3 papers
cs.LG2026
Fusion of Multiscale Features Via Centralized Sparse-attention Network for EEG Decoding
Xiangrui Cai, Shaocheng Ma, Lei Cao +3
Electroencephalography (EEG) signal decoding is a key technology that translates brain activity into executable commands, laying the foundation for direct brain-machine interfacing…
cs.CV2025
Quantum Conflict Measurement in Decision Making for Out-of-Distribution Detection
Yilin Dong, Tianyun Zhu, Xinde Li +5
Quantum Dempster-Shafer Theory (QDST) uses quantum interference effects to derive a quantum mass function (QMF) as a fuzzy metric type from information obtained from various data s…
eess.SP2025
IncepFormerNet: A multi-scale multi-head attention network for SSVEP classification
Yan Huang, Yongru Chen, Lei Cao +4
In recent years, deep learning (DL) models have shown outstanding performance in EEG classification tasks, particularly in Steady-State Visually Evoked Potential(SSVEP)-based Brain…