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Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance.

, , , and . Neurocomputing, (2021)

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Fast feature selection aimed at high-dimensional data via hybrid-sequential-ranked searches., , , and . Expert Syst. Appl., 39 (12): 11094-11102 (2012)Feature selection to enhance a two-stage evolutionary algorithm in product unit neural networks for complex classification problems., , , and . Neurocomputing, (2013)Revisiting the yeast cell cycle problem with the improved TriGen algorithm., , and . NaBIC, page 515-520. IEEE, (2011)Mining quantitative association rules based on evolutionary computation and its application to atmospheric pollution., , , and . Integr. Comput. Aided Eng., 17 (3): 227-242 (2010)An evolutionary and local search algorithm for motion planning of two manipulators., , , and . J. Field Robotics, 18 (8): 463-476 (2001)Enhancing Object Detection for Autonomous Driving by Optimizing Anchor Generation and Addressing Class Imbalance., , , and . CoRR, (2021)OCEAn: Ordinal classification with an ensemble approach., , , and . Inf. Sci., (2021)A Kernel for Time Series Classification: Application to Atmospheric Pollutants., , and . SOCO, volume 188 of Advances in Intelligent Systems and Computing, page 417-426. Springer, (2012)Quantitative Association Rules Applied to Climatological Time Series Forecasting., , , and . IDEAL, volume 5788 of Lecture Notes in Computer Science, page 284-291. Springer, (2009)A Framework for Evaluating Land Use and Land Cover Classification Using Convolutional Neural Networks., , and . Remote Sensing, 11 (3): 274 (2019)