Data_Sheet_1_Pneumonia detection by binary classification: classical, quantum, and hybrid approaches for support vector machine (SVM).pdf حسب Sai Sakunthala Guddanti (17739363)

"…A support vector machine (SVM) is attractive because binary classification can be represented as an optimization problem, in particular as a Quadratic Unconstrained Binary Optimization (QUBO) model, which, in turn, maps naturally to an Ising model, thereby making annealing—classical, quantum, and hybrid—an attractive approach to explore. …"

Binary classification predictions. حسب Thierry Jean (20691795)

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Binary classification task performance. حسب Thierry Jean (20691795)

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

Relationship between ordinal regression and binary classification performance. حسب Thierry Jean (20691795)

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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)

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

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)

Numerical example for determining the optimal number of clusters in Algorithm 2. حسب Yi Wei Tye (22208735)

Convergence curve of feature selection algorithms across 11 datasets with KNN classifier. حسب Yi Wei Tye (22208735)

The illustration depicts our CQ-CNN architecture for binary image classification. حسب Mominul Islam (3513758)

Label distributions across mental states and dataset splits. حسب Thierry Jean (20691795)

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DataSheet2_Disordered–Ordered Protein Binary Classification by Circular Dichroism Spectroscopy.PDF حسب András Micsonai (801004)

"…Here, we propose an automatized binary disorder–order classification method by analyzing far-UV CD spectroscopy data. …"

DataSheet3_Disordered–Ordered Protein Binary Classification by Circular Dichroism Spectroscopy.xlsx حسب András Micsonai (801004)

"…Here, we propose an automatized binary disorder–order classification method by analyzing far-UV CD spectroscopy data. …"

DataSheet1_Disordered–Ordered Protein Binary Classification by Circular Dichroism Spectroscopy.PDF حسب András Micsonai (801004)

"…Here, we propose an automatized binary disorder–order classification method by analyzing far-UV CD spectroscopy data. …"

Passive sensing data. حسب Thierry Jean (20691795)

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