Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Joseph JaJa"'
Autor:
Joyneel Misra, Srinivas Govinda Surampudi, Manasij Venkatesh, Chirag Limbachia, Joseph Jaja, Luiz Pessoa
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 9, p e1008943 (2021)
Insights from functional Magnetic Resonance Imaging (fMRI), as well as recordings of large numbers of neurons, reveal that many cognitive, emotional, and motor functions depend on the multivariate interactions of brain signals. To decode brain dynami
Externí odkaz:
https://doaj.org/article/6d0c00fb0b7343f48a29e7416d64bc8c
Publikováno v:
NeuroImage, Vol 207, Iss , Pp 116398- (2020)
Understanding the correlation structure associated with multiple brain measurements informs about potential “functional groupings” and network organization. The correlation structure can be conveniently captured in a matrix format that summarizes
Externí odkaz:
https://doaj.org/article/65150c6132764ed6baa8d7a418d37827
Publikováno v:
Frontiers in Physiology, Vol 9 (2018)
Fast and accurate computational biology models offer the prospect of accelerating the development of personalized medicine. A tool capable of estimating treatment success can help prevent unnecessary and costly treatments and potential harmful side e
Externí odkaz:
https://doaj.org/article/f454ef3aee16422b830e5abb4f371aa4
Autor:
Aman Garg, Samson Yuen, Nuttiiya Seekhao, Grace Yu, Jeannie A. C. Karwowski, Michael Powell, Jon T. Sakata, Luc Mongeau, Joseph JaJa, Nicole Y. K. Li-Jessen
Publikováno v:
Applied Sciences, Vol 9, Iss 15, p 2974 (2019)
Agent based models (ABM) were developed to numerically simulate the biological response to surgical vocal fold injury and repair at the physiological level. This study aimed to improve the representation of existing ABM through a combination of empir
Externí odkaz:
https://doaj.org/article/0b8f8bc9431f4cacbd40a19945fcc7b8
Publikováno v:
Environmental Research Letters, Vol 11, Iss 1, p 015004 (2016)
Several key studies have found that a small minority of producers, polluting at levels far exceeding group averages, generate the majority of overall exposure to industrial toxics. Frequently, such patterns go unnoticed and are understudied outside o
Externí odkaz:
https://doaj.org/article/b79c07a409094914b0c906a92c1c5c21
Autor:
Amit Kumar Kundu, Joseph Jaja
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031159367
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51ac86935fc6e44aa9ebbaf8891a5bb6
https://doi.org/10.1007/978-3-031-15937-4_20
https://doi.org/10.1007/978-3-031-15937-4_20
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031159183
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e153ce2dc7ca7732c53b4d7d81bab46
https://doi.org/10.1007/978-3-031-15919-0_10
https://doi.org/10.1007/978-3-031-15919-0_10
Publikováno v:
NeuroImage. 186:410-423
Human functional Magnetic Resonance Imaging (fMRI) data are acquired while participants engage in diverse perceptual, motor, cognitive, and emotional tasks. Although data are acquired temporally, they are most often treated in a quasi-static manner.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61917e129b5ea95553fe5123c413b291
https://doi.org/10.1016/j.neuroimage.2018.11.016
https://doi.org/10.1016/j.neuroimage.2018.11.016
Autor:
Luiz Pessoa, Manasij Venkatesh, Chirag Limbachia, Srinivas Govinda Surampudi, Joseph JaJa, Joyneel Misra
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 9, p e1008943 (2021)
PLoS Computational Biology, Vol 17, Iss 9, p e1008943 (2021)
Insights from functional Magnetic Resonance Imaging (fMRI), as well as recordings of large numbers of neurons, reveal that many cognitive, emotional, and motor functions depend on the multivariate interactions of brain signals. To decode brain dynami
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6433ce38aad831800505dc44a013cd4b
https://doi.org/10.1101/2021.03.27.437315
https://doi.org/10.1101/2021.03.27.437315
Autor:
Chihuang Liu, Joseph JaJa
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030863791
ICANN (4)
ICANN (4)
Generating confidence calibrated outputs is of utmost importance for the applications of deep neural networks in safety-critical decision-making systems. The output of a neural network is a probability distribution where the scores are estimated conf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24ee360faa88c999ad4eddb507f773dd
https://doi.org/10.1007/978-3-030-86380-7_16
https://doi.org/10.1007/978-3-030-86380-7_16