Do, Thanh-Ha
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1

Hannotate: Flexible Annotation for Text Analytics from Anyw..:

, In: Lecture Notes in Computer Science; The Semantic Web: ESWC 2023 Satellite Events,
To, Tan-Tai ; Dao, Hoang ; Nguyen, Huyen.. - p. 128-132 , 2023
 
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2

COVID-Net Network and Application on Support Diagnosis COVI..:

, In: 2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR),
Do, Thanh-Ha ; Le, Huy ; Ha, Trung-Hieu - p. 1-7 , 2022
 
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3

Automated Classification of Lung Injury from X-ray Images u..:

, In: 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC),
Le, Huy ; Do, Thanh-Ha - p. 2029-2034 , 2022
 
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4

Supporting Thyroid Cancer Diagnosis based on Cell Classific..:

, In: 2022 International Conference on Multimedia Analysis and Pattern Recognition (MAPR),
Do, Thanh-Ha ; Khanh, Hoa Nguyen - p. 1-5 , 2022
 
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5

Extracting Handwritten Regions In Japanese Document Images:

, In: 2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR),
Nguyen, Kim-Ngan ; Do, Thanh-Ha - p. 1-6 , 2020
 
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6

Image Captioning in Vietnamese Language Based on Deep Learn..:

, In: Advances in Computational Collective Intelligence; Communications in Computer and Information Science,
Tien, Ha Nguyen ; Do, Thanh-Ha ; Nguyen, Van-Anh - p. 789-800 , 2020
 
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7

Generating Vietnamese Language Caption Automatically for Sc..:

, In: 2020 International Conference on Multimedia Analysis and Pattern Recognition (MAPR),
Tien, Ha Nguyen ; Do, Thanh-Ha - p. 1-6 , 2020
 
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8

Text Extraction Using Sparse Representation over Learning D..:

, In: Communications in Computer and Information Science; Recent Trends in Image Processing and Pattern Recognition,
 
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9

Can We Understand Image Semantics from Conventional Neural ..:

, In: Communications in Computer and Information Science; Recent Trends in Image Processing and Pattern Recognition,
Do, Thanh-Ha ; Anh, Nguyen T. V. ; Dat, Nguyen T.. - p. 509-519 , 2019
 
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15

Document noise removal using sparse representations over le..:

, In: Proceedings of the 2013 ACM symposium on Document engineering,
 
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