Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Viet Anh Phan"'
Autor:
Viet Anh Phan
Publikováno v:
IEEE Access, Vol 10, Pp 117827-117835 (2022)
Detecting defective source code to localize and fix bugs is important to reduce software development efforts. Although deep learning models have made a breakthrough in this field, many issues have not been resolved, such as labeled data shortage and
Externí odkaz:
https://doaj.org/article/9b4aecf1dbbe4a608cec9b76814b7e46
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031238031
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e12407754b59269f1d29c0578131f16c
https://doi.org/10.1007/978-3-031-23804-8_27
https://doi.org/10.1007/978-3-031-23804-8_27
Autor:
Chau Nguyen, Minh-Quan Bui, Dinh-Truong Do, Nguyen-Khang Le, Dieu-Hien Nguyen, Thu-Trang Nguyen, Ha-Thanh Nguyen, Vu Tran, Le-Minh Nguyen, Ngoc-Cam Le, Thi-Thuy Le, Minh-Phuong Nguyen, Tran-Binh Dang, Truong-Son Nguyen, Viet-Anh Phan, Thi-Hai-Yen Vuong, Minh-Tien Nguyen, Tung Le, Tien-Huy Nguyen
Publikováno v:
2022 14th International Conference on Knowledge and Systems Engineering (KSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4caea5070a1d704560286545bd2e127f
https://doi.org/10.1109/kse56063.2022.9953764
https://doi.org/10.1109/kse56063.2022.9953764
Publikováno v:
2022 14th International Conference on Knowledge and Systems Engineering (KSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b4d8161ded291537105599030a785ab
https://doi.org/10.1109/kse56063.2022.9953798
https://doi.org/10.1109/kse56063.2022.9953798
Publikováno v:
KSE
This paper proposes a new approach for IoT malware detection system based on the analysis of IoT network traffic features. First, we use an autoencoder network to gather latent presentation of the input data. This is followed by a classifier to ident
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05ee78b3cbb2d99060b9c5d3dd26eb83
https://doi.org/10.1109/kse50997.2020.9287373
https://doi.org/10.1109/kse50997.2020.9287373
Autor:
Minh-Tien Nguyen, Miku Hirano, Le Thai Linh, Hajime Hotta, Nguyen Hong Son, Viet-Anh Phan, Le Tien Dung
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811561672
PACLING
PACLING
This paper presents a practical approach to fine-grained information extraction. Through plenty of authors’ experiences in practically applying information extraction to business process automation, there can be found a couple of fundamental techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a36e9f3012a66c90b237ec0db71ee27a
https://doi.org/10.1007/978-981-15-6168-9_38
https://doi.org/10.1007/978-981-15-6168-9_38
Publikováno v:
KSE
Analyzing source code to solve software engineering problems such as fault prediction, cost, and effort estimation always receives attention of researchers as well as companies. The traditional approaches are based on machine learning, and software m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7de34e58a6d6f11a5d6ca3496e40b3b
https://doi.org/10.1109/kse.2016.7758034
https://doi.org/10.1109/kse.2016.7758034
Publikováno v:
KSE
Recently, with the development of the online social network, sentiment classification (SC) which determines opinions of people is a significant task in natural language processing. In this research, we propose a model which combines deep learning and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfa52204c610872091ab4812599be2cf
https://doi.org/10.1109/kse.2016.7758065
https://doi.org/10.1109/kse.2016.7758065
Publikováno v:
2016 Eighth International Conference on Knowledge & Systems Engineering (KSE); 2016, p85-90, 6p