MSE for ILSTM algorithm in binary classification. حسب Asmaa Ahmed Awad (16726315)

"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"

ROC curve for binary classification. حسب Nicodemus Songose Awarayi (18414494)

"…The proposed model yielded notable results, such as an accuracy of 93.45% and an area under the curve value of 0.99 when trained on the three classes. The model further showed superior results on binary classification compared with existing methods. …"

Confusion matrix for binary classification. حسب Nicodemus Songose Awarayi (18414494)

"…The proposed model yielded notable results, such as an accuracy of 93.45% and an area under the curve value of 0.99 when trained on the three classes. The model further showed superior results on binary classification compared with existing methods. …"

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)

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

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

Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data حسب Changhun Kim (682542)

الموضوعات:

Performance metrics for random forest binary classification models. حسب Alex P. Lind (6945287)

Applying the proposed image enhancement algorithm. حسب Nicodemus Songose Awarayi (18414494)

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. …"

Comparing the performance of One-class classifiers with their respective binary classifier. حسب Efrat Cohen-Davidi (19485986)

Classification report based on HaPi. حسب Akib Mohi Ud Din Khanday (19065631)

Hair removal preprocessing using the DullRazor algorithm before image generation. حسب Mujung Kim (22367223)

Receiver operating characteristic curve for each method using the validation predictions of the binary classification problem where the positive class is malignant and the negative... حسب Alberto Garcia-Zamalloa (319006)

Mean accuracies of the classifiers trained with image descriptor features for the stomata classification task. حسب Alexandre H. Aono (11603934)

Precision-recall curve for each method using the validation predictions of the binary classification problem where the positive class is <i>malignant</i> and the negative class is... حسب Alberto Garcia-Zamalloa (319006)

Time-based splitting strategy and forecast horizons. حسب Thierry Jean (20691795)

Testing results for classifying AD, MCI and NC. حسب Nicodemus Songose Awarayi (18414494)

"…The proposed model yielded notable results, such as an accuracy of 93.45% and an area under the curve value of 0.99 when trained on the three classes. The model further showed superior results on binary classification compared with existing methods. …"

Summary of existing CNN models. حسب Nicodemus Songose Awarayi (18414494)

"…The proposed model yielded notable results, such as an accuracy of 93.45% and an area under the curve value of 0.99 when trained on the three classes. The model further showed superior results on binary classification compared with existing methods. …"

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

"…To address this, the research integrates a modified A* pathfinding algorithm with a U-Net convolutional neural network, a custom statistical binary classification method, and a personalized Min-Max connectivity threshold to automate the detection of astrocyte connectivity.…"