Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Effat Jalaeian Zaferani"'
Publikováno v:
Journal of Applied Research on Industrial Engineering, Vol 9, Iss 2, Pp 197-211 (2022)
The personality in the present world plays a critical role in social interactions, the use of modern technologies, and individuals' success. Therefore, in the last two decades, the study of Automatic Personality Perception (APP) and Automatic Persona
Externí odkaz:
https://doaj.org/article/7b6a50b30e574310a5a479ea21e3413f
Publikováno v:
IEEE Access, Vol 9, Pp 68595-68608 (2021)
On account of an increase in the human-computer interface applications, the study of automatic personality perception has become more and more prevalent than speech signal processing in recent years. These studies have shown that personality traits d
Externí odkaz:
https://doaj.org/article/76fac7c5e7eb485da9b985b0177f03f2
Autor:
Effat Jalaeian Zaferani, Mohammad Teshnehlab, Amirreza Khodadadian, Clemens Heitzinger, Mansour Vali, Nima Noii, Thomas Wick
Publikováno v:
Sensors, Vol 22, Iss 16, p 6206 (2022)
In this work, a method for automatic hyper-parameter tuning of the stacked asymmetric auto-encoder is proposed. In previous work, the deep learning ability to extract personality perception from speech was shown, but hyper-parameter tuning was attain
Externí odkaz:
https://doaj.org/article/9925640a0d21458ba11619100d1f6590
Autor:
Noushin Jafarpisheh, Gautam Srivastava, Reza M. Parizi, Mohammad Teshnehlab, Hadis Karimipour, Effat Jalaeian Zaferani
Publikováno v:
Mobile Networks and Applications. 26:2318-2328
Researchers working on cancer datasets often encounter two major challenges in their data science tasks. First, the numbers of samples are often low while the numbers of features needed for extraction are high. Secondly, the existence of noise and un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e44ca9858bf4504bcaf4e38b035f8b6
https://doi.org/10.1007/s11036-021-01835-0
https://doi.org/10.1007/s11036-021-01835-0
Publikováno v:
Nonlinear Dynamics
In this research, the challenging problem of Covid-19 mitigation is looked at from an engineering point of view. At first, the behavior of coronavirus in the Iranian and Russian societies is expressed by a set of ordinary differential equations. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd26d3df29892f45154a3e73339e7f30
https://doi.org/10.21203/rs.3.rs-650197/v1
https://doi.org/10.21203/rs.3.rs-650197/v1
Publikováno v:
CSICC
In this research, a study of automatic personality perception based on the Big-five Inventory (BFI) is done. To extract and select appropriate features for the classification, we employ an auto-encoder as a nonlinear feature learning technique. Since
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c247927d144a152b882cbf6d6694c164
https://doi.org/10.1109/csicc52343.2021.9420627
https://doi.org/10.1109/csicc52343.2021.9420627