المؤلفون: Miller, Noah, Drumm, Glen Ryan, Champagne, Lance, Cox, Bruce, Bihl, Trevor

المصدر: Journal of Defense Analytics and Logistics, 2024, Vol. 8, Issue 2, pp. 143-159.

URL الوصول: http://www.emeraldinsight.com/doi/10.1108/JDAL-09-2023-0010

المؤلفون: Noah Miller, Glen Ryan Drumm, Lance Champagne, Bruce Cox, Trevor Bihl

المصدر: Journal of Defense Analytics and Logistics, Vol 8, Iss 2, Pp 143-159 (2024)

مصطلحات موضوعية: Computer vision, Bayesian neural networks, Video classification, Military Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2399-6439

URL الوصول: https://doaj.org/article/c1302ff3652444f6b64d80d52452c0dc

المؤلفون: Lebede Ngartera, Mahamat Ali Issaka, Saralees Nadarajah

المصدر: Machine Learning and Knowledge Extraction, Vol 6, Iss 4, Pp 2639-2658 (2024)

مصطلحات موضوعية: Bayesian Neural Networks (BNNs), predictive modeling, healthcare, diabetes, Alzheimer’s disease, HbA1c, Computer engineering. Computer hardware, TK7885-7895

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2504-4990/6/4/127; https://doaj.org/toc/2504-4990

URL الوصول: https://doaj.org/article/f038bcef3450413c9c9f433cd2bc35c5

المؤلفون: Lißner Julian, Fritzen Felix

المصدر: Advanced Modeling and Simulation in Engineering Sciences, Vol 11, Iss 1, Pp 1-37 (2024)

مصطلحات موضوعية: Microstructure homogenization, Convolutional neural networks, Feature engineering, Bayesian neural networks, Machine learning, Mechanics of engineering. Applied mechanics, TA349-359, Systems engineering, TA168

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2213-7467

URL الوصول: https://doaj.org/article/0d3faef4a3ee4e79be0c362dd5ca2e20

المؤلفون: Rosa Aghdam, Xudong Tang, Shan Shan, Richard Lankau, Claudia Solís-Lemus

المصدر: BMC Bioinformatics, Vol 25, Iss 1, Pp 1-33 (2024)

مصطلحات موضوعية: Soil microbiome, Phenotype prediction, Microbiome networks analysis, Machine learning, Bayesian neural networks, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1471-2105

URL الوصول: https://doaj.org/article/6525ebd742914ad1aa1c5a17ca490b4f

المؤلفون: Albert Whata, Katlego Dibeco, Kudakwashe Madzima, Ibidun Obagbuwa

المصدر: Frontiers in Artificial Intelligence, Vol 7 (2024)

مصطلحات موضوعية: uncertainty quantification deep neural networks, Bayesian neural networks, Monte Carlo dropout, Ensemble Monte Carlo, chest-X-ray, classification metrics, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/frai.2024.1410841/full; https://doaj.org/toc/2624-8212

URL الوصول: https://doaj.org/article/c282d649d37a4e37a39e54b04e4284bd

المؤلفون: Longze Li, Jiang Chang, Aleksandar Vakanski, Yachun Wang, Tiankai Yao, Min Xian

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)

مصطلحات موضوعية: Uncertainty quantification, Bayesian neural networks, Active learning, Creep life, Physics-informed machine learning, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/8afafdddc7b945d58ed0f1759471b450

المؤلفون: Jim Beckers, Bart Van Erp, Ziyue Zhao, Kirill Kondrashov, Bert De Vries

المصدر: IEEE Open Journal of Signal Processing, Vol 5, Pp 195-203 (2024)

مصطلحات موضوعية: Bayesian model reduction, Bayesian neural networks, parameter pruning, variational free energy, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10334001/; https://doaj.org/toc/2644-1322

URL الوصول: https://doaj.org/article/3bf40b51c4d14a3abb46257d6fa8a780

المؤلفون: Chang Ming-Yu, Tian Le, Maozu Guo

المصدر: IEEE Access, Vol 12, Pp 33792-33802 (2024)

مصطلحات موضوعية: Equipment operational trend prediction, neural networks, Bayesian neural networks, attention mechanism, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10440339/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/997c7fc91e814fe0aae8794ed2d81b6c

المؤلفون: Rohitash Chandra, Joshua Simmons

المصدر: IEEE Access, Vol 12, Pp 70519-70549 (2024)

مصطلحات موضوعية: MCMC, Bayesian deep learning, Bayesian neural networks, Bayesian linear regression, Bayesian inference, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10530647/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/97c3f491dc4e4bc89e550790dd000d61

المؤلفون: Emad Efatinasab, Alberto Sinigaglia, Nahal Azadi, Gian Antonio Susto, Mirco Rampazzo

المصدر: IEEE Access, Vol 12, Pp 121169-121184 (2024)

مصطلحات موضوعية: Adversarial attacks, Bayesian neural networks, fault prediction, smart grids, uncertainty quantification, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10659889/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/2343d79f5c7746889d47b53a450a68c1

المؤلفون: Jacob R. Epifano, Timothy Duong, Ravi P. Ramachandran, Ghulam Rasool

المصدر: IEEE Access, Vol 12, Pp 150953-150961 (2024)

مصطلحات موضوعية: Bayesian neural networks, transformers, imagenet, pruning, uncertainty, supervised learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10716370/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/bbb458a5c00647f3a06e108ae5019383

المؤلفون: Norbert Pirk, Kristoffer Aalstad, Erik Schytt Mannerfelt, François Clayer, Heleen deWit, Casper T. Christiansen, Inge Althuizen, Hanna Lee, Sebastian Westermann

المصدر: Geophysical Research Letters, Vol 51, Iss 10, Pp n/a-n/a (2024)

مصطلحات موضوعية: carbon fluxes, permafrost degradation, Bayesian neural networks, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://doaj.org/toc/0094-8276; https://doaj.org/toc/1944-8007

URL الوصول: https://doaj.org/article/4bf78196abe743629c83cefeb4b0ac04

المؤلفون: Garriga Alonso, Adrià

المساهمون: Rasmussen, Carl

مصطلحات موضوعية: Bayesian neural networks, Machine learning, Gaussian processes, Infinitely wide neural networks, Cold-posterior effect, Convolutional neural networks, Bayesian statistics, Neural tangent kernel

URL الوصول: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.871648

المؤلفون: de Mathelin, Antoine, Deheeger, François, Mougeot, Mathilde, Vayatis, Nicolas

المساهمون: CB - Centre Borelli - UMR 9010 (CB), Service de Santé des Armées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Ecole Normale Supérieure Paris-Saclay (ENS Paris Saclay)-Université Paris Cité (UPCité), Manufacture Française des Pneumatiques Michelin (Michelin)

المصدر: https://hal.science/hal-04455967 ; 2024.

مصطلحات موضوعية: Epistemic Uncertainty Out-of-distribution detection Deep Ensemble Bayesian Neural Networks Maximum Entropy, Epistemic Uncertainty, Out-of-distribution detection, Deep Ensemble, Bayesian Neural Networks, Maximum Entropy, [INFO]Computer Science [cs]

Relation: info:eu-repo/semantics/altIdentifier/arxiv/2309.15704; hal-04455967; https://hal.science/hal-04455967; https://hal.science/hal-04455967/document; https://hal.science/hal-04455967/file/2309.15704.pdf; ARXIV: 2309.15704

الاتاحة: https://hal.science/hal-04455967
https://hal.science/hal-04455967/document
https://hal.science/hal-04455967/file/2309.15704.pdf

المؤلفون: Das, Laya, Gjorgiev, Blazhe, id_orcid:0 000-0001-8759-9324, Sansavini, Giovanni, id_orcid:0 000-0002-8801-9667

المصدر: Reliability Engineering & System Safety, 251

مصطلحات موضوعية: Uncertainty quantification, Assumed density filtering, Bayesian neural networks, Heteroskedastic neural networks

وصف الملف: application/application/pdf

Relation: info:eu-repo/semantics/altIdentifier/wos/001284309100001; http://hdl.handle.net/20.500.11850/686840

الاتاحة: https://hdl.handle.net/20.500.11850/686840
https://doi.org/10.3929/ethz-b-000686840

المؤلفون: Davalos-Guzman, J, Chavez-Hurtado, JL, Brito-Brito, Z

المصدر: Micromachines, 15(5), 647, (2024-01-01)

مصطلحات موضوعية: Bayesian networks, Clustering algorithms, Diagnosis, Errors, High pass filters, Knowledge based systems, Learning algorithms, Low pass filters, Machine learning, Mean square error, Neural networks, Petroleum reservoir evaluation, Advanced low-pass filter simulation, Bayesian neural network, Bayesian neural networks, Behavior analysis, COMSOL multiphysic predictive modeling, Data-driven design, Data-driven design and simulation enhancement, Data-driven simulation, Design and simulation, Electromagnetic analyse optimization, Electromagnetic analysis, Electromagnetic behavior, Electromagnetic designs, Electronic filters, High-dimensional data analyse in electronic, High-dimensional data analysis, Latin hypercube sampling, Latin hypercube sampling technique

Relation: https://doi.org/10.3390/mi15050647; oai:zenodo.org:13868886

الاتاحة: https://doi.org/10.3390/mi15050647

المؤلفون: Barros, José, Chiachío Ruano, Manuel, Fernández, Juan, Morillas Romero, Leandro, Consuegra, Joel

المساهمون: Chiachío, Manuel

مصطلحات موضوعية: Masonry infilled frames, Bayesian neural networks, Hamiltonian Monte-Carlo, Shear seismic response, Safety assessment

Relation: https://hdl.handle.net/10481/93948

الاتاحة: https://hdl.handle.net/10481/93948

المؤلفون: S Bieringer, S Diefenbacher, G Kasieczka, M Trabs

المصدر: Machine Learning: Science and Technology, Vol 5, Iss 4, p 045044 (2024)

مصطلحات موضوعية: Bayesian neural networks, generative neural networks, data amplification, fast detector simulation, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

Relation: https://doi.org/10.1088/2632-2153/ad9136; https://doaj.org/toc/2632-2153; https://doaj.org/article/47bf34924b6f41b7b4f4fdb113650dd8

الاتاحة: https://doi.org/10.1088/2632-2153/ad9136
https://doaj.org/article/47bf34924b6f41b7b4f4fdb113650dd8

المؤلفون: Rodríguez Santana, Simón, Hernández Lobato, Daniel

المساهمون: UAM. Departamento de Ingeniería Informática

مصطلحات موضوعية: Bayesian Neural Networks, Approximate Inference, Alpha Divergences, Adversarial Variational Bayes, Informática

وصف الملف: application/pdf

Relation: Neurocomputing; https://doi.org/10.1016/j.neucom.2020.09.076; Gobierno de España. PID2019-106827 GB-I00; Gobierno de España. TIN2016-76406-P; Neurocomputing 471 (2022): 260-274; 0925-2312 (print); 1872-8286 (online); http://hdl.handle.net/10486/711383; 260; 274; 471

الاتاحة: http://hdl.handle.net/10486/711383
https://doi.org/10.1016/j.neucom.2020.09.076