Leveraging Bayesian Multinomial Models for Effective Targeted Cyber-Deception Strategies

Authors: Sharmin, Nazia, Kiekintveld, Christopher

Source: 2024 19th Annual System of Systems Engineering Conference (SoSE) Systems Engineering Conference (SoSE), 2024 19th Annual System of. :78-83 Jun, 2024

Relation: 2024 19th Annual System of Systems Engineering Conference (SoSE)

Interactive Bayesian Generative Models for Abnormality Detection in Vehicular Networks

Authors: William, Nobel J., Krayani, Ali, Marcenaro, Lucio, Regazzoni, Carlo

Source: 2024 IEEE Wireless Communications and Networking Conference (WCNC) Wireless Communications and Networking Conference (WCNC), 2024 IEEE. :1-7 Apr, 2024

Relation: 2024 IEEE Wireless Communications and Networking Conference (WCNC)

Statistical Hardware Design With Multimodel Active Learning

Authors: Ghaffari, A., Asgharian, M., Savaria, Y.

Source: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst. Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on. 43(2):562-572 Feb, 2024

Optimal allocation of resources between control and surveillance for complex eradication scenarios

Authors: Mahdi Parsa, David Ramsey, Belinda Barnes

Source: Methods in Ecology and Evolution, Vol 16, Iss 2, Pp 388-399 (2025)

Subject Terms: Bayesian models, invasive species eradication, resource allocation, Shannon entropy, value of perfect information, Ecology, QH540-549.5, Evolution, QH359-425

File Description: electronic resource

Relation: https://doaj.org/toc/2041-210X

Access URL: https://doaj.org/article/ca5b67a7579f434884b095b2451895d2

Yes, they're all individuals: Hierarchical models for repeat survey data improve estimates of tree growth and size

Authors: Tess O'Brien, David Warton, Daniel Falster

Source: Methods in Ecology and Evolution, Vol 16, Iss 1, Pp 183-196 (2025)

Subject Terms: Bayesian models, forest ecology, growth modelling, repeat measurement surveys, Ecology, QH540-549.5, Evolution, QH359-425

File Description: electronic resource

Relation: https://doaj.org/toc/2041-210X

Access URL: https://doaj.org/article/efcc3c22cf3b451f997c6a599735fe47

Image Forest Fire Segmentation Using Dirichlet Process Mixture Model

Authors: Khorchef, Mohammed, Ramou, Naim, Boutiche, Yamina, Guessoum, Abderrezak, Chetih, Nabil

Source: 2023 International Conference on Advances in Electronics, Control and Communication Systems (ICAECCS) Advances in Electronics, Control and Communication Systems (ICAECCS), 2023 International Conference on. :1-5 Mar, 2023

Relation: 2023 International Conference on Advances in Electronics, Control and Communication Systems (ICAECCS)

Advanced Techniques to Predict and Detect Cloud System Failure: A Survey

Authors: Ramoliya, Dipak, Patel, Akash, Patel, Khushi, Patel, Gaurang, Vaghela, Priyalba, Budhrani, Aishwariya

Source: 2022 6th International Conference on Electronics, Communication and Aerospace Technology Electronics, Communication and Aerospace Technology (ICECA), 2022 6th International Conference on. :788-793 Dec, 2022

Relation: 2022 6th International Conference on Electronics, Communication and Aerospace Technology (ICECA)

Bayesian Spatial Methods and Public Opinion of Geographical Areas

Authors: Bao, Le, Carson, Jamie L., Gill, Jeff

Contributors: Box-Steffensmeier, Janet M., book editor, Christenson, Dino P., book editor, Sinclair-Chapman, Valeria, book editor

Source: Oxford Handbook of Engaged Methodological Pluralism in Political Science.

Availability: https://doi.org/10.1093/oxfordhb/9780192868282.013.34

Using dynamic Bayesian belief networks to infer the effects of climate change and human activities on changes in regional ecosystem services

Authors: Haoran Yu, Junyi Jiang, Xinchen Gu, Chunwu Cao, Cheng Shen

Source: Ecological Indicators, Vol 170, Iss , Pp 113023- (2025)

Subject Terms: Ecosystem service management, Dynamic Bayesian models, Generalized additive models, Human activities, Climate change, Ecology, QH540-549.5

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1470160X24014808; https://doaj.org/toc/1470-160X

Access URL: https://doaj.org/article/539d9298850641868b53c51dfc8e2759

Clustering and unconstrained ordination with Dirichlet process mixture models

Authors: Christian Stratton, Andrew Hoegh, Thomas J. Rodhouse, Jennifer L. Green, Katharine M. Banner, Kathryn M. Irvine

Source: Methods in Ecology and Evolution, Vol 15, Iss 9, Pp 1720-1732 (2024)

Subject Terms: clustering, dimension reduction, Dirichlet process mixture models, hierarchical Bayesian models, latent variable models, ordination, Ecology, QH540-549.5, Evolution, QH359-425

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Relation: https://doaj.org/toc/2041-210X

Access URL: https://doaj.org/article/395da2cb7732464f8331d9f96fbb2922

Rapid Risk Minimization with Bayesian Models Through Deep Learning Approximation

Authors: Lowe, Mathias, Lunnemann, Per, Risi, Sebastian

Source: 2021 International Joint Conference on Neural Networks (IJCNN) Neural Networks (IJCNN), 2021 International Joint Conference on. :1-8 Jul, 2021

Relation: 2021 International Joint Conference on Neural Networks (IJCNN)

Speech Prediction in Silent Videos Using Variational Autoencoders

Authors: Yadav, Ravindra, Sardana, Ashish, Namboodiri, Vinay P, Hegde, Rajesh M

Source: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2021 - 2021 IEEE International Conference on. :7048-7052 Jun, 2021

Relation: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Non-Parametric Bayesian Subspace Models for Acoustic Unit Discovery

Authors: Ondel, L., Yusuf, B., Burget, L., Saraclar, M.

Source: IEEE/ACM Transactions on Audio, Speech, and Language Processing IEEE/ACM Trans. Audio Speech Lang. Process. Audio, Speech, and Language Processing, IEEE/ACM Transactions on. 30:1902-1917 2022

Therapeutic Drug Monitoring and Pharmacokinetics-Based Individualization of Drug Therapy

Contributors: Vasarhelyi, Barna, Karvaly, Gellért Balázs

Subject Terms: ganciclovir, lung transplant recipients, cystic fibrosis, therapeutic drug monitoring, covariates, haloperidol, pharmacokinetics, delirium, critical ill, ICU, dapagliflozin, linagliptin, fixed-dose combination products, bioequivalence, busulfan, sulfolane, myelofibrosis, population pharmacokinetics, heart transplantation, acute rejection, tacrolimus, endomyocardial biopsies, pharmacokinetic interactions, heart transplant, precision medicine, clinical practice, gentamicin, population pharmacokinetic modeling, external evaluation, model re-estimation, dosing nomogram, long-acting antiretroviral therapy, cabotegravir, rilpivirine, pharmacokinetic simulation, TDM, plasma level, PK/PD, dose–effect relationship, LC–MS/MS, CFTR modulators, caftor, ivacaftor, lumacaftor, tezacaftor, elexacaftor, population pharmacokinetic, rivaroxaban, atrial fibrillation, direct oral anticoagulants, Thai patient, tobramycin, model-informed precision dosing, dalbavancin, long-acting, Gram-positive, osteoarticular infections, laparoscopic sleeve gastrectomy, omeprazole, modeling and simulation, obesity, treatment efficacy, medication adherence, schizophrenia spectrum and other psychotic disorders, bipolar and related disorders, depressive disorder, cefiderocol, antibiotics, drug monitoring, isavuconazole, pediatric, pharmacodynamics, Bayesian, fungal infection, outcomes, oral anticancer drugs, oncology, imatinib, precision pharmacotherapy, cerebrospinal fluid, methotrexate, children, acute lymphoid leukemia, external validation, non-infectious uveitis (NIU), therapeutic drug monitoring (TDM), pharmacogenetics, biological therapy, limited sampling strategies, population pharmacokinetic modelling, semi-parametric simulation, robustness, area under the curve, AUC, glomerular filtration rate, GFR, tuberculosis, rifampicin, dried blood spots, limited-sampling strategy, pharmacokinetic boosting, pharmacokinetic enhancement, ritonavir, cobicistat, kinase inhibitors, small molecule kinase inhibitors, critical illness, sepsis, kidney injury, biomarkers, pediatric pharmacology, Bayesian estimation, piperacillin, tazobactam, nonparametric adaptive grid, Bayesian models, intensive care, Medicine and Nursing, Pharmacology

File Description: application/octet-stream

Access URL: https://directory.doabooks.org/handle/20.500.12854/143737
https://mdpi.com/books/pdfview/book/9781

A review of Bayesian-filtering-based techniques in RUL prediction for Lithium-Ion batteries

Authors: Khine, May Htet Htet ^a, Kim, Cheong Ghil ^b, Aunsri, Nattapol ^{a, c, ⁎}

Source: In Journal of Energy Storage 1 March 2025 111

Metacognition in the listening brain

Authors: Obleser, Jonas ^{1, 2, ⁎}

Source: In Trends in Neurosciences February 2025 48(2):100-112

Hierarchical Bayesian semi-parametric models for measurement error correction in determining optimal fertilizer application levels

Authors: Amos Kipkorir Langat, Samuel Musili Mwalili, Lawrence Ndekeleni Kazembe

Source: Scientific African, Vol 26, Iss , Pp e02423- (2024)

Subject Terms: Hierarchical Bayesian models, Measurement error correction, Semi-parametric approach fertilizer, Agricultural data analysis, Uansin Ngishu County, Kenya, Science

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S246822762400365X; https://doaj.org/toc/2468-2276

Access URL: https://doaj.org/article/38a93957a16a4e94959ce9480be7a30f

Liana versus tree seedling responses to spatial and temporal variation in dry season severity

Authors: Sergio Estrada‐Villegas, Luke Browne, Eric Manzané‐Pinzón, Liza S. Comita

Source: Ecosphere, Vol 15, Iss 11, Pp n/a-n/a (2024)

Subject Terms: 2015–2016 El Niño event, dry season severity, extreme drought, growth, hierarchical Bayesian models, mortality, Ecology, QH540-549.5

File Description: electronic resource

Relation: https://doaj.org/toc/2150-8925

Access URL: https://doaj.org/article/9b1b3f7d5f9f4214b076f12948176bb0

Comparative Performance of Collaborative Filtering Recommendations Methods for Explaining Recommendations

Authors: Valdiviezo-Diaz, Priscila, Ortega, Fernando

Source: 2020 International Conference of Digital Transformation and Innovation Technology (Incodtrin) INCODTRIN Digital Transformation and Innovation Technology (Incodtrin), 2020 International Conference of. :129-134 Oct, 2020

Relation: 2020 International Conference of Digital Transformation and Innovation Technology (Incodtrin)

Modelling time series with temporal and spatial correlations in transport planning using hierarchical ARIMA-copula Model: A Bayesian approach

Authors: Shahriari, Siroos ^{a, ⁎}, Sisson, S.A. ^{b, c}, Rashidi, Taha ^a

Source: In Expert Systems With Applications 15 May 2025 274