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Learning Sequential Data with the Help of Linear Systems.

, and . ANNPR, volume 9896 of Lecture Notes in Computer Science, page 3-17. Springer, (2016)

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Neural Networks for Sequential Data: a Pre-training Approach based on Hidden Markov Models., , and . Neurocomputing, (2015)Face Landmark-based Speaker-Independent Audio-Visual Speech Enhancement in Multi-Talker Environments., , , , , and . CoRR, (2018)Threat is in the Air: Machine Learning for Wireless Network Applications., , and . WiseML@WiSec, page 16-21. ACM, (2019)A HMM-based pre-training approach for sequential data., , and . ESANN, (2014)SOM-based aggregation for graph convolutional neural networks., , and . Neural Comput. Appl., 34 (1): 5-24 (2022)Pre-training of Recurrent Neural Networks via Linear Autoencoders., and . NIPS, page 3572-3580. (2014)Joined Audio-Visual Speech Enhancement and Recognition in the Cocktail Party: The Tug Of War Between Enhancement and Recognition Losses., , and . CoRR, (2019)Learning Sequential Data with the Help of Linear Systems., and . ANNPR, volume 9896 of Lecture Notes in Computer Science, page 3-17. Springer, (2016)Face Landmark-based Speaker-independent Audio-visual Speech Enhancement in Multi-talker Environments., , , , , and . ICASSP, page 6900-6904. IEEE, (2019)Audio-Visual Target Speaker Extraction on Multi-Talker Environment using Event-Driven Cameras., , , , and . CoRR, (2019)