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bayesian optimization » based optimization (Expand Search)
process optimization » model optimization (Expand Search)
image bayesian » disease bayesian (Expand Search)
primary ai » primary aim (Expand Search), primary i (Expand Search), primary pci (Expand Search)
ai process » a process (Expand Search), ti process (Expand Search), ii process (Expand Search)
bayesian optimization » based optimization (Expand Search)
process optimization » model optimization (Expand Search)
image bayesian » disease bayesian (Expand Search)
primary ai » primary aim (Expand Search), primary i (Expand Search), primary pci (Expand Search)
ai process » a process (Expand Search), ti process (Expand Search), ii process (Expand Search)
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MLP vs classification algorithms.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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Study design.
Published 2024“…At the delivery stage, all patients will receive both a Providence-type brace optimized by the semi-automatic algorithm leveraging a patient-specific FEM (Test) and a conventional Providence-type brace (Control), both designed using CAD/CAM methods. …”
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SPAM-XAI confusion matrix.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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Illustration of MLP.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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Dataset detail division.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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Software defects types.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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SMOTE representation.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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Demonstration confusion matrix.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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Analysis PC2 AU-ROC curve.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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PROMISE defects prediction attribute aspects.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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Internal architecture of the SPAM-XAI model.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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SPAM-XAI compared with previous models.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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SPAM-XAI confusion matrix using PC2 dataset.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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Overview of SPAM-XAI model complete architecture.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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SPAM-XAI using the PC1 dataset.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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SPAM-XAI using the CM1 dataset.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”
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Analysis of CM1 ROC curve.
Published 2024“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”