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. …"

Classification accuracy values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

The classification algorithm flow chart for binary classification among NC, EMCI, LMCI and AD groups. حسب Qian Zhang (49333)

Sensitivity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Specificity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Fitness values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Number of features selected for IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

F-score values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

Binary classification results on the variant data (affecting/non affecting). حسب Yaron Strauch (12769860)

The workflow of SCARS-Logistic algorithm. حسب Maryam Sadiq (7046903)

Predictive performance of algorithms for binary classification of bacterial vs. non-bacterial meningitis (AUC-ROC). حسب Audêncio Victor (10400699)

An example of 2-dimensional non-linearly separable and non-separable data for binary classification. حسب Yuji Oyamada (11714754)

Performance metrics of best algorithms for binary classification of bacterial vs. non-bacterial meningitis with hyperparameter tuning. حسب Audêncio Victor (10400699)

Predictive performance of algorithms for binary classification of bacterial vs. non-bacterial meningitis: weighted average (AUC-ROC). حسب Audêncio Victor (10400699)

Predictive performance of algorithms for multiclass classification by serogroup of bacterial meningitis: weighted average per algorithm (AUC-ROC). حسب Audêncio Victor (10400699)

Predictive performance of algorithms for multiclass classification by serogroup of bacterial meningitis (AUC-ROC). حسب Audêncio Victor (10400699)

Feature Selection for Microarray Data Classification Using Hybrid Information Gain and a Modified Binary Krill Herd Algorithm حسب Ge Zhang (112487)

"…A pre-screening method of feature ranking which is based on information gain (IG) and an improved binary krill herd (MBKH) algorithm are integrated in this strategy. …"

Performance metrics of best algorithms for multiclass classification by serogroup of bacterial meningitis with hyperparameter tuning. حسب Audêncio Victor (10400699)

Data embedding by using Neural Quantum Embedding (NQE). حسب Aninda Astuti (21736334)

Presentation_1_Modified GAN Augmentation Algorithms for the MRI-Classification of Myocardial Scar Tissue in Ischemic Cardiomyopathy.PPTX حسب Umesh C. Sharma (10785063)

"…Currently, there are no optimized deep-learning algorithms for the automated classification of scarred vs. normal myocardium. …"