Sensitivity of Modern Deep Learning Neural Networks to Unbalanced Datasets in Multiclass Classification Problems
M Barulina, S Okunkov, I Ulitin, A Sanbaev - Applied Sciences, 2023 - mdpi.com
Featured Application The results of the work can be used in computer vision systems for
medical problems, or other applications where the training data is highly imbalanced …
medical problems, or other applications where the training data is highly imbalanced …
[PDF][PDF] Deep Learning with Optimal Hierarchical Spiking Neural Network for Medical Image Classification.
PIR Jenifer, S Kannan - Comput. Syst. Sci. Eng., 2023 - cdn.techscience.cn
Medical image classification becomes a vital part of the design of computer aided diagnosis
(CAD) models. The conventional CAD models are majorly dependent upon the shapes …
(CAD) models. The conventional CAD models are majorly dependent upon the shapes …
Few-shot infrared image classification with partial concept feature
Few infrared image samples will bring a catastrophic blow to the recognition performance of
the model. Existing few-shot learning methods most utilize the global features of object to …
the model. Existing few-shot learning methods most utilize the global features of object to …
[HTML][HTML] 基于深度元学习的医学图像分类研究
董大山， 张仲荣， 张其斌 - Computer Science and Application, 2023 - hanspub.org
本文针对医学图像分类问题, 提出了一种基于深度元学习的多阶段小样本学习方法,
该方法结合了元学习, 迁移学习的思想. 通过引入预训练的视觉变压器模型(vision transformer) …
该方法结合了元学习, 迁移学习的思想. 通过引入预训练的视觉变压器模型(vision transformer) …
Obesity Level Prediction Using Multinomial Logistic Regression
S Srivatsan - Artificial Intelligence-based Healthcare Systems, 2023 - Springer
With the increase in remote jobs and also due to the present ongoing pandemic for the past
1 year, most of the IT companies have taken a decision and advised their employees to work …
1 year, most of the IT companies have taken a decision and advised their employees to work …
Enhancing Image Classification: A Metaheuristic-Driven Approach
P Hemashree, M Rohan, T Kalanithi, G Dhinesh… - Congress on Intelligent …, 2023 - Springer
Image classification plays an important role in many domains, ranging from healthcare to
autonomous systems. Gaining high accuracy and optimal performance in image …
autonomous systems. Gaining high accuracy and optimal performance in image …
Moving Pictures Feature Extraction Using Scheme Pixel Values Method
D Saravanan, D Joseph - Intelligent Communication Technologies and …, 2023 - Springer
Technology allows users to store a variety of datasets. Among these datasets, retrieving the
correct source from the vast respiratory system is one of the most critical tasks. This …
correct source from the vast respiratory system is one of the most critical tasks. This …
Plataforma abierta de detección de anomalías y aprendizaje automático para apoyo a la toma de decisiones en la gestión de aguas subterráneas
MT Jones Herrera - 2023 - repositorio.uchile.cl
Según informes recientes de las Naciones Unidas (2022), las cuencas principales de Chile
se encuentran bajo un estrés hídrico extremadamente alto, lo que amenaza tanto a la …
se encuentran bajo un estrés hídrico extremadamente alto, lo que amenaza tanto a la …
Computational Support for Longitudinal Well-Being
XO Xu - 2023 - search.proquest.com
As artificial-intelligent-powered devices have become more embedded in our lives, they
offer an unprecedented ability to passively sense our daily behavior at a high resolution …
offer an unprecedented ability to passively sense our daily behavior at a high resolution …
Mining Suitable Symptoms to Identify Disease Using Apriori and NBC
R Sandha, M Vasumathy - … Vision and Machine Intelligence Paradigms for …, 2023 - Springer
The availability of data mining algorithm leads to extraction of helpful knowledge through
data analysis. Researchers are concerned with using these algorithms in various fields. In …
data analysis. Researchers are concerned with using these algorithms in various fields. In …