Classification accuracy with others CNNs algorithms. حسب Jun Tan (46388)

Examples of cases in which the model failed to classify the parasites correctly, leading to misclassification and a drop in performance. حسب Hamid Cheraghi (22057476)

Notations and definitions used in the algorithm. حسب Nazym Alimbekova (22766158)

A comparison of with other published cancer prediction algorithms. حسب Ruiyu Zhan (21602031)

الموضوعات:

Classification Report for the proposed model. حسب Khondokar Oliullah (21553289)

Data from an Investigation of Music Analysis by the Application of Grammar-based Compressor حسب David Humphreys (19079318)

"…<br>Average Recall from all attempts to select the correct position of the error.<br>Average rank from all instances where the correct position of the error was found.…"

Confusion matrices depict the performance of various ML algorithms. حسب Caroline L. Alves (14271413)

Workflow of the proposed enhanced Random Forest (eRF) algorithm for volcanic lithology classification. حسب Xiu Jin (9452603)

The correctly and incorrectly predicted instances for each author—The performance of the XGBoost classifier (TF-IDF features). حسب Arta Misini (19929042)

The correctly and incorrectly predicted instances for each author—The performance of the XGBoost classifier (hand-crafted features). حسب Arta Misini (19929042)

Effects of processing rate and algorithms performance on estimates of biodiversity. حسب Valentine Fleuré (12822137)

Comparison of feature-based and Uniform Manifold Approximation and Projection (UMAP)-based spike sorting for neuron classification. حسب Daniel Suárez-Barrera (22676654)

Binary classification task performance. حسب Thierry Jean (20691795)

Effect of post-processing threshold and algorithms performance on the species composition estimation. حسب Valentine Fleuré (12822137)

Comparison of classification accuracy of our developed method and existing channel selection methods of dataset 3. حسب Taslima Khanam (9739867)

Comparison of classification accuracy of our developed method and existing channel selection methods of dataset 2. حسب Taslima Khanam (9739867)

Comparison of classification accuracy of our developed method and existing channel selection methods of dataset 1. حسب Taslima Khanam (9739867)

Effect of post-processing threshold and algorithms performance on the communities abundance-structure estimation. حسب Valentine Fleuré (12822137)

Data Sheet 1_Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis.pdf حسب Tingnan Chen (21189899)

"…The system includes a hardware device to provide a stable acquisition environment, an improved semi-supervised learning segmentation algorithm based on U2net, a high-performance colour correction module for standardising the segmented images, and a tongue image analysis algorithm that fuses different features according to the characteristics of each feature of the TCM tongue image. …"

scMoMtF corrects batch effect in the CITE-seq dataset. حسب Wei Lan (1390307)