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IEEE Transactions on Pattern Analysis and Machine Intelligence
|
November 17, 2015
Variational Inference for Watson Mixture Model
Jalil Taghia, Arne Leijon
Nature Communications
|
March 12, 2024
A multi-demand operating system underlying diverse cognitive tasks
Weidong Cai, Jalil Taghia, Vinod Menon
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
September 10, 2015
Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference
Jalil Taghia, Zhanyu Ma, Arne Leijon
Frontiers in Digital Health
|
March 6, 2023
Bayesian analysis of Ecological Momentary Assessment (EMA) data collected in adults before and after hearing rehabilitation
Arne Leijon, Petra von Gablenz, Inga Holube, et al.
International Journal of Molecular Sciences
|
June 18, 2014
Comparisons of non-Gaussian statistical models in DNA methylation analysis
Zhanyu Ma, Andrew E Teschendorff, Hong Yu, et al.
Neuroimage
|
March 8, 2017
Bayesian switching factor analysis for estimating time-varying functional connectivity in fMRI
Jalil Taghia, Srikanth Ryali, Tianwen Chen, et al.
Nature Communications
|
June 29, 2018
Uncovering hidden brain state dynamics that regulate performance and decision-making during cognition
Jalil Taghia, Weidong Cai, Srikanth Ryali, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
March 26, 2019
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling
Zhanyu Ma, Jiyang Xie, Yuping Lai, et al.
Scientific Reports
|
October 22, 2022
Development of forecast models for COVID-19 hospital admissions using anonymized and aggregated mobile network data
Jalil Taghia, Valentin Kulyk, Selim Ickin, et al.
Cerebral Cortex (New York, N.Y. : 1991)
|
February 27, 2023
Development of brain state dynamics involved in working memory
Ying He, Xinyuan Liang, Menglu Chen, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
November 17, 2015
Variational Inference for Watson Mixture Model
Jalil Taghia, Arne Leijon
Nature Communications
|
March 12, 2024
A multi-demand operating system underlying diverse cognitive tasks
Weidong Cai, Jalil Taghia, Vinod Menon
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
September 10, 2015
Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference
Jalil Taghia, Zhanyu Ma, Arne Leijon
Frontiers in Digital Health
|
March 6, 2023
Bayesian analysis of Ecological Momentary Assessment (EMA) data collected in adults before and after hearing rehabilitation
Arne Leijon, Petra von Gablenz, Inga Holube, et al.
International Journal of Molecular Sciences
|
June 18, 2014
Comparisons of non-Gaussian statistical models in DNA methylation analysis
Zhanyu Ma, Andrew E Teschendorff, Hong Yu, et al.
Neuroimage
|
March 8, 2017
Bayesian switching factor analysis for estimating time-varying functional connectivity in fMRI
Jalil Taghia, Srikanth Ryali, Tianwen Chen, et al.
Nature Communications
|
June 29, 2018
Uncovering hidden brain state dynamics that regulate performance and decision-making during cognition
Jalil Taghia, Weidong Cai, Srikanth Ryali, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
March 26, 2019
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling
Zhanyu Ma, Jiyang Xie, Yuping Lai, et al.
Scientific Reports
|
October 22, 2022
Development of forecast models for COVID-19 hospital admissions using anonymized and aggregated mobile network data
Jalil Taghia, Valentin Kulyk, Selim Ickin, et al.
Cerebral Cortex (New York, N.Y. : 1991)
|
February 27, 2023
Development of brain state dynamics involved in working memory
Ying He, Xinyuan Liang, Menglu Chen, et al.
Page
of 1