Vehicle Lane Change Prediction based on Knowledge Graph Embeddings and Bayesian Inference

Authors: Manzour, M., Ballardini, A., Izquierdo, R., Sotelo, M. A.

Source: 2024 IEEE Intelligent Vehicles Symposium (IV) Intelligent Vehicles Symposium (IV), 2024 IEEE. :1893-1900 Jun, 2024

Relation: 2024 IEEE Intelligent Vehicle Symposium (IV)

A Multi-Agent Based Algorithm for Quadratic Assignment Problem

Authors: Soto, Daniel, Soto, Wilson

Source: 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI) Computational Intelligence (LA-CCI), 2023 IEEE Latin American Conference on. :1-6 Oct, 2023

Relation: 2023 IEEE Latin American Conference on Computational Intelligence (LA-CCI)

Application of Bayesian Network in Performance Evaluation of Talents with Five Dimensions

Authors: Jianjiang, Zheng, Yan, Liu

Source: 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC) Information Technology and Mechatronics Engineering Conference (ITOEC), 2022 IEEE 6th. 6:791-795 Mar, 2022

Relation: 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC)

The Application of Bayesian Network in Higher Vocational Students' Choice of Professional Direction

Authors: Jianjiang, Zheng, Xiaoning, Wang

Source: 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA) Information Technology, Big Data and Artificial Intelligence (ICIBA), 2021 IEEE 2nd International Conference on. 2:973-977 Dec, 2021

Relation: 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA)

Prediction of Electricity Demand Considering Interactions among Economic Factors Using a Bayesian Least Squares Support Vector Machine Method

Authors: Zhang, Y, Liu, J, Li, X

Source: 2021 5th International Conference on Power and Energy Engineering (ICPEE) Power and Energy Engineering (ICPEE), 2021 5th International Conference on. :165-168 Dec, 2021

Relation: 2021 5th International Conference on Power and Energy Engineering (ICPEE)

Fault detection and isolation for wastewater treatment plants using interval prediction and Bayesian reasoning

Authors: Liu, Tong, Chai, Wei

Source: 2021 40th Chinese Control Conference (CCC) Chinese Control Conference (CCC), 2021 40th. :4491-4496 Jul, 2021

Relation: 2021 40th Chinese Control Conference (CCC)

Evaluating script concordance tests (SCTs) through the lens of Bayesian reasoning: Enhancing assessment in medical education

Authors: Dauchet, Luc ^{a, b}, Bentegeac, Raphaël ^{a, b}, Ghauss, Haress ^{a, b}, Hazzan, Marc ^d, Truffert, Patrick ^c, Amouyel, Philippe ^{a, b}, Gauthier, Victoria ^{a, b}, Hamroun, Aghiles ^{a, b, ⁎}

Source: In Journal of Epidemiology and Population Health February 2025 73(1)

How to teach Bayesian reasoning: An empirical study comparing four different probability training courses

Authors: Steib, Nicole ^{a, ⁎}, Büchter, Theresa ^b, Eichler, Andreas ^b, Binder, Karin ^c, Krauss, Stefan ^a, Böcherer-Linder, Katharina ^d, Vogel, Markus ^e, Hilbert, Sven ^f

Source: In Learning and Instruction February 2025 95

Corrigendum: How general is the natural frequency effect? The case of joint probabilities

Authors: Nathalie Stegmüller, Karin Binder, Stefan Krauss

Source: Frontiers in Psychology, Vol 15 (2024)

Subject Terms: joint probabilities, Bayesian reasoning, natural frequencies, visualization, net diagram, Psychology, BF1-990

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1515434/full; https://doaj.org/toc/1664-1078

Access URL: https://doaj.org/article/5ccb82ef16d44a8ca6c5c5f455310ae1

Research on Cognitive Diagnosis System Based on Production and Education Integration in Wind Power Operation and Maintenance

Authors: Chen, Yueping, Duan, Bin, Li, Tao

Source: 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC) PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2019 IEEE. :1-5 Dec, 2019

Relation: 2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

The NNBC Anti-DDoS Firewall

Authors: Frazier, Gregory L., McGill, Jacob A., Zarookian, Ruffy, Robertson, Seth, Floyd, Benjamin, McNeely, Patrick M.

Source: MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM) Military Communications Conference (MILCOM), MILCOM 2019 - 2019 IEEE. :1-7 Nov, 2019

Relation: MILCOM 2019 - 2019 IEEE Military Communications Conference (MILCOM)

Vehicle Disambiguation from Multiple Observations

Authors: Wyatt, Madison, Perkins, Luke, Subramanian, Gokul, Carpenter, Sarah, Braun, Michael, Coraluppi, Stefano

Source: 2019 22th International Conference on Information Fusion (FUSION) Information Fusion (FUSION), 2019 22th International Conference on. :1-8 Jul, 2019

Relation: 2019 22th International Conference on Information Fusion (FUSION)

Image Recognition as a 'Dialogic AI Partner' Within Biodiversity Citizen Science—an empirical investigation

Authors: Nirwan Sharma, Laura Colucci-Gray, Poppy Lakeman-Fraser, Annie Robinson, Julie Newman, René Van der Wal, Stefan Rueger, Advaith Siddharthan

Source: Citizen Science: Theory and Practice, Vol 9, Iss 1, Pp 35-35 (2024)

Subject Terms: biodiversity citizen science, dialogism, human-ai collaboration, species identification, machine learning, bayesian reasoning, image recognition, Science

File Description: electronic resource

Relation: https://account.theoryandpractice.citizenscienceassociation.org/index.php/up-j-cstp/article/view/735; https://doaj.org/toc/2057-4991

Access URL: https://doaj.org/article/fb4d466a3b7d48968dd3619e7f83220c

When intuitive Bayesians need to be good readers: The problem-wording effect on Bayesian reasoning

Authors: Sirota, Miroslav ^{a, ⁎}, Navarrete, Gorka ^b, Juanchich, Marie ^a

Source: In Cognition April 2024 245

Intelligent optimal layout of drainage pipe network monitoring points based on information entropy theory

Authors: Min He, Yibo Zhang, Zhaoxi Ma, Qin Zhao

Source: Frontiers in Environmental Science, Vol 12 (2024)

Subject Terms: pipe network, optimization of monitoring points, information entropy, Bayesian reasoning, pollution source tracking, Environmental sciences, GE1-350

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fenvs.2024.1401942/full; https://doaj.org/toc/2296-665X

Access URL: https://doaj.org/article/a29f4c30d9cf40a8a5c2755647c3f352

How general is the natural frequency effect? The case of joint probabilities

Authors: Nathalie Stegmüller, Karin Binder, Stefan Krauss

Source: Frontiers in Psychology, Vol 15 (2024)

Subject Terms: joint probabilities, Bayesian reasoning, natural frequencies, visualization, net diagram, Psychology, BF1-990

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1296359/full; https://doaj.org/toc/1664-1078

Access URL: https://doaj.org/article/42a78bdcf1d94e129d9594b29ac03ed4

A Sample-Free Bayesian-Like Model for Indoor Environment Recognition

Authors: Oyebode, K., Du, S., Van Wyk, B.J., Djouani, K.

Source: IEEE Access Access, IEEE. 7:79783-79790 2019

Inconclusive decisions and error rates in forensic science

Authors: H. Swofford, S. Lund, H. Iyer, J. Butler, J. Soons, R. Thompson, V. Desiderio, J.P. Jones, R. Ramotowski

Source: Forensic Science International: Synergy, Vol 8, Iss , Pp 100472- (2024)

Subject Terms: Forensic science, Error rates, Inconclusives, Likelihood ratio, Validation data, Bayesian reasoning, Criminal law and procedure, K5000-5582

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2589871X24000196; https://doaj.org/toc/2589-871X

Access URL: https://doaj.org/article/7adb639817594484a183b00282ffd75e

Leak localization in water distribution networks using model-based Bayesian reasoning

Authors: Soldevila, Adria, Fernandez-Canti, Rosa M., Blesa, Joaquim, Tornil-Sin, Sebastian, Puig, Vicenc

Source: 2016 European Control Conference (ECC) Control Conference (ECC), 2016 European. :1758-1763 Jun, 2016

Relation: 2016 European Control Conference (ECC)

Boosting for insight and/or boosting for agency? How to maximize accurate test interpretation with natural frequencies

Authors: Markus A. Feufel, Niklas Keller, Friederike Kendel, Claudia D. Spies

Source: BMC Medical Education, Vol 23, Iss 1, Pp 1-10 (2023)

Subject Terms: Test interpretation, Bayesian reasoning, Natural frequencies, Boosting, Nudging, Special aspects of education, LC8-6691, Medicine

File Description: electronic resource

Relation: https://doaj.org/toc/1472-6920

Access URL: https://doaj.org/article/14215e6de51548cc82a1f002cdb7df73