Search alternatives:
resource classification » source classification (Expand Search), gesture classification (Expand Search), research classification (Expand Search)
dose optimization » based optimization (Expand Search), model optimization (Expand Search), wolf optimization (Expand Search)
task resource » a resource (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary task » binary mask (Expand Search)
data dose » data due (Expand Search), data de (Expand Search)
resource classification » source classification (Expand Search), gesture classification (Expand Search), research classification (Expand Search)
dose optimization » based optimization (Expand Search), model optimization (Expand Search), wolf optimization (Expand Search)
task resource » a resource (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary task » binary mask (Expand Search)
data dose » data due (Expand Search), data de (Expand Search)
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Parameters of the experiments.
Published 2023“…<div><p>In the current era, quantum resources are extremely limited, and this makes difficult the usage of quantum machine learning (QML) models. …”
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Quantum pipeline workflow overview.
Published 2023“…<div><p>In the current era, quantum resources are extremely limited, and this makes difficult the usage of quantum machine learning (QML) models. …”
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Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
Published 2025“…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…”