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MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks., , , , , and . ICANN (4), volume 11730 of Lecture Notes in Computer Science, page 703-716. Springer, (2019)An evolutionary approach for determining Hidden Markov Model for medical image analysis., , , and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)Optimal and simultaneous designs of Hermitian transforms and masks for reducing intraclass separations of feature vectors for anomaly detection of diabetic retinopathy images., , , , , , and . CSNDSP, page 1-6. IEEE, (2012)Time-Spread Echo-Based Audio Watermarking With Optimized Imperceptibility and Robustness., , and . IEEE ACM Trans. Audio Speech Lang. Process., 23 (2): 227-239 (2015)The Impact of COVID-19 on Urban Energy Consumption of the Commercial Tourism City., , , , , , and . CoRR, (2021)Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series., , , and . CoRR, (2018)Path-tracking for autonomous vehicles at the limit of friction., , and . ACC, page 5586-5591. IEEE, (2017)Simultaneous stabilization and tracking of basic automobile drifting trajectories., and . Intelligent Vehicles Symposium, page 597-602. IEEE, (2016)Opening New Dimensions: Vehicle Motion Planning and Control using Brakes while Drifting., , and . IV, page 560-565. IEEE, (2020)Shared Control for Giving Ordinary Drivers Expert Level Drifting Skills., , and . SMC, page 1461-1467. IEEE, (2023)