Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Yonghe Chu"'
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8550 (2024)
Due to the explosive growth of software quantity and the mixed ability of software developers, a large number of software defects emerge during the later stages of software maintenance. The search method based on genetic programming is one of the mos
Externí odkaz:
https://doaj.org/article/63cdd3061c8643b7b9f0cdf4ceb28476
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 4, Pp 21-35 (2023)
Recently, spectrum-based fault localization approaches have been widely used for its fast and perform well for programs with only one fault.However, most of the existing methods do not consider the fact that the programs tend to have multiple faults.
Externí odkaz:
https://doaj.org/article/0e6ac2a0a18a4ca7942a819084f1680d
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 8, Pp 101676- (2023)
Fault localization have proven to be useful in various software during the process of software testing and debugging. The presence of multiple faults simultaneously may deteriorate the effectiveness of existing fault-localization techniques. One good
Externí odkaz:
https://doaj.org/article/fbf7e5436b3e41ce8fa772fd7d0fd438
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-17 (2022)
Abstract Background Electronic medical records (EMR) contain detailed information about patient health. Developing an effective representation model is of great significance for the downstream applications of EMR. However, processing data directly is
Externí odkaz:
https://doaj.org/article/c963d9434ce14caf94318994e02b1927
Publikováno v:
IEEE Access, Vol 8, Pp 135152-135161 (2020)
Sarcasm is a form of figurative language where the literal meaning of words cannot hold, and instead the opposite interpretation is intended in a text. Sarcasm detection is a significant task to mine fine-grained information, which is a much more dif
Externí odkaz:
https://doaj.org/article/9c7b29632022464699ae749c41130490
Publikováno v:
Complexity, Vol 2020 (2020)
Humor refers to the quality of being amusing. With the development of artificial intelligence, humor recognition is attracting a lot of research attention. Although phonetics and ambiguity have been introduced by previous studies, existing recognitio
Externí odkaz:
https://doaj.org/article/db732b450ec34973ae365909f3329df5
Autor:
Yonghe Chu, Hongfei Lin, Liang Yang, Yufeng Diao, Dongyu Zhang, Shaowu Zhang, Xiaochao Fan, Chen Shen, Deqin Yan
Publikováno v:
Complexity, Vol 2019 (2019)
An extreme learning machine (ELM) is a useful technique for machine learning; however, the existing extreme learning machine methods cannot exploit the geometric structure information or discriminate information of the data space well. Therefore, we
Externí odkaz:
https://doaj.org/article/179af1f85af742358bc63297ef1a6234
Publikováno v:
Information Technology and Control. 52:111-127
The graph neural network (GNN) based approaches have attracted more and more attention in session-based recommendation tasks. However, most of the existing methods do not fully take advantage of context information in session when capturing user’s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5343476bec03f9ee60f1d28aabc0a14
https://doi.org/10.5755/j01.itc.52.1.32138
https://doi.org/10.5755/j01.itc.52.1.32138
Publikováno v:
Information Technology and Control. 52:68-84
During the process of software repair, since the granularity of repair is too coarse and the way of fixing ingredient is too simple, the repair efficiency needs to be further improved. To resolve the problems, we propose a Mixed Granularity and Varia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f118a0cbfa7ab4650cd8dd0d69921ed
https://doi.org/10.5755/j01.itc.52.1.30715
https://doi.org/10.5755/j01.itc.52.1.30715
Publikováno v:
Multimedia Systems. 29:1089-1101
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b6ccb09062f4d3346f3721f7c214681
https://doi.org/10.1007/s00530-022-01039-w
https://doi.org/10.1007/s00530-022-01039-w