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Book Open access Nov 2026

MAPLE: Mamba-Based Adaptive Prototype Learning for Intent Disentanglement in Sequential Recommendation

Sequential recommender systems struggle to simultaneously capture persistent long-term preferences and volatile short-term intentions, while existing dual-stream architectures are computationally inefficient when handling long sequences and suffer from feature entanglement between the two interest streams. To address t...

Yue Xie, Yan Zhang, Guo Chen et al. · 0 citations
Book Open access Nov 2026

MAPLE: Mamba-Based Adaptive Prototype Learning for Intent Disentanglement in Sequential Recommendation

Sequential recommender systems struggle to simultaneously capture persistent long-term preferences and volatile short-term intentions, while existing dual-stream architectures are computationally inefficient when handling long sequences and suffer from feature entanglement between the two interest streams. To address t...

Yue Xie, Yan Zhang, Guo Chen et al. · 0 citations
Review Aug 2026

Global-regional anti-noise network for cross-subject EEG emotion recognition.

GRANet can robustly handle real-world EEG noise challenges while maintaining high recognition accuracy, establishing it as a promising solution for practical emotion recognition applications.

Yilin Wang, Li Zhang, Yan Zhang · 0 citations
Open access Sep 2026

Machine Learning Comparison and Combined Model Optimization Based on DCE‐MRI Radiomics for Preoperative Assessment of Lymphovascular Invasion in Breast Cancer: A Multicenter Study

To explore the value of constructing a radiomics combined model based on preoperative dynamic contrast‐enhanced magnetic resonance imaging (DCE‐MRI) for predicting lymphovascular invasion (LVI) in breast cancer.

Hon-Gen Li, Qing Xiao, Yi-Hui Zeng et al. · 0 citations

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