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Deep learning empowered sensor fusion boosts infant movement classification
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Computation of Surface Water Resources Quantity in Plain Region by Ground Classification Method
Published 2003-01-01Get full text
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Research on medical small sample data classification based on SMOTE and gcForest
Published 2023-06-01“…Aiming at the problem of poor classification performance in traditional machine learning models caused by shallow model structure and complex data characteristics in small medical sample data, an combine multi- grained improved cascade forest (cgicForest) model was proposed.It enhances the representation learning ability of the model by adding random sampling into the multi-grained scanning and optimizing the transformation features.It also enhances the model's classification ability by updating the cascade forest’s hierarchical structure.Considering category imbalance problems in datasets, the safe-borderline-SMOTE (SBS) algorithm was proposed to dynamic interpolate around the few class samples belonging to the safety boundary, which can improve the quality of training data.The cgicForest was applied for training and learning, thus the SBS-cgicForest classification model was obtained which can support imbalanced medical small samples data.The model is used on three medical datasets for classification experiments.The results show that the performance indexes of the cgicForest model in the classification of medical small sample data with complex characteristics have increased by 4.1～5.4 percentage points, compared with the multi-grained cascade forest (gcForest) model.The performance indexes have increase by 6.6～11.2 percentage points after the combination with SBS algorithm, the F<sub>1</sub> score was 2～2.5 percentage points higher than that obtained by traditional sampling methods.It provides a reference for solving the classification problem of small medical sample data, and includes support for internet of things applications in smart medical scenarios.…”
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Classification Based on Pruning and Double Covered Rule Sets for the Internet of Things Applications
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Reducing Data Volume in News Topic Classification: Deep Learning Framework and Dataset
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Healthy core: Harmonizing brain MRI for supporting multicenter migraine classification studies.
Published 2024-01-01“…We utilized two datasets: one comprising 120 individuals (66 with migraine and 54 healthy controls), and another comprising 76 individuals (34 with migraine and 42 healthy controls). …”
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Unifying topological structure and self-attention mechanism for node classification in directed networks
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An efficient hybrid model of CNNs and different kernels of SVM for brain tumor classification
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C-parameter version of robust bounded one-class support vector classification
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Ion channel classification through machine learning and protein language model embeddings
Published 2024-11-01Get full text
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Deep Learning Algorithm Analysis of Potato Disease Classification for System on Chip Implementation
Published 2024-06-01Get full text
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A Novel Insight into Paraptosis-Related Classification and Signature in Lower-Grade Gliomas
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Vegetation Classification in a Mountain–Plain Transition Zone in the Sichuan Basin, China
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Corrigendum to “Hardware Accelerators Targeting a Novel Group Based Packet Classification Algorithm”
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Imaging Features of the Mesenchymal Tumors of the Breast according to WHO Classification: A Pictorial Essay
Published 2025-01-01Get full text
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