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A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records.

, , , , , , , , , and . IEEE Access, (2019)

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A Hybrid Approach to Combining Conventional and Deep Learning Techniques for Single-Channel Speech Enhancement and Recognition., , , and . ICASSP, page 2531-2535. IEEE, (2018)An iterative mask estimation approach to deep learning based multi-channel speech recognition., , , , , , and . Speech Commun., (2019)A speaker-dependent deep learning approach to joint speech separation and acoustic modeling for multi-talker automatic speech recognition., , , and . ISCSLP, page 1-5. IEEE, (2016)A Dilated Transformer Network for Time Series Anomaly Detection., , , and . ICTAI, page 48-52. IEEE, (2022)LSTM-based iterative mask estimation and post-processing for multi-channel speech enhancement., , , and . APSIPA, page 488-491. IEEE, (2017)DNN Training Based on Classic Gain Function for Single-channel Speech Enhancement and Recognition., , and . ICASSP, page 910-914. IEEE, (2019)Attention Based Fully Convolutional Network for Speech Emotion Recognition., , , , and . APSIPA, page 1771-1775. IEEE, (2018)On Design of Robust Deep Models for CHiME-4 Multi-Channel Speech Recognition with Multiple Configurations of Array Microphones., , , , and . INTERSPEECH, page 394-398. ISCA, (2017)Attention-Based Multi-component LSTM for Internet Traffic Prediction., , , and . ICONIP (5), volume 1333 of Communications in Computer and Information Science, page 770-777. Springer, (2020)Online LSTM-based Iterative Mask Estimation for Multi-Channel Speech Enhancement and ASR., , , and . APSIPA, page 362-366. IEEE, (2018)