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Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.

, , , , , , , , , , , , , and . Briefings Bioinform., 20 (3): 931-951 (2019)

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A Robust Speaker-Adaptive and Text-Prompted Speaker Verification System., , and . CCBR, volume 8833 of Lecture Notes in Computer Science, page 385-393. Springer, (2014)Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches., , , , , , , , , and 4 other author(s). Briefings Bioinform., 20 (3): 931-951 (2019)AP20-OLR Challenge: Three Tasks and Their Baselines., , , , , , , and . APSIPA, page 550-555. IEEE, (2020)OLR 2021 Challenge: Datasets, Rules and Baselines., , , , , , , , , and . APSIPA ASC, page 1097-1103. IEEE, (2021)Lightspeech: Lightweight Non-Autoregressive Multi-Speaker Text-To-Speech., , , and . SLT, page 499-506. IEEE, (2021)Extraction of Noise-Robust Speaker Embedding Based on Generative Adversarial Networks., , , and . APSIPA, page 1641-1645. IEEE, (2019)Speaker Embedding Extraction with Multi-feature Integration Structure., , , , and . APSIPA, page 450-454. IEEE, (2019)Training Multi-task Adversarial Network for Extracting Noise-robust Speaker Embedding., , , , , and . ICASSP, page 6196-6200. IEEE, (2019)XMU-TS Systems for NIST SRE19 CTS Challenge., , , , , and . ICASSP, page 7569-7573. IEEE, (2020)Translation Memory Sharing Models in XMCAT., , , , and . CSCWD, page 80-83. IEEE, (2007)