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Found 4 papers, 1 papers with code
On the Convergence of Sigmoid and tanh Fuzzy General Grey Cognitive Maps
By comparing with the convergence theorems of FCM and FGCM, the effectiveness of the theorems proposed in this paper was verified.
HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition
Although in high-noise settings, standard CNNs exhibit slightly greater robustness when compared to HB-net models, the models that combine the HB framework and EA mechanism achieve a comparable level of accuracy and resilience to ResNet50, despite having only three convolutional layers and approximately $1/30$ of the parameters.
Multi-channel deep convolutional neural networks for multi-classifying thyroid disease
Therefore, this study proposed a novel multi-channel convolutional neural network (CNN) architecture to address the multi-class classification task of thyroid disease.
Exploiting Review Neighbors for Contextualized Helpfulness Prediction
Four weighting schemes are designed to learn context clues from the selected neighbors.
