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A hybrid meta-learning architecture for multi-objective optimization of SVM parameters., , , and . Neurocomputing, (2014)Combining regression models and metaheuristics to optimize space allocation in the retail industry., , and . Intell. Data Anal., 19 (s1): S149-S162 (2015)MetaStream: A meta-learning based method for periodic algorithm selection in time-changing data., , , and . Neurocomputing, (2014)A label ranking approach for selecting rankings of collaborative filtering algorithms., , and . SAC, page 1393-1395. ACM, (2018)Constructive Aggregation and Its Application to Forecasting with Dynamic Ensembles., , , , and . ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 620-636. Springer, (2018)POPmine: Tracking Political Opinion on the Web., , , and . CIT/IUCC/DASC/PICom, page 1521-1526. IEEE, (2015)Improving the accuracy of long-term travel time prediction using heterogeneous ensembles., , , and . Neurocomputing, (2015)tsMorph: generation of semi-synthetic time series to understand algorithm performance., , and . CoRR, (2023)Preference rules for label ranking: Mining patterns in multi-target relations., , , , and . CoRR, (2019)Distance-Based Decision Tree Algorithms for Label Ranking., , , and . EPIA, volume 9273 of Lecture Notes in Computer Science, page 525-534. Springer, (2015)