Accuracy of multiple classifiers with a deep-learning-based feature set by Afira Aslam (21433666)

Subjects: “…Biological Sciences not elsewhere classified…”

The performance (F1) of 11 behavioral classifiers (models) and their corresponding Detection Thresholds. by Piotr Popik (292215)

Subjects: “…Biological Sciences not elsewhere classified…”

Confusion matrix for the proposed ensemble classifier. by Afira Aslam (21433666)

Subjects: “…Biological Sciences not elsewhere classified…”

Logistic Classifier Confusion Matrix. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

Decrease in loss during the training process. by Muhammad Idrees (92773)

Statistic Result of Random Forest Classifier. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

Statistic Result of Support Vector Classifier. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

Confusion Matrix for Support Vector Classifier. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

Naïve Bayes Classifier Confusion Matrix. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

Creating JAABA classifiers. by Rachel S. Clein (19853604)

Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

Statistic Result of <i>Naïve Bayes Classifier.</i> by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

A sample precision curve of "anogenital sniffing" classifier shows its maximum F1 = 0.77 at Detection Threshold ~ 0.3. by Piotr Popik (292215)

Subjects: “…Biological Sciences not elsewhere classified…”

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Detailed breakdown of sex-biased model performance across different sex-specific test subsets. by M. Mendez (6624953)

Subjects: “…Biological Sciences not elsewhere classified…”

Sex-biased model performance on a sex-balanced dataset. by M. Mendez (6624953)

Subjects: “…Biological Sciences not elsewhere classified…”

Grad-CAM heatmaps showing model focus in sex-biased synovial recess distension detection. by M. Mendez (6624953)

Subjects: “…Biological Sciences not elsewhere classified…”

Overview of the study workflow for AI-driven musculoskeletal ultrasound analysis. by M. Mendez (6624953)

Subjects: “…Biological Sciences not elsewhere classified…”

Model accuracy by sex and synovial recess distension in test sub-populations. by M. Mendez (6624953)

Subjects: “…Biological Sciences not elsewhere classified…”

Grad-CAM visualizations of the sex-classification model applied to knee joint ultrasound images. by M. Mendez (6624953)

Subjects: “…Biological Sciences not elsewhere classified…”