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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 47 1 When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification Li, Xuedong; Yuan, Walter; Peng, Dezhong... In: BMC Med Inform Decis Mak (2022) BASE Show details 2 Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign Language ... Zhang, Haodong; Li, Weijie; Liu, Jiangpin. - : arXiv, 2021 BASE Show details 3 CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Wang, Yue. - : Underline Science Inc., 2021 BASE Show details 4 Special Patterns of Dynamic Brain Networks Discriminate Between Face and Non-face Processing: A Single-Trial EEG Study Yin, Zhongliang; Wang, Yue; Dong, Minghao... In: Front Neurosci (2021) BASE Show details 5 Dynamic Movement Primitive based Motion Retargeting for Dual-Arm Sign Language Motions ... Liang, Yuwei; Li, Weijie; Wang, Yue. - : arXiv, 2020 BASE Show details 6 ADFAC: Automatic detection of facial articulatory features Garg, Saurabh; Hamarneh, Ghassan; Jongman, Allard; Sereno, Joan A.; Wang, Yue In: MethodsX (2020) Abstract: Using computer-vision and image processing techniques, we aim to identify specific visual cues as induced by facial movements made during monosyllabic speech production. The method is named ADFAC: Automatic Detection of Facial Articulatory Cues. Four facial points of interest were detected automatically to represent head, eyebrow and lip movements: nose tip (proxy for head movement), medial point of left eyebrow, and midpoints of the upper and lower lips. The detected points were then automatically tracked in the subsequent video frames. Critical features such as the distance, velocity, and acceleration describing local facial movements with respect to the resting face of each speaker were extracted from the positional profiles of each tracked point. In this work, a variant of random forest is proposed to determine which facial features are significant in classifying speech sound categories. The method takes in both video and audio as input and extracts features from any video with a plain or simple background. The method is implemented in MATLAB and scripts are made available on GitHub for easy access. • Using innovative computer-vision and image processing techniques to automatically detect and track keypoints on the face during speech production in videos, thus allowing more natural articulation than previous sensor-based approaches. • Measuring multi-dimensional and dynamic facial movements by extracting time-related, distance-related and kinematics-related features in speech production. • Adopting the novel random forest classification approach to determine and rank the significance of facial features toward accurate speech sound categorization. Keyword: Computer Science URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393529/ https://doi.org/10.1016/j.mex.2020.101006 BASE Hide details 7 ADFAC: Automatic detection of facial articulatory features Garg, Saurabh; Hamarneh, Ghassan; Jongman, Allard. - : Elsevier, 2020 BASE Show details 8 Open Agile text mining for bioinformatics: the PubAnnotation ecosystem Kim, Jin-Dong; Wang, Yue; Fujiwara, Toyofumi. - : Oxford University Press, 2019 BASE Show details 9 Heart sound signals can be used for emotion recognition Xiefeng, Cheng; Wang, Yue; Dai, Shicheng. - : Nature Publishing Group UK, 2019 BASE Show details 10 Diverse Education Based on Specific Conditions in Rural Areas of China WANG, Yue; HUANG, Fang In: Studies in Literature and Language; Vol 19, No 3 (2019): Studies in Literature and Language; 92-95 ; 1923-1563 ; 1923-1555 (2019) BASE Show details 11 Additional file 1: of Whole-genome sequencing and analysis of Plasmodium falciparum isolates from China-Myanmar border area ... Hai-Mo Shen; Shen-Bo Chen; Cui, Yan-Bing. - : figshare, 2018 BASE Show details 12 Additional file 1: of Whole-genome sequencing and analysis of Plasmodium falciparum isolates from China-Myanmar border area ... Hai-Mo Shen; Shen-Bo Chen; Cui, Yan-Bing. - : figshare, 2018 BASE Show details 13 Cross-modal Association between Auditory and Visuospatial Information in Mandarin Tone Perception in Noise by Native and Non-native Perceivers Hannah, Beverly; Wang, Yue; Jongman, Allard. - : Frontiers Media, 2018 BASE Show details 14 Cross-modal Association between Auditory and Visuospatial Information in Mandarin Tone Perception in Noise by Native and Non-native Perceivers Hannah, Beverly; Wang, Yue; Jongman, Allard. - : Frontiers Media S.A., 2017 BASE Show details 15 Effects of acoustic and linguistic experience on Japanese pitch accent processing Wu, Xianghua; Kawase, Saya (S31710); Wang, Yue. - : U.K., Cambridge University Press, 2017 BASE Show details 16 fMRI evidence for cortical modification during learning of Mandarin lexical tone Wang, Yue; Sereno, Joan A.; Jongman, Allard. - : Massachusetts Institute of Technology Press, 2017 BASE Show details 17 Tone assimilation by Mandarin and Thai listeners with and without L2 experience Wu, Xianghua; Munro, Murray J.; Wang, Yue In: Journal of phonetics. - Amsterdam : Elsevier 46 (2014), 86-100 OLC Linguistik Show details 18 Hamiltonian cycles in hypercubes with faulty edges Liu, Jia-Jie; Wang, Yue-Li In: Information sciences. - New York, NY : Elsevier Science Inc. 256 (2014), 225-233 OLC Linguistik Show details 19 The influence of visual speech information on the intelligibility of English consonants produced by non-native speakers Kawase, Saya (S31710); Hannah, Beverly; Wang, Yue. - : U.S., Acoustical Society of America, 2014 BASE Show details 20 Training American listeners to perceive Mandarin tones Wang, Yue; Spence, Michelle M.; Jongman, Allard. - : The Acoustical Society of America, 2014 BASE Show details Page: 1 2 3

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