Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modeling

KW De Bock, A De Caigny - Decision Support Systems, 2021 - Elsevier
An important business domain that relies heavily on advanced statistical-and machine
learning algorithms to support operational decision-making is customer retention …

Machine learning algorithms for diabetes detection: a comparative evaluation of performance of algorithms

S Saxena, D Mohapatra, S Padhee, GK Sahoo - Evolutionary Intelligence, 2023 - Springer
Recently machine learning algorithms are widely used for the prediction of different
attributes, and these algorithms find widespread applications in a variety of domains …

[HTML][HTML] A fully distributed voting strategy for AHU fault detection and diagnosis based on a decentralized structure

B Feng, Q Zhou, J Xing, Q Yang, X Qin, Y Mo, W Chen - Energy Reports, 2022 - Elsevier
Air handling units (AHUs) are essential for the regulation and circulation of indoor air in
modern buildings and for providing a comfortable environment. However, the performance …

Review of ensemble classification over data streams based on supervised and semi-supervised

M Han, X Li, L Wang, N Zhang… - Journal of Intelligent & …, 2022 - content.iospress.com
Most data stream ensemble classification algorithms use supervised learning. This method
needs to use a large number of labeled data to train the classifier, and the cost of obtaining …

Máquina de Soporte Vectorial para la Detección y Clasificación de Fallas en Sensores de Registro de Datos en Procesos Continuos

CI Sanseverinatti, MM Perdomo… - 2022 IEEE Biennial …, 2022 - ieeexplore.ieee.org
En el presente trabajo se implementó un módulo para la detección de fallas en sensores de
registro de variables en procesos continuos, el cual se desarrolló sobre la base de una …