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An Experimental Design to Evaluate Class Imbalance Treatment Methods.

, , and . ICMLA (2), page 95-101. IEEE, (2012)978-1-4673-4651-1.

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An Experimental Design to Evaluate Class Imbalance Treatment Methods., , and . ICMLA (2), page 95-101. IEEE, (2012)978-1-4673-4651-1.Applying Machine Learning and Audio Analysis Techniques to Insect Recognition in Intelligent Traps., , , , and . ICMLA (1), page 99-104. IEEE, (2013)Exploring Low Cost Laser Sensors to Identify Flying Insect Species - Evaluation of Machine Learning and Signal Processing Methods., , , , and . Journal of Intelligent and Robotic Systems, 80 (Supplement-1): 313-330 (2015)Elastic Time Series Motifs and Discords., and . ICMLA, page 237-242. IEEE, (2018)Committee of NAS-based models., , , , , , and . IJCNN, page 1-8. IEEE, (2021)OLGA: One-cLass Graph Autoencoder., , , and . CoRR, (2024)Artist Similarity Based on Heterogeneous Graph Neural Networks., , and . IEEE ACM Trans. Audio Speech Lang. Process., (2024)Matrix Profile I: All Pairs Similarity Joins for Time Series: A Unifying View That Includes Motifs, Discords and Shapelets., , , , , , , , and . ICDM, page 1317-1322. IEEE Computer Society, (2016)Spoken Digit Recognition in Portuguese Using Line Spectral Frequencies., , , and . IBERAMIA, volume 7637 of Lecture Notes in Computer Science, page 241-250. Springer, (2012)Extracting Texture Features for Time Series Classification., , and . ICPR, page 1425-1430. IEEE Computer Society, (2014)