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A self-organizing map to improve vehicle detection in flow monitoring systems., , , , and . Soft Comput., 19 (9): 2499-2509 (2015)Vehicle Type Detection by Convolutional Neural Networks., , , and . IWINAC (2), volume 10338 of Lecture Notes in Computer Science, page 268-278. Springer, (2017)Foreground Detection by Competitive Learning for Varying Input Distributions., , , and . Int. J. Neural Syst., 28 (5): 1750056:1-1750056:16 (2018)Stochastic approximation for background modelling., and . Comput. Vis. Image Underst., 115 (6): 735-749 (2011)Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms., , , , and . IWBBIO, page 55-63. Copicentro Editorial, (2013)Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images., , , and . Integr. Comput. Aided Eng., 25 (4): 321-333 (2018)Adaptive estimation of optimal color transformations for deep convolutional network based homography estimation., , , , and . ICPR, page 3106-3113. IEEE, (2020)Vehicle Classification in Traffic Environments Using the Growing Neural Gas., , , , , and . IWANN (2), volume 10306 of Lecture Notes in Computer Science, page 225-234. Springer, (2017)Enhanced Cellular Detection Using Convolutional Neural Networks and Sliding Window Super-Resolution Inference., , , , and . IWINAC (2), volume 14675 of Lecture Notes in Computer Science, page 44-54. Springer, (2024)Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords., , , , and . J. Biomed. Informatics, (2014)