Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Amir Masoud Eftekhari-Moghadam"'
Publikováno v:
Scientific Programming, Vol 2021 (2021)
Nowadays, opinion texts are quickly published on websites and social networks by various users in the form of short texts and also in high volumes and various fields. Because these texts reflect the opinions of many users, their processing and analys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10fa3342ac74f0e9b8d02d72410ede33
https://doi.org/10.1155/2021/7842631
https://doi.org/10.1155/2021/7842631
Publikováno v:
The Journal of supercomputing.
Considering the huge volume of opinion texts published on various social networks, it is extremely difficult to peruse and use these texts. The automatic creation of summaries can be a significant help for the users of such texts. The current paper e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f8c7029dbe432ff6e050a6eaef3d9bd
https://pubmed.ncbi.nlm.nih.gov/36247797
https://pubmed.ncbi.nlm.nih.gov/36247797
Publikováno v:
Software: Practice and Experience. 51:1147-1169
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7c3988ea561a00d7301308a5c73fe19
https://doi.org/10.1002/spe.2945
https://doi.org/10.1002/spe.2945
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2020 (2020)
Computational Intelligence and Neuroscience, Vol 2020 (2020)
In recent years, ensemble classification methods have been widely investigated in both industry and literature in the field of machine learning and artificial intelligence. The main advantage of this approach is to benefit from a set of classifiers i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe3a77b3eb9c63bb3970835aa051a795
https://doi.org/10.1155/2020/8826914
https://doi.org/10.1155/2020/8826914
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 4, Iss 4, Pp 55-67 (2012)
Artificial immune systems have been proven to be efficient in pattern recognition, data clustering and data classification. The proposed method is a novel artificial immune classifier called aiCLS based on aiNET. Artificial immune network (aiNET) is
Externí odkaz:
https://doaj.org/article/96072288daed4283b9f19c6d917b5160
Publikováno v:
Journal of Parallel and Distributed Computing. 138:1-14
With the advent of the Big data, the scalability of the machine learning algorithms has become more crucial than ever before. Furthermore, Feature selection as an essential preprocessing technique can improve the performance of the learning algorithm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b339cf83d0e37b2d32e11b1154471ed1
https://doi.org/10.1016/j.jpdc.2019.12.001
https://doi.org/10.1016/j.jpdc.2019.12.001
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 4, Iss 1, Pp 1-8 (2012)
Multilevel thresholding is an important technique for image processing. The maximum entropy thresholding (MET) has been widely applied in the literature. This paper presented a novel optimal multilevel thresholding approach based on the maximum entro
Externí odkaz:
https://doaj.org/article/e8862ae860014e439054a207828ffdf1
Publikováno v:
International Journal of Information and Communication Technology Research, Vol 3, Iss 4, Pp 13-25 (2011)
Today, with the advent of digital imagery, the volume of digital images has been growing rapidly in different fields. So, there is an increasing need for providing an effective image retrieval system. In this paper, a semisupervised k-means clusterin
Externí odkaz:
https://doaj.org/article/0f4fe7e58b4c4cf5b9ecba449f4c81d5
Publikováno v:
Engineering Applications of Artificial Intelligence. 82:85-95
In this paper, we propose a regularized point-to-manifold distance metric to measure the distance between the unknown query object and object-specific manifolds for the task multi-view multi-manifold learning. Our metric determine the class of query
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b03db229f7087c349b476822eb8b5c22
https://doi.org/10.1016/j.engappai.2019.03.016
https://doi.org/10.1016/j.engappai.2019.03.016
Publikováno v:
Applied Intelligence. 49:3173-3187
In this paper, we combined two steps in a new multi-view multi-manifold learning algorithm that are essential for recognition tasks in the absence of class label information; first, we emphasize the first step of graph-based multi-view multi-manifold
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::989dde60dc3d2839377ef286466de188
https://doi.org/10.1007/s10489-019-01411-w
https://doi.org/10.1007/s10489-019-01411-w