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UTD-CRSS system for the NIST 2015 language recognition i-vector machine learning challenge., , , , , , и . ICASSP, стр. 5835-5839. IEEE, (2016)Joint information from nonlinear and linear features for spoofing detection: An i-vector/DNN based approach., , , , , , , и . ICASSP, стр. 5035-5039. IEEE, (2016)Source seeking with non-holonomic unicycle without position measurement and with tuning of forward velocity., , , , и . Syst. Control. Lett., 56 (3): 245-252 (2007)Extremum seeking for moderately unstable systems and for autonomous vehicle target tracking without position measurements., , и . Autom., 43 (10): 1832-1839 (2007)Highly Imbalanced Fault Diagnosis of Rolling Bearings Based on Variational Mode Gaussian Distortion and Deep Residual Shrinkage Networks., , и . IEEE Trans. Instrum. Meas., (2023)Joint Modeling of Code-Switched and Monolingual ASR via Conditional Factorization., , , , , , , , и . CoRR, (2021)NeuralEcho: A Self-Attentive Recurrent Neural Network For Unified Acoustic Echo Suppression And Speech Enhancement., , , , и . CoRR, (2022)Chattering-free nested adaptive terminal sliding mode control for PEMFC air supply system with event-triggered communication., , , и . J. Syst. Control. Eng., 237 (2): 314-327 (февраля 2023)An investigation of neural uncertainty estimation for target speaker extraction equipped RNN transducer., , , , , и . Comput. Speech Lang., (2022)Numerical Optimization-based Extremum Seeking Control of LTI Systems., и . CDC/ECC, стр. 4428-4433. IEEE, (2005)