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Classification performance assessment for imbalanced multiclass data [PDF]

Scientific Reports
The evaluation of diagnostic systems is pivotal for ensuring the deployment of high-quality solutions, especially given the pronounced context-sensitivity of certain systems, particularly in fields such as biomedicine.
Jesús S. Aguilar-Ruiz, Marcin Michalak
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Comments on “MLCM: Multi-Label Confusion Matrix”

IEEE Access, 2023
In the paper “MLCM: Multi-Label Confusion Matrix” a method for computing the confusion matrix for the multi-label classification problem is proposed. Although the authors state that there is no similar work on computing confusion matrix for
Damir Krstinic, Ljiljana Seric, Ivan Slapnicar   +2 more
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Visualizing Classification Results: Confusion Star and Confusion Gear

IEEE Access, 2022
Recent developments in machine learning applications are deeply concerned with the poor interpretability of most of these techniques. To gain some insights in the process of designing data-based models it is common to graphically represent the algorithm&#
Amalia Luque, Mirko Mazzoleni, Alejandro Carrasco, Antonio Ferramosca   +3 more
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Identification of wood defect using pattern recognition technique

IJAIN (International Journal of Advances in Intelligent Informatics), 2021
This study proposed a classification model for timber defect classification based on an artificial neural network (ANN). Besides that, the research also focuses on determining the appropriate parameters for the neural network model in optimizing the ...
Teo Hong Chun, Ummi Raba'ah Hashim, Sabrina Ahmad, Lizawati Salahuddin, Ngo Hea Choon, Kasturi Kanchymalay, Nur Haslinda Ismail   +6 more
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Decision-Refillable-Based Two-Material-View Fuzzy Classification for Personal Thermal Comfort

Applied Sciences, 2022
The personal thermal comfort model is used to design and control the thermal environment and predict the thermal comfort responses of individuals rather than reflect the average response of the population.
Zhaofei Xu, Weidong Lu, Zhenyu Hu, Ta Zhou, Yi Zhou, Wei Yan, Feifei Jiang   +6 more
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Classification Performance of a Novel Hydraulic Classifier Equipped with a W-Shaped Reflector

Separations, 2022
In the present research, we propose the use of a novel hydraulic classifier equipped with a W-shaped reflector to enhance classification performance. The effects of the structural dimensions of a W-shaped reflector on the flow field of a classifier and ...
Yuekan Zhang, Yaoxu Duan, Lanyue Jiang, Jingzhen Cao   +3 more
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Coronary Artery Disease Detection by Machine Learning with Coronary Bifurcation Features

Applied Sciences, 2020
Background: Early accurate detection of coronary artery disease (CAD) is one of the most important medical research areas. Researchers are motivated to utilize machine learning techniques for quick and accurate detection of CAD.
Xueping Chen, Yi Fu, Jiangguo Lin, Yanru Ji, Ying Fang, Jianhua Wu   +5 more
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A Novel Medical Image Enhancement Algorithm for Breast Cancer Detection on Mammography Images Using Machine Learning

Diagnostics, 2023
Mammography is the most preferred method for breast cancer screening. In this study, computer-aided diagnosis (CAD) systems were used to improve the image quality of mammography images and to detect suspicious areas.
Hanife Avcı, Jale Karakaya
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The Effect of Preprocessing Techniques, Applied to Numeric Features, on Classification Algorithms’ Performance

Data, 2021
It is recognized that the performance of any prediction model is a function of several factors. One of the most significant factors is the adopted preprocessing techniques.
Esra’a Alshdaifat, Doa’a Alshdaifat, Ayoub Alsarhan, Fairouz Hussein, Subhieh Moh’d Faraj S. El-Salhi   +4 more
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Ensemble Learning for Multi-Label Classification with Unbalanced Classes: A Case Study of a Curing Oven in Glass Wool Production

Mathematics, 2023
The Industrial Internet of Things (IIoT), which integrates sensors into the manufacturing system, provides new paradigms and technologies to industry.
Minh Hung Ho, Amélie Ponchet Durupt, Hai Canh Vu, Nassim Boudaoud, Arnaud Caracciolo, Sophie Sieg-Zieba, Yun Xu, Patrick Leduc   +7 more
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