Transcriptomic pan‐cancer analysis using rank‐based Bayesian inference
Sign Up to like & getrecommendations! Published in 2022 at "Molecular Oncology"
DOI: 10.1002/1878-0261.13354
Abstract: The analysis of whole genomes of pan‐cancer data sets provides a challenge for researchers, and we contribute to the literature concerning the identification of robust subgroups with clear biological interpretation. Specifically, we tackle this unsupervised… read more here.
Keywords: pan cancer; analysis; based bayesian; rank based ... See more keywords
Surrogate‐based Bayesian calibration of biomechanical models with isotropic material behavior
Sign Up to like & getrecommendations! Published in 2022 at "International Journal for Numerical Methods in Biomedical Engineering"
DOI: 10.1002/cnm.3575
Abstract: This work introduces a computational methodology to calibrate material models in biomechanical applications under uncertainty. We adopt a Bayesian approach, which estimates the probability distributions of hyperelastic material parameters, based on force‐strain measurements. We approximate… read more here.
Keywords: bayesian calibration; surrogate based; methodology; based bayesian ... See more keywords
Model‐based Bayesian inference under computer assisted balance‐improving designs
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9508
Abstract: To improve covariate balance over a complete randomization, a number of methods have been proposed recently to utilize modern computational capabilities to find allocations with balance in observed covariates. Asymptotic inference on treatment effects based… read more here.
Keywords: balance; bayesian inference; based bayesian; inference ... See more keywords
Label denoising based on Bayesian aggregation
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-015-0474-y
Abstract: Label noise is a common problem that affects supervised learning and can produce misleading results. It is shown that only $$5\,\%$$5% of switched labels lead to a decrease of performances. Therefore, the true class of… read more here.
Keywords: label; bayesian aggregation; based bayesian; label denoising ... See more keywords
Survival in the Intensive Care Unit: A prognosis model based on Bayesian classifiers
Sign Up to like & getrecommendations! Published in 2021 at "Artificial intelligence in medicine"
DOI: 10.1016/j.artmed.2021.102054
Abstract: We develop a predictive prognosis model to support medical experts in their clinical decision-making process in Intensive Care Units (ICUs) (a) to enhance early mortality prediction, (b) to make more efficient medical decisions about patients… read more here.
Keywords: bayesian classifiers; based bayesian; intensive care; model ... See more keywords
Urban ecological risk transmission model based on Bayesian network
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2021.126559
Abstract: Abstract Simulating this ecological risk transmission process helps to judge the key path and propose the accurate urban risk control measures. This paper develops an urban ecological risk transmission conceptual framework based on Bayesian Network… read more here.
Keywords: risk transmission; based bayesian; urban ecological; risk ... See more keywords
Fish forewarning of comprehensive toxicity in water environment based on Bayesian sequential method.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of environmental sciences"
DOI: 10.1016/j.jes.2021.03.035
Abstract: Environmental impact of pollutants can be analyzed effectively by acquiring fish behavioral signals in water with biological behavior sensors. However, a variety of factors, such as the complexity of biological organisms themselves, the device error… read more here.
Keywords: bayesian sequential; water; fish behavioral; method ... See more keywords
Emulator-based Bayesian optimization for efficient multi-objective calibration of an individual-based model of malaria
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-27486-z
Abstract: Individual-based models have become important tools in the global battle against infectious diseases, yet model complexity can make calibration to biological and epidemiological data challenging. We propose using a Bayesian optimization framework employing Gaussian process… read more here.
Keywords: individual based; calibration; based bayesian; emulator based ... See more keywords
Model-based Bayesian signal extraction algorithm for peripheral nerves.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of neural engineering"
DOI: 10.1088/1741-2552/aa7d94
Abstract: OBJECTIVE Multi-channel cuff electrodes have recently been investigated for extracting fascicular-level motor commands from mixed neural recordings. Such signals could provide volitional, intuitive control over a robotic prosthesis for amputee patients. Recent work has demonstrated… read more here.
Keywords: model based; bayesian signal; motor; based bayesian ... See more keywords
SpinDrop: Dropout-Based Bayesian Binary Neural Networks With Spintronic Implementation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2023.3242146
Abstract: Neural Networks (NNs) provide an effective solution in numerous application domains, including autonomous driving and medical applications. Nevertheless, NN predictions can be incorrect if the input sample is outside of the training distribution or contaminated… read more here.
Keywords: dropout based; neural networks; uncertainty; based bayesian ... See more keywords
Fast Finite Frame Length IRSA Optimization Based on Bayesian Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3161628
Abstract: Simplified packet reception models such as collision model are usually adopted for optimizing irregular repetition slotted ALOHA (IRSA), which may lead to performance penalty due to its poor accuracy. In this letter, we consider the… read more here.
Keywords: irsa optimization; based bayesian; frame length; finite frame ... See more keywords