Zobrazeno 1 - 10 of 36 pro vyhledávání: '"Javad Hamidzadeh"'
2
Protecting the privacy of social network data using graph correction
Autor: Amir Dehaki Toroghi, Javad Hamidzadeh
Today, the rapid development of online social networks, as well as low costs, easy communication, and quick access with minimal facilities have made social networks an attractive and very influential phenomenon among people. The users of these networ
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a007b6f6c1c23750bb1dfd657d49edd8
https://doi.org/10.21203/rs.3.rs-2953725/v1
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6
FSCLBF: Feature Selection based on Correlation Label and B-R Belief Function in Multi-label Data
Autor: Zahra Mehravaran, Javad Hamidzadeh, Reza Monsefi
In many real-world problems, each sample has over one label, which may also have semantic correlations between labels. However, in multi-label datasets, there are many irrelevant features that impact the accuracy of multi-label learning. Using featur
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::412678c6bc174d1a455fb885afe176f8
https://doi.org/10.21203/rs.3.rs-682249/v1
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7
Weighted support vector machine using fuzzy rough set theory
Autor: Javad Hamidzadeh, Somaye Moslemnejad
Publikováno v: Soft Computing. 25:8461-8481
The existence of both uncertainty and imprecision has detrimental impact on efficiency of decision-making applications and some machine learning methods, in particular support vector machine in which noisy samples diminish the performance of SVM trai
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::71ebf1c615614c1d703fe94fbbec5f5d
https://doi.org/10.1007/s00500-021-05773-7
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8
Feature selection by using chaotic cuckoo optimization algorithm with levy flight, opposition-based learning and disruption operator
Autor: Mahsa kelidari, Javad Hamidzadeh
Publikováno v: Soft Computing. 25:2911-2933
Feature selection, which plays an important role in high-dimensional data analysis, is drawing increasing attention recently. Finding the most relevant and important features for classifications are one of the most important tasks of data mining and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::346729e2eb41fa31685f50c840de63c1
https://doi.org/10.1007/s00500-020-05349-x
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9
Robust Feature Selection by Filled Function and Fisher Score
Autor: javad hamidzadeh, Mahsa kelidari
Feature selection is essential in high-dimensional data analysis and filter algorithms, and due to their simplicity and fast speed, they have increasingly been drawing attention in recent years. Retaining all features in machine learning tasks is not
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bacaf8d28c5842599feafc34cc42513
https://doi.org/10.21203/rs.3.rs-1102788/v1
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