بدائل البحث:
process optimization » model optimization (توسيع البحث)
whale optimization » swarm optimization (توسيع البحث)
primary cycle » primary care (توسيع البحث), primary cause (توسيع البحث), primary cells (توسيع البحث)
cycle process » whole process (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data whale » data where (توسيع البحث), data wales (توسيع البحث)
process optimization » model optimization (توسيع البحث)
whale optimization » swarm optimization (توسيع البحث)
primary cycle » primary care (توسيع البحث), primary cause (توسيع البحث), primary cells (توسيع البحث)
cycle process » whole process (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data whale » data where (توسيع البحث), data wales (توسيع البحث)
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MLP vs classification algorithms.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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4
Optimal Legislative County Clustering in North Carolina
منشور في 2021"…Under these guidelines, the counties are separated into clusters; each cluster contains a specified number of districts and that are drawn independent from other clusters. The primary goal of this work is to develop, present, and publicly release an algorithm to optimally cluster counties according to the guidelines set by the court in 2015. …"
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5
SPAM-XAI confusion matrix.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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6
Illustration of MLP.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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7
Dataset detail division.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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8
Software defects types.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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9
SMOTE representation.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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10
Demonstration confusion matrix.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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11
Analysis PC2 AU-ROC curve.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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12
PROMISE defects prediction attribute aspects.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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13
Internal architecture of the SPAM-XAI model.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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14
SPAM-XAI compared with previous models.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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15
SPAM-XAI confusion matrix using PC2 dataset.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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16
Overview of SPAM-XAI model complete architecture.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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17
SPAM-XAI using the PC1 dataset.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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18
SPAM-XAI using the CM1 dataset.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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19
Analysis of CM1 ROC curve.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). 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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20
SPAM-XAI confusion matrix using PC1 dataset.
منشور في 2024"…Moreover, traditional SDP models lack transparency and interpretability, which impacts stakeholder confidence in the Software Development Life Cycle (SDLC). We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …"