Prediction AUC of Strokeformer and the competitor methods on the nine small-scale binary classification datasets. حسب Maocheng Cao (22127378)

Illustration of the transformed binary images of normal, benign, and malignant samples into grayscale. حسب Tehnan I. A. Mohamed (16846175)

Effect of training regions on the performance of the Mask R-CNN detection algorithm based on the refined annotation bounding boxes. حسب Tsung-Wei Ke (18297551)

Performance of the baseline SVM and Mask R-CNN detection algorithms based on the original, manually-derived annotated bounding boxes. حسب Tsung-Wei Ke (18297551)

Performance of the Mask R-CNN detection algorithm based on the original, manually-derived, annotation bounding boxes, and the refined annotation bounding boxes. حسب Tsung-Wei Ke (18297551)

Effect of image resolution on the performance of the Mask R-CNN algorithm in detecting individual bird instances as applied to the validation imagery set. حسب Tsung-Wei Ke (18297551)

Characteristics of the data sets used to evaluate Machine Learning and Deep Learning models for arboviral diseases classification. حسب Sebastião Rogério da Silva Neto (11944944)

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The illustration depicts our CQ-CNN architecture for binary image classification. حسب Mominul Islam (3513758)

Visual representation of the combination of feature extraction approaches employed and classification algorithms to identify stomata. حسب Alexandre H. Aono (11603934)

Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment حسب Jianfang Cao (1881379)

"…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …"

The data processing and analysis pipeline. حسب Xin Zhang (35492)

AUC score comparison table for all the deep learning algorithms. حسب Khandaker Mohammad Mohi Uddin (13124356)

Summary of all non-clinical data (laboratory and others) presented in the data set used by the primary studies. حسب Sebastião Rogério da Silva Neto (11944944)

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Models used in the works divided by the main problems. حسب Sebastião Rogério da Silva Neto (11944944)

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Study selection. حسب Sebastião Rogério da Silva Neto (11944944)

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Summary of all demographic, epidemiological and clinical data presented in data set used by the primary studies. حسب Sebastião Rogério da Silva Neto (11944944)

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Distribution of samples per classes. حسب Sebastião Rogério da Silva Neto (11944944)

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Overview of the primary studies. حسب Sebastião Rogério da Silva Neto (11944944)

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Metrics used to evaluate the models proposed in the literature. حسب Sebastião Rogério da Silva Neto (11944944)

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Attributes found in the data sets. حسب Sebastião Rogério da Silva Neto (11944944)

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