Search alternatives:
identification algorithm » classification algorithm (Expand Search), detection algorithm (Expand Search)
robust identification » risk identification (Expand Search), protein identification (Expand Search), correct identification (Expand Search)
access optimization » process optimization (Expand Search), stress optimization (Expand Search), process optimisation (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary care » primary care (Expand Search), binary image (Expand Search), binary pairs (Expand Search)
identification algorithm » classification algorithm (Expand Search), detection algorithm (Expand Search)
robust identification » risk identification (Expand Search), protein identification (Expand Search), correct identification (Expand Search)
access optimization » process optimization (Expand Search), stress optimization (Expand Search), process optimisation (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
binary care » primary care (Expand Search), binary image (Expand Search), binary pairs (Expand Search)
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Supplementary Material 8
Published 2025“…By mitigating class imbalance, SMOTE enables robust AMR detection, aiding in early identification of drug-resistant bacteria and informing antibiotic stewardship efforts.…”
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An AI-based Ecosystem for Real-time Gravitational Wave Analyses
Published 2024“…<p dir="ltr">Deep learning algorithms have excelled in various domains. Despite this success, few deep-learning models have seen full end-to-end deployment in gravitational-wave searches, both in real-time and on archival data. …”
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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.…”