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)

Flowchart for teaching and learning implementation of the 2D aesthetic program cluster in rural schools. by Zhankun Han (20529082)

Salt chemotaxis learning assay. by Masahiro Tomioka (430683)

Skin marks is the S1 Fig title. by Mercedes Soto-González (20422078)

Loss of MAP4K4 expression causes a decrease in the number of neutrophils. by Guihua Wang (286390)

Social change: No decrease in singing rate upon first-time social isolation in the same environment. by Anja T. Zai (9225852)

Learn!Bio study: Grouping of Participants. by Katy Andrews (22311170)

Subjects: “…Biological Sciences not elsewhere classified…”