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A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.

C. Zhang, D. Song, Y. Chen, X. Feng, C. Lumezanu, W. Cheng, J. Ni, B. Zong, H. Chen, and N. Chawla. CoRR, (2018)

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Yühe Feng

Feng Yan

Feng Shi

Feng Qiu

Zhaoyong Feng

Other publications of authors with the same name

Characterizing Alzheimer's Disease With Image and Genetic Biomarkers Using Supervised Topic Models.J. Yang, X. Feng, A. Laine, and E. Angelini. IEEE J. Biomed. Health Informatics, 24 (4): 1180-1187 (2020)Discriminative analysis of the human cortex using spherical CNNs - a study on Alzheimer's disease diagnosis.X. Feng, J. Yang, A. Laine, and E. Angelini. CoRR, (2018)DNN-Based Linear Prediction Residual Enhancement for Speech Dereverberation.X. Feng, N. Li, Z. He, Y. Zhang, and W. Zhang. APSIPA ASC, page 541-545. IEEE, (2021)Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection.X. Feng, D. Song, Y. Chen, Z. Chen, J. Ni, and H. Chen. ACM Multimedia, page 5546-5554. ACM, (2021)Texton and sparse representation based texture classification of lung parenchyma in CT images.J. Yang, X. Feng, E. Angelini, and A. Laine. EMBC, page 1276-1279. IEEE, (2016)A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.C. Zhang, D. Song, Y. Chen, X. Feng, C. Lumezanu, W. Cheng, J. Ni, B. Zong, H. Chen, and N. Chawla. AAAI, page 1409-1416. AAAI Press, (2019)Large-scale neuroimaging in Alzheimer's disease and normal aging.X. Feng. Columbia University, USA, (2019)Substituting Gadolinium in Brain MRI Using DeepContrast.H. Sun, X. Liu, X. Feng, C. Liu, N. Zhu, S. Gjerswold-Selleck, H. Wei, P. Upadhyayula, A. Mela, C. Wu and 5 other author(s). ISBI, page 908-912. IEEE, (2020)Alzheimer's disease diagnosis based on anatomically stratified texture analysis of the hippocampus in structural MRI.X. Feng, J. Yang, A. Laine, and E. Angelini. ISBI, page 1546-1549. IEEE, (2018)Discriminative Localization in CNNs for Weakly-Supervised Segmentation of Pulmonary Nodules.X. Feng, J. Yang, A. Laine, and E. Angelini. MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 568-576. Springer, (2017)

BibSonomy

Disambiguation of "Feng, Xinyang"

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URL
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A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.

Please choose a person to relate this publication to

Yühe Feng

Feng Yan

Feng Shi

Feng Qiu

Zhaoyong Feng

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Feng, Xinyang"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.

Please choose a person to relate this publication to

Yühe Feng

Feng Yan

Feng Shi

Feng Qiu

Zhaoyong Feng

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data.