Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Sartra Wongthanavasu"'
Publikováno v:
IEEE Access, Vol 12, Pp 105831-105849 (2024)
Social and sequential recommendations employing bidirectional attention architecture represent a notable advancement in deep learning, enhancing recommender system performance. This breakthrough facilitates the representation learning of interactions
Externí odkaz:
https://doaj.org/article/2bedcd019a2c4ceead4ec58a63cbe948
Publikováno v:
IEEE Access, Vol 12, Pp 6879-6899 (2024)
Numerous research efforts are endeavoring to boost the performance of dynamic user preferences and next-item recommendations, which are pivotal tasks within sequential recommender systems. It is a challenging research problem in recommender systems.
Externí odkaz:
https://doaj.org/article/69b2ea35e5f64f74a0410cf955406fa5
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 6081 (2023)
Feature extraction is an important step in classification. It directly results in an improvement of classification performance. Recent successes of convolutional neural networks (CNN) have revolutionized image classification in computer vision. The o
Externí odkaz:
https://doaj.org/article/11f943cced2e491b85128cd2e8b045c8
Autor:
Pattapon Wanna, Sartra Wongthanavasu
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4346 (2023)
Classification is an important task of machine learning for solving a wide range of problems in conforming patterns. In the literature, machine learning algorithms dealing with non-conforming patterns are rarely proposed. In this regard, a cellular a
Externí odkaz:
https://doaj.org/article/2000d44a9a4f45a7811a136c70e183f7
Publikováno v:
IEEE Access, Vol 8, Pp 103181-103199 (2020)
Deep learning is one of the most popular approaches to machine learning, which has been widely used for classification. In this paper, we propose a novel learning method based on a combination of an idea of the deep learning approach and the cellular
Externí odkaz:
https://doaj.org/article/18c8f86acb0549a4a44071c72c586507
Publikováno v:
IEEE Access, Vol 8, Pp 86433-86447 (2020)
Recommender systems are efficient tools for online applications; these systems exploit historical user ratings on items to make recommendations of items to users. This paper aims to enhance dynamic collaborative filtering on recommender systems under
Externí odkaz:
https://doaj.org/article/5490c44007a948aeb0fdc19a01ad610d
Autor:
Ping Liang, Sartra Wongthanavasu
Publikováno v:
Applied Artificial Intelligence, Vol 32, Iss 9-10, Pp 979-990 (2018)
Homonymy and polysemy are major issues in word sense disambiguation. Combining with multilayer neural network, word sense multiprototyping tackles the issues by defining multiple feature embedding representations for each word which are based on the
Externí odkaz:
https://doaj.org/article/528982d161104d17ad6e9227b9df66ba
Autor:
Sartra Wongthanavasu, Nguyen Ngoc Thuy
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:3024-3037
Attribute reduction, also called feature selection, is one of the most important issues of rough set theory, which is regarded as a vital preprocessing step in pattern recognition, machine learning, and data mining. Nowadays, high-dimensional mixed a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70f9579c6e0530c3e47c71eb1109759f
https://doi.org/10.1109/tnnls.2020.3048080
https://doi.org/10.1109/tnnls.2020.3048080
Publikováno v:
2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf1593fe03b1e7fa3cd71eed645e660a
https://doi.org/10.1109/jcsse54890.2022.9836257
https://doi.org/10.1109/jcsse54890.2022.9836257
Autor:
Nguyen Ngoc Thuy, Sartra Wongthanavasu
Publikováno v:
Expert Systems with Applications. 137:308-323
Data scenarios on nowadays comprise an enormous number of attributes and instances while not all attributes are necessary and useful for data analytics and knowledge extraction in framing expert and intelligent systems. In such scenarios, removing ir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad834668f18d2a12bdcfb03e045075af
https://doi.org/10.1016/j.eswa.2019.06.071
https://doi.org/10.1016/j.eswa.2019.06.071