrame, G., Khomh, F., Alba, E., & Antoniol, G. (2016). Optimizing user experience in choosing android applications. (Technical Report n° EPM-RT-2016-03). Available
Saborido, R., Ruiz, A. B., Bermúdez, J. D., Vercher, E., & Luque, M. (2016). Evolutionary multi-objective optimization algorithms for fuzzy portfolio selection. Applied Soft Computing, 39, 48-63. External link
