Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Eghbal G. Mansoori"'
Autor:
Mohsen Rahmanian, Eghbal G. Mansoori
Publikováno v:
IEEE Access, Vol 12, Pp 133617-133631 (2024)
With the advent of advanced genomic data extraction methods, numerous studies have been utilized these data to identify cancer subtypes. Given the complexity of cancer subtyping and the limitations of single-omics data, multi-omics approaches have em
Externí odkaz:
https://doaj.org/article/7c35ebb71e884b8287450967dcb3a494
Autor:
Hojjat Moayed, Eghbal G. Mansoori
Publikováno v:
IEEE Access, Vol 10, Pp 62391-62401 (2022)
Regularization methods can surprisingly improve the generalization ability of deep neural networks. Among numerous methods, the branch of Dropout regularization is very popular in practice. However, Dropout-like regularization variants have some defi
Externí odkaz:
https://doaj.org/article/aaf2e307a3b64ed685a8000cd28fb733
Autor:
Eghbal G. Mansoori, Mohsen Rahmanian
Publikováno v:
Fuzzy Sets and Systems. 438:148-163
The data readability, complexity reduction of learning algorithms, and enhancing predictability are the most important reasons for using feature selection methods, especially when there exist lots of features. In recent years, unsupervised feature se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ff5e2be57390b55b7a02bd15d521a09
https://doi.org/10.1016/j.fss.2021.07.015
https://doi.org/10.1016/j.fss.2021.07.015
Autor:
Eghbal G. Mansoori, Haleh Homayouni
Publikováno v:
Intelligent Data Analysis. 25:847-862
Spectral clustering has been an effective clustering method, in last decades, because it can get an optimal solution without any assumptions on data’s structure. The basic key in spectral clustering is its similarity matrix. Despite many empirical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f681a267159db1b7eeb286f35e7a17e3
https://doi.org/10.3233/ida-205362
https://doi.org/10.3233/ida-205362
Publikováno v:
Journal of Computer-Aided Molecular Design. 35:883-900
In the field of drug-target interactions prediction, the majority of approaches formulated the problem as a simple binary classification task. These methods used binary drug-target interaction datasets to train their models. The prediction of drug-ta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0914b7a20eed7927c509b679746ea34
https://doi.org/10.1007/s10822-021-00404-7
https://doi.org/10.1007/s10822-021-00404-7
Autor:
Haleh Homayouni, Eghbal G. Mansoori
Publikováno v:
Arabian Journal for Science and Engineering. 47:1173-1180
Data clustering is an unsupervised learning method as a pivotal technique for statistical data analysis. It is a challenging machine learning scheme that involves the grouping of data samples, especially in large databases. Deep neural networks are s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d26cd5cc0d336dc422ed1cd1ddcfa59
https://doi.org/10.1007/s13369-021-05809-y
https://doi.org/10.1007/s13369-021-05809-y
Autor:
Eghbal G. Mansoori, Massar Sara
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal. 14:116-128
Extreme learning machine (ELM) has attracted attentions in pattern classification problems due to its preferences in low computations and high generalization. To overcome its drawbacks, ca...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0beaaa31cfd7df357a6213a65ff53ed8
https://doi.org/10.1002/sam.11493
https://doi.org/10.1002/sam.11493
Autor:
Eghbal G. Mansoori, Homeira Shahparast
Publikováno v:
International Journal of Approximate Reasoning. 113:336-353
General type-2 fuzzy systems have been shown to handle more levels of uncertainty present in the majority of real-world applications. Nevertheless, the rapid growth of information generation does not allow utilizing general type-2 models for their co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a43f8293ded281a27677d69d2907f0f9
https://doi.org/10.1016/j.ijar.2019.07.011
https://doi.org/10.1016/j.ijar.2019.07.011
Autor:
Hojjat Moayed, Eghbal G. Mansoori
Publikováno v:
2020 10th International Conference on Computer and Knowledge Engineering (ICCKE).
Complex co-adaption between hidden neurons prevents fine tuning of all parameters by overfitting, especially in deep neural models. Dropout has played an essential role to tackle this problem. However, dropout suppress neurons blindly. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d72336d11de5edb1918406621e37105e
https://doi.org/10.1109/iccke50421.2020.9303614
https://doi.org/10.1109/iccke50421.2020.9303614
Publikováno v:
2020 10th International Conference on Computer and Knowledge Engineering (ICCKE).
The data readability, complexity reduction of learning algorithms and increase predictability are the most important reasons for using feature selection methods, especially when there exist lots of features. In recent years, unsupervised feature sele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b48798b55080abaafdebfaac007fc1a
https://doi.org/10.1109/iccke50421.2020.9303633
https://doi.org/10.1109/iccke50421.2020.9303633