Search alternatives:
significant attention » significant potential (Expand Search), significant reduction (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search)
marked decrease » marked increase (Expand Search)
attention heads » attention heatmaps (Expand Search)
significant attention » significant potential (Expand Search), significant reduction (Expand Search)
largest decrease » largest decreases (Expand Search), larger decrease (Expand Search)
marked decrease » marked increase (Expand Search)
attention heads » attention heatmaps (Expand Search)
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Impact of attention head.
Published 2025“…To address the problems, this paper proposes an aspect-level sentiment analysis model (MSDC) based on multi-scale dual-channel feature fusion. First, through multi-head gated self-attention channels and graph neural network channels, the model further enhances its understanding of the spatial hierarchical structure of text data and improves the expressiveness of features. …”
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Structure of multi-head self-attention.
Published 2025“…In this study, we propose the SMMTM model, which combines spatiotemporal convolution (SC), multi-branch separable convolution (MSC), multi-head self-attention (MSA), temporal convolution network (TCN), and multimodal feature fusion (MFF). …”
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Multi-head gated self-attention mechanism.
Published 2025“…To address the problems, this paper proposes an aspect-level sentiment analysis model (MSDC) based on multi-scale dual-channel feature fusion. First, through multi-head gated self-attention channels and graph neural network channels, the model further enhances its understanding of the spatial hierarchical structure of text data and improves the expressiveness of features. …”
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Light multi-head self-attention.
Published 2024“…Meanwhile, this model employs a light multi-head attention mechanism module with an alternating structure, which can comprehensively extract multi-scale features while significantly reducing computational costs. …”
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Multi-head self-attention module.
Published 2024“…Meanwhile, this model employs a light multi-head attention mechanism module with an alternating structure, which can comprehensively extract multi-scale features while significantly reducing computational costs. …”
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Attention-LSTM performance.
Published 2025“…The research conclusively establishes that synergistic integration of adaptive signal processing and attention-based deep learning significantly advances PD diagnostics, achieving both computational efficiency and robust performance in complex operational environments.…”
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