Summary of classification algorithms. حسب Stephen R. Piccolo (8367780)

Relative classification performance per combination of feature-selection and classification algorithm. حسب Stephen R. Piccolo (8367780)

Comparison of ranks for classification algorithms across performance metrics. حسب Stephen R. Piccolo (8367780)

Tradeoff between execution time and predictive performance for classification algorithms. حسب Stephen R. Piccolo (8367780)

Versions of the core libraries used in this work. حسب Shuvo Biswas (21728782)

Summary of feature-selection algorithms. حسب Stephen R. Piccolo (8367780)

Relative performance of classification algorithms using gene-expression and clinical predictors and performing feature selection. حسب Stephen R. Piccolo (8367780)

Hi-C read-pair classifications. حسب Matthew Z. DeMaere (6404834)

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. …"

Serum Protein Fishing for Machine Learning-Boosted Diagnostic Classification of Small Nodules of Lung حسب Mengjie Wang (436531)

"…Diagnosis of benign and malignant small nodules of the lung remains an unmet clinical problem which is leading to serious false positive diagnosis and overtreatment. Here, we developed a serum protein fishing-based spectral library (ProteoFish) for data independent acquisition analysis and a machine learning-boosted protein panel for diagnosis of early Non-Small Cell Lung Cancer (NSCLC) and classification of benign and malignant small nodules. …"

Serum Protein Fishing for Machine Learning-Boosted Diagnostic Classification of Small Nodules of Lung حسب Mengjie Wang (436531)

"…Diagnosis of benign and malignant small nodules of the lung remains an unmet clinical problem which is leading to serious false positive diagnosis and overtreatment. Here, we developed a serum protein fishing-based spectral library (ProteoFish) for data independent acquisition analysis and a machine learning-boosted protein panel for diagnosis of early Non-Small Cell Lung Cancer (NSCLC) and classification of benign and malignant small nodules. …"

Serum Protein Fishing for Machine Learning-Boosted Diagnostic Classification of Small Nodules of Lung حسب Mengjie Wang (436531)

"…Diagnosis of benign and malignant small nodules of the lung remains an unmet clinical problem which is leading to serious false positive diagnosis and overtreatment. Here, we developed a serum protein fishing-based spectral library (ProteoFish) for data independent acquisition analysis and a machine learning-boosted protein panel for diagnosis of early Non-Small Cell Lung Cancer (NSCLC) and classification of benign and malignant small nodules. …"

Serum Protein Fishing for Machine Learning-Boosted Diagnostic Classification of Small Nodules of Lung حسب Mengjie Wang (436531)

"…Diagnosis of benign and malignant small nodules of the lung remains an unmet clinical problem which is leading to serious false positive diagnosis and overtreatment. Here, we developed a serum protein fishing-based spectral library (ProteoFish) for data independent acquisition analysis and a machine learning-boosted protein panel for diagnosis of early Non-Small Cell Lung Cancer (NSCLC) and classification of benign and malignant small nodules. …"

Serum Protein Fishing for Machine Learning-Boosted Diagnostic Classification of Small Nodules of Lung حسب Mengjie Wang (436531)

"…Diagnosis of benign and malignant small nodules of the lung remains an unmet clinical problem which is leading to serious false positive diagnosis and overtreatment. Here, we developed a serum protein fishing-based spectral library (ProteoFish) for data independent acquisition analysis and a machine learning-boosted protein panel for diagnosis of early Non-Small Cell Lung Cancer (NSCLC) and classification of benign and malignant small nodules. …"

A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems حسب Giandomenico De Luca (11007332)

Relative predictive performance when using default algorithm hyperparameters and all features vs. tuning hyperparameters or selecting features. حسب Stephen R. Piccolo (8367780)

Relative predictive performance when training on gene-expression predictors alone vs. using clinical predictors alone or gene-expression predictors in combination with clinical pre... حسب Stephen R. Piccolo (8367780)

Summary of datasets used. حسب Stephen R. Piccolo (8367780)

Summary of predictive performance per dataset when using gene-expression predictors. حسب Stephen R. Piccolo (8367780)

Summary of predictive performance per dataset when using clinical predictors. حسب Stephen R. Piccolo (8367780)