Label dependency modeling in Multi-Label Naïve Bayes through input space expansion. [PDF]
Chitra P +3 more
europepmc +1 more source
Improving Gaussian Naive Bayes classification on imbalanced data through coordinate-based minority feature mining. [PDF]
Wang W, Yan L, Liu F, Li Y.
europepmc +1 more source
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam +3 more
wiley +1 more source
MNBC: a multithreaded Minimizer-based Naïve Bayes Classifier for improved metagenomic sequence classification. [PDF]
Lu R +13 more
europepmc +1 more source
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Naïve Bayes Classifiers and accompanying dataset for Pseudomonas syringae isolate characterization. [PDF]
Fautt C, Couradeau E, Hockett KL.
europepmc +1 more source
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam +9 more
wiley +1 more source
GAN-Augmented Naïve Bayes for identifying high-risk coronary artery disease patients using CT angiography data. [PDF]
Zhang L, Haldorai A, Naik N.
europepmc +1 more source
ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan +4 more
wiley +1 more source
Classification of short-term flood events using stochastic variable selection and Gaussian Naïve Bayes classifier: A case study of Sirajganj district, Bangladesh. [PDF]
Mondal C, Uddin MJ.
europepmc +1 more source

