Cascaded classifiers and stacking methods for classification of pulmonary nodule characteristics

A Kaya - Computer methods and programs in biomedicine, 2018 - Elsevier
Abstract Background and Objectives Detection and classification of pulmonary nodules are
critical tasks in medical image analysis. The Lung Image Database Consortium (LIDC) …

ORBoost: An Orthogonal AdaBoost

Z Bostanian, R Boostani, M Sabeti… - Intelligent Data …, 2022 - content.iospress.com
Ensemble learners and deep neural networks are state-of-the-art schemes for classification
applications. However, deep networks suffer from complex structure, need large amount of …

[图书][B] Advanced Data Mining and Applications: 17th International Conference, ADMA 2021, Sydney, NSW, Australia, February 2–4, 2022, Proceedings, Part I

B Li, L Yue, J Jiang, W Chen, X Li, G Long, F Fang… - 2022 - books.google.com
This book constitutes the proceedings of the 17th International Conference on Advanced
Data Mining and Applications, ADMA 2021, held in Sydney, Australia in February 2022 …

Web prediction framework for college selection based on the hybrid Case Based Reasoning model and expert's knowledge

B Trstenjaka, D Donkob - International journal of hybrid …, 2016 - content.iospress.com
Higher education today represents the basis of any successful society. Every day we are
witnessing an increase in the number of HEI, an increase in the number of students but also …

Constrained Energy Minimization for Hyperspectral Multi-target Detection Based on Ensemble Learning

Q Wu, Z Liu - International Conference on Advanced Data Mining …, 2022 - Springer
The traditional hyperspectral target detection usually recognizes a single type of object at
one time. However, there are usually various categories of targets in real scenarios, and it is …