Comparison of CRN_SMOTE results with RN_SMOTE in ILPD dataset for <i>K</i>_<i>SMOTE</i> = 5. by Javad Hemmatian (20700209)

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Comparison of CRN_SMOTE results with RN_SMOTE on QSAR dataset for <i>K</i>_<i>SMOTE</i> = 5. by Javad Hemmatian (20700209)

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Comparison of CRN_SMOTE results with RN_SMOTE on Health risk dataset for <i>K</i>_<i>SMOTE</i> = 5. by Javad Hemmatian (20700209)

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The average values of evaluation metrics on ILDP, QSAR, Blood and Health risk imbalanced datasets using RF classifiers and 10-fold cross validation methodology. by Javad Hemmatian (20700209)

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The used datasets with their details. by Javad Hemmatian (20700209)

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Comparison of CRN_SMOTE results with RN_SMOTE on Blood dataset for <i>K</i>_<i>SMOTE</i> = 5. by Javad Hemmatian (20700209)

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The methodology for dividing the samples of datasets for evaluation in classification methods: (a) splitting the datasets into training and test sets for datasets with sufficient s... by Javad Hemmatian (20700209)

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Imbalanced classification metric. by Javad Hemmatian (20700209)

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The definition of a confusion matrix. by Javad Hemmatian (20700209)

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The stages of RN-SMOTE. by Javad Hemmatian (20700209)

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A comparison of the CRN-SMOTE and RN-SMOTE methods on the health risk dataset based on different classification metrics using the Random Forest classifier. by Javad Hemmatian (20700209)

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A comparison of the RN-SMOTE, SMOTE-Tomek Link, SMOTE-ENN, and the proposed 1CRN-SMOTE methods on the Blood and Health-risk datasets is presented, based on various classification m... by Javad Hemmatian (20700209)

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Concepts of oversampling and undersampling techniques. by Javad Hemmatian (20700209)

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Clusters generated using DBSCAN: (a) Clusters consisting of samples from category 1; (b) Clusters consisting of samples from category 2. by Javad Hemmatian (20700209)

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The average values of evaluation metrics on ILDP, QSAR, Blood and Health risk imbalanced datasets using ADA classifiers and 10-fold cross validation methodology. by Javad Hemmatian (20700209)

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The average values of evaluation metrics on ILDP, QSAR, Blood and Health risk imbalanced datasets using SVM classifiers and 10-fold cross validation methodology. by Javad Hemmatian (20700209)

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SpeLL: An Agent for Natural Language-Driven Intelligent Spectral Modeling by Jiashun Fu (20888176)

“…The core strength of SpeLL lies in its dual RAG pathways. The Code RAG provides specialized code knowledge for spectral data analysis, enabling the LLM to generate robust and domain-specific analytical scripts that address the implementation and optimization of algorithms. …”

Data Sheet 1_A hyperspectral approach for retrieving inherent optical properties, phytoplankton pigments, and associated uncertainties from non-water absorption.pdf by Brice Grunert (13582600)

Flow chart of the AWGE-ESPCA model. by Rui Miao (1592461)

Prediction of TFs for key anoikis-related genes. by Yufeng He (5673119)

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