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Umibato: estimation of time-varying microbial interaction using continuous-time regression hidden Markov model


Umibato: estimation of time-varying microbial interaction using continuous-time regression hidden Markov model

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A network embedding-enhanced Bayesian model for generalized community detection in complex networks


A probabilistic framework to incorporate mixed-data type features: Matrix factorization with multimodal side information

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Motor imagery-based neuro-feedback system using neuronal excitation of the active synapses


Motor imagery-based neuro-feedback system using neuronal excitation of the active synapses


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Bayesian machine learning analysis of single-molecule fluorescence colocalization images


Collaborative Positioning Mechanism Using Bayesian Probabilistic Models for Industry Verticals

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Lessons learned and lessons missed: Impact of the Covid-19 pandemic on all-cause mortality in 40 industrialised countries prior to mass vaccination


Lessons learned and lessons missed: impact of the coronavirus disease 2019 (COVID-19) pandemic on all-cause mortality in 40 industrialised countries prior to mass vaccination

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Editorial: Uncertainty Visualization and Decision Making


Umibato: estimation of time-varying microbial interaction using continuous-time regression hidden Markov model

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IWSHM 2019: Perturbation-based Bayesian damage identification using responses at vibration nodes


Optimal positioning of water quality sensors in sewer during dry and wet weather

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On the Use of Mechanistic Soil–Plant Uptake Models: A Comprehensive Experimental and Numerical Analysis on the Translocation of Carbamazepine in Green Pea Plants


A Bayesian method for synthesizing multiple diagnostic outcomes of COVID-19 tests

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BISMF Algorithm based on Probability Matrix Decomposition Model


MPI Collectives for Multi-core Clusters: Optimized Performance of the Hybrid MPI+MPI Parallel Codes

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Understanding trade-offs and synergies of ecosystem services to support the decision-making in the Beijing–Tianjin–Hebei region


Modeling layout design for multiple-view visualization via Bayesian inference

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Overwatch-M System: Implementation of Bayesian Statistics for Assessment of Sensorimotor Control


Heterogeneous sensor fusion based on Copula theory and importance sampling

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Information Technologies for Learning Principles of Fault-Tolerant Systems


I-PINE web server: an integrative probabilistic NMR assignment system for proteins

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Motor imagery-based neuro-feedback system using neuronal excitation of the active synapses


Motor imagery-based neuro-feedback system using neuronal excitation of the active synapses

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CUP: Cellular Ultra-light Probe-based Available Bandwidth Estimation


Characterization of Historical Methane Occurrence Frequencies from U.S. Underground Natural Gas Storage Facilities with Implications for Risk Management, Operations, and Regulatory Policy.

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Bayesian pharmacokinetic modeling of dynamic contrast-enhanced magnetic resonance imaging: validation and application.


On-line Dynamic Sparse Recovery of Streaming Signals from Correlated Multiple Measurements

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Projecting the demographic impact of Syrian migration in a rapidly ageing society, Germany


Projecting the demographic impact of Syrian migration in a rapidly ageing society, Germany

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Bayesian probabilistic forecasting with large-scale educational trend data: a case study using NAEP


Abatement of atmospheric pollutant emissions with autonomous shipping in maritime transportation using Bayesian probabilistic forecasting

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Bounds optimization of model response moments: a twin-engine Bayesian active learning method


An Optimized Positioning Algorithm Based on Improved Gaussian Filtering


Predictive Adaptive Test with Selective Weighted Bayesian Through Questions and Answers Patterns to Measure Student Competency Levels


Bayesian Probabilistic 베이지안 확률


Bayesian Probabilistic 베이지안 확률
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