Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Abuzar Shaikh"'
Autor:
Tiehang Duan, Mohammad Abuzar Shaikh, Mihir Chauhan, Jun Chu, Rohini K. Srihari, Archita Pathak, Sargur N. Srihari
Publikováno v:
IEEE Access, Vol 8, Pp 224791-224802 (2020)
Electroencephalogram (EEG) signal has large variance and its pattern differs significantly across subjects. Cross subject EEG classification is a challenging task due to such pattern variation and the limited target data available, as collecting and
Externí odkaz:
https://doaj.org/article/7a49971bbce9419989d825591ed6e738
Publikováno v:
Journal of Computer Science Engineering and Software Testing. 9:25-31
We are presenting the optimized price prediction of laptops in this paper using supervised machine learning techniques. The prediction precision is up to 81% in this research with the usage of the machine learning prediction method (multiple linear r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94009104839ddad55391790fd1df4230
https://doi.org/10.46610/jocses.2023.v09i01.004
https://doi.org/10.46610/jocses.2023.v09i01.004
Publikováno v:
International Journal of Advanced Research in Science, Communication and Technology. :20-28
ITSM (Information Technology Service Management System) is a Cloud-Based Web App that is designed to handle the workflow of various IT projects that are undertaken in an organization. The workflow includes the commencement of the idea of the project
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68d6bf947171aa53cf3b9850c1774c17
https://doi.org/10.48175/ijarsct-1083
https://doi.org/10.48175/ijarsct-1083
Autor:
Jun Chu, Rohini K. Srihari, Mihir Chauhan, Sargur N. Srihari, Archita Pathak, Mohammad Abuzar Shaikh, Tiehang Duan
Publikováno v:
IEEE Access, Vol 8, Pp 224791-224802 (2020)
Electroencephalogram (EEG) signal has large variance and its pattern differs significantly across subjects. Cross subject EEG classification is a challenging task due to such pattern variation and the limited target data available, as collecting and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cec0072f77755e1f33e71ad4fdbc9584
https://ieeexplore.ieee.org/document/9296222/
https://ieeexplore.ieee.org/document/9296222/
Ultra Efficient Transfer Learning with Meta Update for Continuous EEG Classification Across Subjects
Publikováno v:
Proceedings of the Canadian Conference on Artificial Intelligence.
The pattern of Electroencephalogram(EEG) signal differs significantly across different subjects, and poses challenge for EEG classifiers in terms of 1) effectively adapting a learned classifier onto a new subject, 2) retaining knowledge of known subj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6eac39fdc88d2edc8e443d43ef35d303
https://doi.org/10.21428/594757db.6bc1ca44
https://doi.org/10.21428/594757db.6bc1ca44
In clinical applications, neural networks must focus on and highlight the most important parts of an input image. Soft-Attention mechanism enables a neural network toachieve this goal. This paper investigates the effectiveness of Soft-Attention in de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::448b3e7cf785126338a7bd32ddfb62d7
https://doi.org/10.31219/osf.io/hjp56
https://doi.org/10.31219/osf.io/hjp56
Publikováno v:
ICFHR
The task of writer verification is to provide a likelihood score for whether the queried and known handwritten image samples belong to the same writer or not. Such a task calls for the neural network to make it's outcome interpretable, i.e. provide a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::650af46cdcdee7f138ba6a5c90d1fe4c
https://doi.org/10.1109/icfhr2020.2020.00074
https://doi.org/10.1109/icfhr2020.2020.00074
Publikováno v:
International Journal of Computer Sciences and Engineering. 7:262-264
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d590074a75ef7c15d08f4174e622946
https://doi.org/10.26438/ijcse/v7i10.262264
https://doi.org/10.26438/ijcse/v7i10.262264
Publikováno v:
ICFHR
We propose an effective Hybrid Deep Learning (HDL) architecture for the task of determining the probability that a questioned handwritten word has been written by a known writer. HDL is an amalgamation of Auto-Learned Features (ALF) and Human-Enginee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa34143c9ec70334d4cb18e37629959b
http://arxiv.org/abs/1812.02621
http://arxiv.org/abs/1812.02621
Publikováno v:
ICFHR
We propose an end-to-end learning method based on statistical features extracted on set-of-samples level as a step toward solving the writer verification problem which is about deciding whether two handwriting sources are identical given handwriting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d0d2f3480eb22f759f3631d3af7ba12
https://doi.org/10.1109/icfhr-2018.2018.00040
https://doi.org/10.1109/icfhr-2018.2018.00040