Zobrazeno 1 - 10
of 478
pro vyhledávání: '"Rajapakse Jagath C"'
Autor:
Chan, Yi Hao, Girish, Deepank, Gupta, Sukrit, Xia, Jing, Kasi, Chockalingam, He, Yinan, Wang, Conghao, Rajapakse, Jagath C.
Graph neural networks (GNN) have emerged as a popular tool for modelling functional magnetic resonance imaging (fMRI) datasets. Many recent studies have reported significant improvements in disorder classification performance via more sophisticated G
Externí odkaz:
http://arxiv.org/abs/2405.00577
While speech emotion recognition (SER) research has made significant progress, achieving generalization across various corpora continues to pose a problem. We propose a novel domain adaptation technique that embodies a multitask framework with SER as
Externí odkaz:
http://arxiv.org/abs/2310.04703
Autor:
Goyal, Shreyas, Rajapakse, Jagath C.
Hotspot detection using thermal imaging has recently become essential in several industrial applications, such as security applications, health applications, and equipment monitoring applications. Hotspot detection is of utmost importance in industri
Externí odkaz:
http://arxiv.org/abs/2308.13204
In recent years, deep learning models have been applied to neuroimaging data for early diagnosis of Alzheimer's disease (AD). Structural magnetic resonance imaging (sMRI) and positron emission tomography (PET) images provide structural and functional
Externí odkaz:
http://arxiv.org/abs/2307.16366
Autor:
Goh, Jocelyn Hui Lin, Ang, Elroy, Srinivasan, Sahana, Lei, Xiaofeng, Loh, Johnathan, Quek, Ten Cheer, Xue, Cancan, Xu, Xinxing, Liu, Yong, Cheng, Ching-Yu, Rajapakse, Jagath C., Tham, Yih-Chung
Publikováno v:
In Ophthalmology Science November-December 2024 4(6)
Publikováno v:
BMC Bioinformatics, Vol 12, Iss Suppl 13, p S19 (2011)
Abstract Background Essential events of cell development and homeostasis are revealed by the associated changes of cell morphology and therefore have been widely used as a key indicator of physiological states and molecular pathways affecting various
Externí odkaz:
https://doaj.org/article/ab9835d18e2c47e6bc8f94f34612c8c8
Publikováno v:
BMC Bioinformatics, Vol 12, Iss Suppl 13, p S17 (2011)
Abstract Background Biological networks are constantly subjected to random perturbations, and efficient feedback and compensatory mechanisms exist to maintain their stability. There is an increased interest in building gene regulatory networks (GRNs)
Externí odkaz:
https://doaj.org/article/87935462134e4d478e19a7fb375ac9c0
Autor:
Rajapakse Jagath C, Chaturvedi Iti
Publikováno v:
BMC Genomics, Vol 10, Iss Suppl 3, p S28 (2009)
Abstract Background Time delays are often found in gene regulation though most techniques of building gene regulatory networks are not capable of capturing such phenomena. Here we look at the delays in the DNA repair system of Mycobacterium tuberculo
Externí odkaz:
https://doaj.org/article/014102302ff44511b24850f794ebb54d
Autor:
Goyal, Shreyas, Rajapakse, Jagath C.
Publikováno v:
In Expert Systems With Applications 1 March 2024 237 Part B