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Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups, , , , , , , , , und 1 andere Autor(en). IEEE Signal Processing Magazine, 29 (6): 82--97 (2012)Normalizing Molecular Docking Rankings using Virtually Generated Decoys., , , , und . Journal of Chemical Information and Modeling, 51 (8): 1817-1830 (2011)Speech recognition for medical conversations., , , , , , , , , und 4 andere Autor(en). CoRR, (2017)Next-Step Conditioned Deep Convolutional Neural Networks Improve Protein Secondary Structure Prediction., und . CoRR, (2017)DAnTE: a statistical tool for quantitative analysis of -omics data., , , , , , , und . Bioinformatics, 24 (13): 1556-1558 (2008)Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks., , , und . CoRR, (2015)A Comparison of Sequence-to-Sequence Models for Speech Recognition., , , , , und . INTERSPEECH, Seite 939-943. ISCA, (2017)Tacotron: Towards End-to-End Speech Synthesis., , , , , , , , , und 4 andere Autor(en). INTERSPEECH, Seite 4006-4010. ISCA, (2017)State-of-the-Art Speech Recognition with Sequence-to-Sequence Models., , , , , , , , , und 4 andere Autor(en). ICASSP, Seite 4774-4778. IEEE, (2018)An Architecture for Real Time Data Acquisition and Online Signal Processing for High Throughput Tandem Mass Spectrometry., , , , , , , , , und 1 andere Autor(en). eScience, Seite 88-93. IEEE Computer Society, (2009)