Results 11 to 20 of about 1,641,011 (264)
IEEE Access, 2019 Nowadays, most end-to-end task-oriented dialog systems are based on sequence-to-sequence (Seq2seq), which is an encoder-decoder framework. These systems sometimes produce grammatically correct, but logically incorrect responses.
Junqing He +4 more
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GuidedMix: An on‐the‐fly data augmentation approach for robust speaker recognition system
Electronics Letters, 2022 Data augmentation is an essential technique for building a high‐robustness speaker recognition system. this letter proposes a novel on‐the‐fly data augmentation strategy called GuidedMix.
Runqiu Xiao +4 more
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Restricted Boltzmann Machine-Based Approaches for Link Prediction in Dynamic Networks
IEEE Access, 2018 Link prediction in dynamic networks aims to predict edges according to historical linkage status. It is inherently difficult because of the linear/non-linear transformation of underlying structures.
Taisong Li +4 more
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Adaptive Envelope Segmentation of Heart Sound Based on Non-Stationary System Identification [PDF]
Jisuanji gongcheng, 2020 To effectively segment Heart Sound Signal(HSS),this paper proposes an adaptive segmentation method for heart sound based on Non-Stationary System Identification(NSSI),so as to extract the envelope of HSS,and smooth and broaden it.The method uses the ...
XU Chundong, ZHOU Jing, YING Dongwen, LONG Qinghua
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Parallel global convolutional network for semantic image segmentation
IET Image Processing, 2021 In this paper, a novel convolutional neural network for fast semantic segmentation is presented. Deep convolutional neural networks have achieved great progress in the task of vision scene understanding.
Xing Bai, Jun Zhou
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Mental Health Literacy Regarding Depression and Suicide
European Journal of Mental Health, 2022 Introduction: Mental health literacy enables individuals to recognize the symptoms associated with mental illness, and thus adjust their behavior to manage and seek help and treatment for mental illness.
David Dias Neto, Pramod Lacmane Maugi
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LWMD: A Comprehensive Compression Platform for End-to-End Automatic Speech Recognition Models
Applied Sciences, 2023 Recently end-to-end (E2E) automatic speech recognition (ASR) models have achieved promising performance. However, existing models tend to adopt increasing model sizes and suffer from expensive resource consumption for real-world applications. To compress
Yukun Liu +3 more
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Perfect Thinkers, Perfect Speakers and Internalism about Thought Content [PDF]
Organon F, 2023 In the following paper I propose an argument against internalism about thought content. After a brief preview of the recent debate between Sarah Sawyer and Åsa Wikforss, the paper outlines the central issue in their discussion.
Madelaine Angelova-Elchinova
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Applying deep matching networks to Chinese medical question answering: a study and a dataset
BMC Medical Informatics and Decision Making, 2019 Background Medical and clinical question answering (QA) is highly concerned by researchers recently. Though there are remarkable advances in this field, the development in Chinese medical domain is relatively backward.
Junqing He, Mingming Fu, Manshu Tu
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Relevancy between Objects Based on Common Sense for Semantic Segmentation
Applied Sciences, 2022 Research on image classification sparked the latest deep-learning boom. Many downstream tasks, including semantic segmentation, benefit from it. The state-of-the-art semantic segmentation models are all based on deep learning, and they sometimes make ...
Jun Zhou, Xing Bai, Qin Zhang
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