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ConvXGB: A new deep learning model for classification problems based on CNN and XGBoost

Research article (Nuclear Engineering and Technology, 2020) · cited 164× · AI/ML
academia openalex:W3046626379
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ConvXGB: A new deep learning model for classification problems based on CNN and XGBoost

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ConvXGB: A new deep learning model for classification problems based on CNN and XGBoost is a scholarly article[1].

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  • ConvXGB: A new deep learning model for classification problems based on CNN and XGBoost's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). ConvXGB: A new deep learning model for classification problems based on CNN and XGBoost. Retrieved May 24, 2026, from https://4ort.xyz/entity/convxgb-a-new-deep-learning-model-for-classification-problems-based-on-cnn-and-xgboost
MLA “ConvXGB: A new deep learning model for classification problems based on CNN and XGBoost.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/convxgb-a-new-deep-learning-model-for-classification-problems-based-on-cnn-and-xgboost.
BibTeX @misc{4ortxyz_convxgb-a-new-deep-learning-model-for-classification-problems-based-on-cnn-and-xgboost_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ConvXGB: A new deep learning model for classification problems based on CNN and XGBoost}}, year = {2026}, url = {https://4ort.xyz/entity/convxgb-a-new-deep-learning-model-for-classification-problems-based-on-cnn-and-xgboost}, note = {Accessed: 2026-05-24}}
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