المؤلفون: Zhang, Xinyi, Zhao, Chenxu, Yang, Yun, Lin, Zhidi, Wang, Juntao, Yin, Feng

المصدر: 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP) Machine Learning for Signal Processing (MLSP), 2022 IEEE 32nd International Workshop on. :1-6 Aug, 2022

Relation: 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP)

المؤلفون: Suwandi, Richard Cornelius, Lin, Zhidi, Sun, Yiyong, Wang, Zhiguo, Cheng, Lei, Yin, Feng

المصدر: 2022 25th International Conference on Information Fusion (FUSION) Information Fusion (FUSION), 2022 25th International Conference on. :1-8 Jul, 2022

Relation: 2022 25th International Conference on Information Fusion (FUSION)

المؤلفون: Chen, Kai, van Laarhoven, Twan, Marchiori, Elena, Yin, Feng, Cui, Shuguang

المصدر: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2022 - 2022 IEEE International Conference on. :4148-4152 May, 2022

Relation: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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المؤلفون: Raj, Harsh^Aff11, Dey, Suvodip^Aff11, Gupta, Hiransh^Aff11, Srijith, P. K.^Aff11

المساهمون: Filipe, Joaquim, Editorial Board Member^Aff1, Ghosh, Ashish, Editorial Board Member^Aff2, Prates, Raquel Oliveira, Editorial Board Member^Aff3, Zhou, Lizhu, Editorial Board Member^Aff4, Yang, Haiqin, editor^Aff5, Pasupa, Kitsuchart, editor^Aff6, Leung, Andrew Chi-Sing, editor^Aff7, Kwok, James T., editor^Aff8, Chan, Jonathan H., editor^Aff9, King, Irwin, editor^Aff10

المصدر: Neural Information Processing : 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18–22, 2020, Proceedings, Part V. 1333:370-377

المؤلفون: Li-Fang Cheng, Bianca Dumitrascu, Gregory Darnell, Corey Chivers, Michael Draugelis, Kai Li, Barbara E Engelhardt

المصدر: BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-23 (2020)

مصطلحات موضوعية: Gaussian processes, Electronic health records, Sparse time series, Spectral mixture kernel, Computer applications to medicine. Medical informatics, R858-859.7

وصف الملف: electronic resource

Relation: http://link.springer.com/article/10.1186/s12911-020-1069-4; https://doaj.org/toc/1472-6947

URL الوصول: https://doaj.org/article/8d5f947de380430196f387e4535f136c

المؤلفون: Cheng, Li-Fang, Dumitrascu, Bianca, Darnell, Gregory, Chivers, Corey, Draugelis, Michael, Li, Kai, Engelhardt, Barbara E^{Aff4, Aff5}

المصدر: BMC Medical Informatics and Decision Making. 20(1)

المؤلفون: Cristian Torres-Valencia, Álvaro Orozco, David Cárdenas-Peña, Andrés Álvarez-Meza, Mauricio Álvarez

المصدر: Applied Sciences, Vol 10, Iss 19, p 6765 (2020)

مصطلحات موضوعية: brain electrical activity, spectral mixture kernel, gaussian processes, electroencephalography, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/10/19/6765; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/25291cbf41ba4954b36285deade0220e

المؤلفون: David Cárdenas-Peña, Andrés Marino Álvarez-Meza, Cristian A. Torres-Valencia, Alvaro A. Orozco, Mauricio A. Álvarez

المصدر: Applied Sciences
Volume 10
Issue 19
Torres-Valencia, C, Orozco, Á, Cárdenas-Peña, D, Álvarez-Meza, A & Álvarez, M 2020, ' A discriminative multi-output gaussian processes scheme for brain electrical activity analysis ', Applied Sciences (Switzerland), vol. 10, no. 19, 6765, pp. 1-15 . https://doi.org/10.3390/app10196765
Applied Sciences, Vol 10, Iss 6765, p 6765 (2020)

مصطلحات موضوعية: Covariance function, Computer science, 0206 medical engineering, Multispectral image, Gaussian processes, 02 engineering and technology, Electroencephalography, lcsh:Technology, brain electrical activity, lcsh:Chemistry, Set (abstract data type), 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, Discriminative model, spectral mixture kernel, medicine, General Materials Science, Segmentation, lcsh:QH301-705.5, Instrumentation, Gaussian process, Fluid Flow and Transfer Processes, medicine.diagnostic_test, lcsh:T, business.industry, Process Chemistry and Technology, General Engineering, gaussian processes, Pattern recognition, 020601 biomedical engineering, lcsh:QC1-999, Computer Science Applications, lcsh:Biology (General), lcsh:QD1-999, lcsh:TA1-2040, Kernel (statistics), symbols, Artificial intelligence, Brain electrical activity, lcsh:Engineering (General). Civil engineering (General), business, lcsh:Physics, 030217 neurology & neurosurgery, electroencephalography, Spectral mixture kernel

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13477d259eac1de8246a6ebbd4761ee6

المؤلفون: Kai Li, Barbara E. Engelhardt, Gregory Darnell, Li-Fang Cheng, Michael Draugelis, Bianca Dumitrascu, Corey Chivers

المصدر: BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-23 (2020)
BMC Medical Informatics and Decision Making

مصطلحات موضوعية: Computer science, Normal Distribution, Gaussian processes, Inference, Health Informatics, lcsh:Computer applications to medicine. Medical informatics, Machine learning, computer.software_genre, Sparse time series, 01 natural sciences, Health informatics, 010104 statistics & probability, 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, Covariate, Electronic health records, 0101 mathematics, Time series, Gaussian process, Models, Statistical, business.industry, Health Policy, Bayes Theorem, 030208 emergency & critical care medicine, Regression, Computer Science Applications, Reference data, Technical Advance, Kernel (statistics), symbols, lcsh:R858-859.7, Artificial intelligence, business, computer, Algorithms, Spectral mixture kernel

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be2d3474888062af1ec1c444e860ba1a
https://doi.org/10.1186/s12911-020-1069-4